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    <pubDate>Wed, 11 Mar 2026 08:30:00 +0000</pubDate>
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    <itunes:summary>Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</itunes:summary>
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      <title>Re-Air: Data Tools, Templates, and the Trouble with “Easy” Solutions with the Cynical Data Guy</title>
      <description><![CDATA[<p>This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. This week on <i>The Data Stack Show</i>, John and Matt bring you another edition of the Cynical Data Guy. John and Matt dive into the evolution of customer data infrastructure, the growing influence of low-code tools like Clay, and the blurred lines around the “engineer” title in modern data roles. They also discuss the trade-offs between SaaS adoption and building custom solutions, the pitfalls of enterprise software buying, and the realities of platform lock-in—using Palantir’s unique business model as a case study. Key takeaways include the importance of simplicity and scalability in data engineering, the need for clear requirements when evaluating tools, and a healthy skepticism toward sales pitches and “art of the possible” features. Don’t miss this month’s Cynical Data Guy. </p>
<p>Highlights from this week’s conversation include:</p>
<ul>
 <li>Reacting to the Rise of the GTM Engineer (1:11)</li>
 <li>Is "Engineer" the Right Term? (4:49)</li>
 <li>Low-Code Tools, AI, and Future Workflows (7:14)</li>
 <li>Simplicity in Data Engineering (14:38)</li>
 <li>The Pitfalls of "Simple" Solutions (15:18)</li>
 <li>Choosing SaaS vs. Building In-House (18:26)</li>
 <li>Business Process Abstraction and SaaS Adoption (21:31)</li>
 <li>Enterprise Software: Art of the Possible vs. Practicality (24:31)</li>
 <li>Sales Advice: Focus on Customer Needs (27:11)</li>
 <li>Forward Deployed Engineers and Delivery Models (29:05)</li>
 <li>Platform Lock-In: When Is It a Dirty Word? (36:41)</li>
 <li>Legacy Systems and the Reality of Lock-In (39:53)</li>
 <li>Final Thoughts and Takeaways (40:55)</li>
</ul>
<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p>
<p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com" rel="noopener noreferrer">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 11 Mar 2026 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. This week on <i>The Data Stack Show</i>, John and Matt bring you another edition of the Cynical Data Guy. John and Matt dive into the evolution of customer data infrastructure, the growing influence of low-code tools like Clay, and the blurred lines around the “engineer” title in modern data roles. They also discuss the trade-offs between SaaS adoption and building custom solutions, the pitfalls of enterprise software buying, and the realities of platform lock-in—using Palantir’s unique business model as a case study. Key takeaways include the importance of simplicity and scalability in data engineering, the need for clear requirements when evaluating tools, and a healthy skepticism toward sales pitches and “art of the possible” features. Don’t miss this month’s Cynical Data Guy. </p>
<p>Highlights from this week’s conversation include:</p>
<ul>
 <li>Reacting to the Rise of the GTM Engineer (1:11)</li>
 <li>Is "Engineer" the Right Term? (4:49)</li>
 <li>Low-Code Tools, AI, and Future Workflows (7:14)</li>
 <li>Simplicity in Data Engineering (14:38)</li>
 <li>The Pitfalls of "Simple" Solutions (15:18)</li>
 <li>Choosing SaaS vs. Building In-House (18:26)</li>
 <li>Business Process Abstraction and SaaS Adoption (21:31)</li>
 <li>Enterprise Software: Art of the Possible vs. Practicality (24:31)</li>
 <li>Sales Advice: Focus on Customer Needs (27:11)</li>
 <li>Forward Deployed Engineers and Delivery Models (29:05)</li>
 <li>Platform Lock-In: When Is It a Dirty Word? (36:41)</li>
 <li>Legacy Systems and the Reality of Lock-In (39:53)</li>
 <li>Final Thoughts and Takeaways (40:55)</li>
</ul>
<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p>
<p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com" rel="noopener noreferrer">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:summary>This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. This week on The Data Stack Show, John and Matt bring you another edition of the Cynical Data Guy. John and Matt dive into the evolution of customer data infrastructure, the growing influence of low-code tools like Clay, and the blurred lines around the “engineer” title in modern data roles. They also discuss the trade-offs between SaaS adoption and building custom solutions, the pitfalls of enterprise software buying, and the realities of platform lock-in—using Palantir’s unique business model as a case study. Key takeaways include the importance of simplicity and scalability in data engineering, the need for clear requirements when evaluating tools, and a healthy skepticism toward sales pitches and “art of the possible” features. Don’t miss this month’s Cynical Data Guy. </itunes:summary>
      <itunes:subtitle>This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. This week on The Data Stack Show, John and Matt bring you another edition of the Cynical Data Guy. John and Matt dive into the evolution of customer data infrastructure, the growing influence of low-code tools like Clay, and the blurred lines around the “engineer” title in modern data roles. They also discuss the trade-offs between SaaS adoption and building custom solutions, the pitfalls of enterprise software buying, and the realities of platform lock-in—using Palantir’s unique business model as a case study. Key takeaways include the importance of simplicity and scalability in data engineering, the need for clear requirements when evaluating tools, and a healthy skepticism toward sales pitches and “art of the possible” features. Don’t miss this month’s Cynical Data Guy. </itunes:subtitle>
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      <description><![CDATA[<p>This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.</p><p>This week on <i>The Data Stack Show</i>, John welcomes back repeat-guest Ben Rogojan, Owner and Data Consultant of Seattle Data Guy. John and Ben discuss the evolving relationship between data teams and businesses, highlighting the challenges of proving value in a cost-conscious environment. Ben explores the impact of technological advancements, the rise of AI, and the critical skills data professionals need to succeed. Key insights include the importance of understanding business context, being proactive, and focusing on delivering tangible outcomes rather than just producing dashboards. Ben also emphasizes the need for data teams to communicate value effectively, show rather than tell, and be willing to take calculated risks. The conversation provides practical advice for data professionals looking to advance their careers, with a focus on developing business skills, understanding organizational needs, creating meaningful impact beyond technical expertise, and so much more. </p><ul><li>Technical Freelancer Academy & Consulting Community (1:21)</li><li>Evolution of Data Teams and Technology (2:52)</li><li>Data Team Growth and Output vs. Outcome (4:47)</li><li>Internal Optimization vs. Client-Facing Data Work (7:23)</li><li>Audience, Delivery Mechanisms, and Actionability (12:40)</li><li>Proving ROI and Prioritizing Work (15:27)</li><li>Practical Tips for Data Team-Business Alignment (18:31)</li><li>Dealing with Vanity and Security Blanket Metrics (23:39)</li><li>AI’s Impact on Data Workflows (27:07)</li><li>BI Tools, AI Integration, and Dashboards (32:25)</li><li>Top Skills for Data Professionals (37:27)</li><li>Career Growth: Technical, Communication, and Business Skills (42:02)</li><li>Show, Don’t Tell: Prototyping and Feedback (44:37)</li><li>Taking Initiative and Risk in Data Roles (50:21)</li><li>Parting Advice and Closing Thoughts (51:16)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 11 Feb 2026 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.</p><p>This week on <i>The Data Stack Show</i>, John welcomes back repeat-guest Ben Rogojan, Owner and Data Consultant of Seattle Data Guy. John and Ben discuss the evolving relationship between data teams and businesses, highlighting the challenges of proving value in a cost-conscious environment. Ben explores the impact of technological advancements, the rise of AI, and the critical skills data professionals need to succeed. Key insights include the importance of understanding business context, being proactive, and focusing on delivering tangible outcomes rather than just producing dashboards. Ben also emphasizes the need for data teams to communicate value effectively, show rather than tell, and be willing to take calculated risks. The conversation provides practical advice for data professionals looking to advance their careers, with a focus on developing business skills, understanding organizational needs, creating meaningful impact beyond technical expertise, and so much more. </p><ul><li>Technical Freelancer Academy & Consulting Community (1:21)</li><li>Evolution of Data Teams and Technology (2:52)</li><li>Data Team Growth and Output vs. Outcome (4:47)</li><li>Internal Optimization vs. Client-Facing Data Work (7:23)</li><li>Audience, Delivery Mechanisms, and Actionability (12:40)</li><li>Proving ROI and Prioritizing Work (15:27)</li><li>Practical Tips for Data Team-Business Alignment (18:31)</li><li>Dealing with Vanity and Security Blanket Metrics (23:39)</li><li>AI’s Impact on Data Workflows (27:07)</li><li>BI Tools, AI Integration, and Dashboards (32:25)</li><li>Top Skills for Data Professionals (37:27)</li><li>Career Growth: Technical, Communication, and Business Skills (42:02)</li><li>Show, Don’t Tell: Prototyping and Feedback (44:37)</li><li>Taking Initiative and Risk in Data Roles (50:21)</li><li>Parting Advice and Closing Thoughts (51:16)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Re-Air: Data Teams at the Crossroads: Proving Value in a Changing Business Landscape with Ben Rogojan</itunes:title>
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      <itunes:summary>This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, John welcomes back repeat-guest Ben Rogojan, Owner and Data Consultant of Seattle Data Guy. John and Ben discuss the evolving relationship between data teams and businesses, highlighting the challenges of proving value in a cost-conscious environment. Ben explores the impact of technological advancements, the rise of AI, and the critical skills data professionals need to succeed. Key insights include the importance of understanding business context, being proactive, and focusing on delivering tangible outcomes rather than just producing dashboards. Ben also emphasizes the need for data teams to communicate value effectively, show rather than tell, and be willing to take calculated risks. The conversation provides practical advice for data professionals looking to advance their careers, with a focus on developing business skills, understanding organizational needs, creating meaningful impact beyond technical expertise, and so much more. </itunes:summary>
      <itunes:subtitle>This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, John welcomes back repeat-guest Ben Rogojan, Owner and Data Consultant of Seattle Data Guy. John and Ben discuss the evolving relationship between data teams and businesses, highlighting the challenges of proving value in a cost-conscious environment. Ben explores the impact of technological advancements, the rise of AI, and the critical skills data professionals need to succeed. Key insights include the importance of understanding business context, being proactive, and focusing on delivering tangible outcomes rather than just producing dashboards. Ben also emphasizes the need for data teams to communicate value effectively, show rather than tell, and be willing to take calculated risks. The conversation provides practical advice for data professionals looking to advance their careers, with a focus on developing business skills, understanding organizational needs, creating meaningful impact beyond technical expertise, and so much more. </itunes:subtitle>
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      <title>Re-Air: From Anxiety to Advantage: Navigating Data’s AI Revolution with Barry McCardel of Hex</title>
      <description><![CDATA[<p>This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.</p><p><br />This week on <i>The Data Stack Show</i>, Barry McCardel, CEO and Co-Founder of Hex, joins Eric Dodds and John Wessel to discuss the transformative impact of AI on data teams and the broader data industry. The conversation explores how AI is reshaping workflows, team structures, and the very definition of data roles, while also addressing the anxieties and opportunities that come with rapid change. Barry shares Hex’s journey from having a dedicated AI team to fully integrating AI across the product, and offers insights on industry consolidation, the infinite demand for data insights, and the importance of embracing change. Key takeaways include the need for data professionals to adapt and focus on problem-solving, the growing value of context and curation, the competitive advantage for organizations that leverage AI-driven tools and foster a culture of innovation, and so much more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Welcoming Back Barry to The Show (1:07)</li><li>Discussing Change, Uncertainty, And Anxiety In Data Roles (3:13)</li><li>Exploring Excitement And Opportunity In AI Adoption (6:20)</li><li>Redefining Data Roles And The Infinite Demand For Insight (9:37)</li><li>The Impact Of AI On Data Workflows And Team Mindset (12:52)</li><li>Evolving Team Structures And The End Of The Magic Team (16:49)</li><li>Integrating AI Into Product Development At Hex (20:44)</li><li>Comparing Industry Approaches To AI Features (24:56)</li><li>How AI Changes Daily Workflows For Data Teams (28:52)</li><li>The Virtuous Cycle Of Context, Curation, And Self-Serve (32:39)</li><li>Managing Context And Evaluating AI Agent Performance (36:52)</li><li>The Expanding Role Of Data Professionals In The AI Era (40:45)</li><li>Industry Consolidation And The Modern Data Stack (44:32)</li><li>Lessons From Acquisitions And Platform Shifts (48:18)</li><li>Key Takeaways And Looking Ahead To Future Episodes (52:16)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><p><br /> </p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 14 Jan 2026 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.</p><p><br />This week on <i>The Data Stack Show</i>, Barry McCardel, CEO and Co-Founder of Hex, joins Eric Dodds and John Wessel to discuss the transformative impact of AI on data teams and the broader data industry. The conversation explores how AI is reshaping workflows, team structures, and the very definition of data roles, while also addressing the anxieties and opportunities that come with rapid change. Barry shares Hex’s journey from having a dedicated AI team to fully integrating AI across the product, and offers insights on industry consolidation, the infinite demand for data insights, and the importance of embracing change. Key takeaways include the need for data professionals to adapt and focus on problem-solving, the growing value of context and curation, the competitive advantage for organizations that leverage AI-driven tools and foster a culture of innovation, and so much more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Welcoming Back Barry to The Show (1:07)</li><li>Discussing Change, Uncertainty, And Anxiety In Data Roles (3:13)</li><li>Exploring Excitement And Opportunity In AI Adoption (6:20)</li><li>Redefining Data Roles And The Infinite Demand For Insight (9:37)</li><li>The Impact Of AI On Data Workflows And Team Mindset (12:52)</li><li>Evolving Team Structures And The End Of The Magic Team (16:49)</li><li>Integrating AI Into Product Development At Hex (20:44)</li><li>Comparing Industry Approaches To AI Features (24:56)</li><li>How AI Changes Daily Workflows For Data Teams (28:52)</li><li>The Virtuous Cycle Of Context, Curation, And Self-Serve (32:39)</li><li>Managing Context And Evaluating AI Agent Performance (36:52)</li><li>The Expanding Role Of Data Professionals In The AI Era (40:45)</li><li>Industry Consolidation And The Modern Data Stack (44:32)</li><li>Lessons From Acquisitions And Platform Shifts (48:18)</li><li>Key Takeaways And Looking Ahead To Future Episodes (52:16)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><p><br /> </p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Re-Air: From Anxiety to Advantage: Navigating Data’s AI Revolution with Barry McCardel of Hex</itunes:title>
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      <itunes:summary>This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, Barry McCardel, CEO and Co-Founder of Hex, joins Eric Dodds and John Wessel to discuss the transformative impact of AI on data teams and the broader data industry. The conversation explores how AI is reshaping workflows, team structures, and the very definition of data roles, while also addressing the anxieties and opportunities that come with rapid change. Barry shares Hex’s journey from having a dedicated AI team to fully integrating AI across the product, and offers insights on industry consolidation, the infinite demand for data insights, and the importance of embracing change. Key takeaways include the need for data professionals to adapt and focus on problem-solving, the growing value of context and curation, the competitive advantage for organizations that leverage AI-driven tools and foster a culture of innovation, and so much more.</itunes:summary>
      <itunes:subtitle>This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, Barry McCardel, CEO and Co-Founder of Hex, joins Eric Dodds and John Wessel to discuss the transformative impact of AI on data teams and the broader data industry. The conversation explores how AI is reshaping workflows, team structures, and the very definition of data roles, while also addressing the anxieties and opportunities that come with rapid change. Barry shares Hex’s journey from having a dedicated AI team to fully integrating AI across the product, and offers insights on industry consolidation, the infinite demand for data insights, and the importance of embracing change. Key takeaways include the need for data professionals to adapt and focus on problem-solving, the growing value of context and curation, the competitive advantage for organizations that leverage AI-driven tools and foster a culture of innovation, and so much more.</itunes:subtitle>
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      <pubDate>Wed, 3 Dec 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.</p><p>This week on <i>The Data Stack Show</i>, John and Matt dive into the latest trends in AI, discussing the evolution of GPT models, the role of tools in reducing hallucinations, and the ongoing debate between data warehouses and agent-based approaches. They also explore the complexities of risk-taking in data teams, drawing lessons from Nate Silver’s book on risk and sharing real-world analogies from cybersecurity, football, and political campaigns. Key takeaways include the importance of balancing innovation with practical risk management, the need for clear recommendations from data professionals, the value of reading fiction to understand human behavior in data, and so much more.</p><p>Highlights from this week’s conversation include:</p><ul><li>Initial Impressions of GPT-5 (1:41)</li><li>AI Hallucinations and the Open-Source GPT Model (4:06)</li><li>Tools and Determinism in AI Agents (6:00)</li><li>Risks of Tool Reliance in AI (8:05)</li><li>The Next Big Data Fight: Warehouses vs. Agents (10:21)</li><li>Real-Time Data Processing Limitations (12:56)</li><li>Risk in Data and AI: Book Recommendation (17:08)</li><li>Measurable vs. Perceived Risk in Business (20:10)</li><li>Security Trade-Offs and Organizational Impact (22:31)</li><li>The Quest for Certainty and Wicked Learning Environments (27:37)</li><li>Poker, Process, and Data Team Longevity (29:11)</li><li>Support Roles and Limits of Data Teams (32:56)</li><li>Final Thoughts and Takeaways (34:20)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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This week on The Data Stack Show, John and Matt dive into the latest trends in AI, discussing the evolution of GPT models, the role of tools in reducing hallucinations, and the ongoing debate between data warehouses and agent-based approaches. They also explore the complexities of risk-taking in data teams, drawing lessons from Nate Silver’s book on risk and sharing real-world analogies from cybersecurity, football, and political campaigns. Key takeaways include the importance of balancing innovation with practical risk management, the need for clear recommendations from data professionals, the value of reading fiction to understand human behavior in data, and so much more.</itunes:subtitle>
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      <description><![CDATA[<p>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. </p><p>This week on The Data Stack Show, John and Matt welcome Pedram Navid, Chief Dashboard Officer at Dagster Labs. During the conversation, Pedram shares his career evolution from consulting to his current role, where he oversees data, developer relations (DevRel), and marketing. The discussion delves into the synergies between DevRel and marketing, emphasizing the importance of understanding developers' learning preferences. Pedram explains data orchestration, highlighting its role in managing and automating data workflows. He also discusses Daxter's unique asset-based approach, which enhances visibility and control over data processes, catering to users from novices to experts, and so much more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Pedram’s Background and Journey in Data (0:47)</li><li>Joining Dagster Labs (1:41)</li><li>Synergies Between Teams (2:56)</li><li>Developer Marketing Preferences (6:06)</li><li>Bridging Technical Gaps (9:54)</li><li>Understanding Data Orchestration (11:05)</li><li>Dagster's Unique Features (16:07)</li><li>The Future of Orchestration (18:09)</li><li>Freeing Up Team Resources (20:30)</li><li>Market Readiness of the Modern Data Stack (22:20)</li><li>Career Journey into DevRel and Marketing (26:09)</li><li>Understanding Technical Audiences (29:33)</li><li>Building Trust Through Open Source (31:36)</li><li>Understanding Vendor Lock-In (34:40)</li><li>AI and Data Orchestration (36:11)</li><li>Modern Data Stack Evolution (39:09)</li><li>The Cost of AI Services (41:58)</li><li>Differentiation Through Integration (44:13)</li><li>Language and Frameworks in Orchestration (49:45)</li><li>Future of Orchestration and Closing Thoughts (51:54)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 26 Nov 2025 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. </p><p>This week on The Data Stack Show, John and Matt welcome Pedram Navid, Chief Dashboard Officer at Dagster Labs. During the conversation, Pedram shares his career evolution from consulting to his current role, where he oversees data, developer relations (DevRel), and marketing. The discussion delves into the synergies between DevRel and marketing, emphasizing the importance of understanding developers' learning preferences. Pedram explains data orchestration, highlighting its role in managing and automating data workflows. He also discusses Daxter's unique asset-based approach, which enhances visibility and control over data processes, catering to users from novices to experts, and so much more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Pedram’s Background and Journey in Data (0:47)</li><li>Joining Dagster Labs (1:41)</li><li>Synergies Between Teams (2:56)</li><li>Developer Marketing Preferences (6:06)</li><li>Bridging Technical Gaps (9:54)</li><li>Understanding Data Orchestration (11:05)</li><li>Dagster's Unique Features (16:07)</li><li>The Future of Orchestration (18:09)</li><li>Freeing Up Team Resources (20:30)</li><li>Market Readiness of the Modern Data Stack (22:20)</li><li>Career Journey into DevRel and Marketing (26:09)</li><li>Understanding Technical Audiences (29:33)</li><li>Building Trust Through Open Source (31:36)</li><li>Understanding Vendor Lock-In (34:40)</li><li>AI and Data Orchestration (36:11)</li><li>Modern Data Stack Evolution (39:09)</li><li>The Cost of AI Services (41:58)</li><li>Differentiation Through Integration (44:13)</li><li>Language and Frameworks in Orchestration (49:45)</li><li>Future of Orchestration and Closing Thoughts (51:54)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:subtitle>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, John and Matt welcome Pedram Navid, Chief Dashboard Officer at Dagster Labs. During the conversation, Pedram shares his career evolution from consulting to his current role, where he oversees data, developer relations (DevRel), and marketing. The discussion delves into the synergies between DevRel and marketing, emphasizing the importance of understanding developers&apos; learning preferences. Pedram explains data orchestration, highlighting its role in managing and automating data workflows. He also discusses Daxter&apos;s unique asset-based approach, which enhances visibility and control over data processes, catering to users from novices to experts, and so much more. </itunes:subtitle>
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      <pubDate>Wed, 19 Nov 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, John chats with Paul Blankley, Founder and CTO of Zenlytic, live from Denver! Paul and John discuss the rapid evolution of AI in business intelligence, highlighting how AI is transforming data analysis and decision-making. Paul also explores the potential of AI as an "employee" that can handle complex analytical tasks, from unstructured data processing to proactive monitoring. Key insights include the increasing capabilities of AI in symbolic tasks like coding, the importance of providing business context to AI models, and the future of BI tools that can flexibly interact with both structured and unstructured data. Paul emphasizes that the next generation of AI tools will move beyond traditional dashboards, offering more intelligent, context-aware insights that can help businesses make more informed decisions. It’s an exciting conversation you won’t want to miss.</p><p>Highlights from this week’s conversation include:</p><ul><li>Welcoming Paul Back and Industry Changes (1:03)</li><li>AI Model Progress and Superhuman Domains (2:01)</li><li>AI as an Employee: Context and Capabilities (4:04)</li><li>Model Selection and User Experience (7:37)</li><li>AI as a McKinsey Consultant: Decision-Making (10:18)</li><li>Structured vs. Unstructured Data Platforms (12:55)</li><li>MCP Servers and the Future of BI Interfaces (16:00)</li><li>Value of UI and Multimodal BI Experiences (18:38)</li><li>Pitfalls of DIY Data Pipelines and Governance (22:14)</li><li>Text-to-SQL, Semantic Layers, and Trust (28:10)</li><li>Democratizing Semantic Models and Personalization (33:22)</li><li>Inefficiency in Analytics and Analyst Workflows (35:07)</li><li>Reasoning and Intelligence in Monitoring (37:20)</li><li>Roadmap: Proactive AI by 2026 (39:53)</li><li>Limitations of BI Incumbents, Future Outlooks and Parting Thoughts (41:15)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Re-Air: Context is King: Building Intelligent AI Analytics Platforms with Paul Blankley of Zenlytic</itunes:title>
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      <itunes:summary>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, John chats with Paul Blankley, Founder and CTO of Zenlytic, live from Denver! Paul and John discuss the rapid evolution of AI in business intelligence, highlighting how AI is transforming data analysis and decision-making. Paul also explores the potential of AI as an &quot;employee&quot; that can handle complex analytical tasks, from unstructured data processing to proactive monitoring. Key insights include the increasing capabilities of AI in symbolic tasks like coding, the importance of providing business context to AI models, and the future of BI tools that can flexibly interact with both structured and unstructured data. Paul emphasizes that the next generation of AI tools will move beyond traditional dashboards, offering more intelligent, context-aware insights that can help businesses make more informed decisions. It’s an exciting conversation you won’t want to miss.</itunes:summary>
      <itunes:subtitle>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, John chats with Paul Blankley, Founder and CTO of Zenlytic, live from Denver! Paul and John discuss the rapid evolution of AI in business intelligence, highlighting how AI is transforming data analysis and decision-making. Paul also explores the potential of AI as an &quot;employee&quot; that can handle complex analytical tasks, from unstructured data processing to proactive monitoring. Key insights include the increasing capabilities of AI in symbolic tasks like coding, the importance of providing business context to AI models, and the future of BI tools that can flexibly interact with both structured and unstructured data. Paul emphasizes that the next generation of AI tools will move beyond traditional dashboards, offering more intelligent, context-aware insights that can help businesses make more informed decisions. It’s an exciting conversation you won’t want to miss.</itunes:subtitle>
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      <pubDate>Wed, 12 Nov 2025 09:30:00 +0000</pubDate>
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      <title>Re-Air: From PDFs to BI and Beyond: The Future of the Data Frontend with Ryan Dolley of GoodData</title>
      <description><![CDATA[<p>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, Ryan Dolley joins Eric and John to discuss his unique journey from playwriting to leading product strategy in the data industry. The conversation explores the evolution of business intelligence (BI), the growing influence of AI on analytics, and the shifting skill sets required for data professionals. Key topics include the challenges of adapting to rapid technological change, the importance of embracing engineering practices in BI, and the need for continuous learning. Listeners will gain insights into how AI is transforming data roles, why storytelling remains central to analytics, practical advice for thriving in a fast-changing industry, and so much more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Ryan’s Journey: From Playwriting to Data (1:05)</li><li>Making a Living as a Playwright (3:02)</li><li>Transitioning to BI: Night School and First Data Jobs (4:12)</li><li>Storytelling and Data: The Art of BI (6:22)</li><li>Early BI Work: Data Warehouses and PDF Reports (8:33)</li><li>Moving from Utilities to Consulting (13:03)</li><li>Building vs. Implementing: Product Strategy Lessons (16:37)</li><li>The AI Shift in BI and Analytics (18:41)</li><li>Automation Anxiety: The Human Side of Data Change (22:16)</li><li>The Evolving Role of BI Experts (25:18)</li><li>Adapting to Change: Learning Code and Experimentation (29:34)</li><li>AI and the Future of Embedded Analytics (33:38)</li><li>Capturing Intent: The Value of Modern BI Interfaces (37:03)</li><li>Bridging the Data and Software Engineering Gap (39:13)</li><li>The Historical Divide: Data vs. Software Engineering (43:06)</li><li>Organizational Challenges: Where Does BI Belong? (46:05)</li><li>Reflections on Self-Service BI and Value (48:46)</li><li>If Not Data: Ryan’s Alternate Career Paths (49:04)</li><li>Final Thoughts and Takeaways (50:17)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 5 Nov 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, Ryan Dolley joins Eric and John to discuss his unique journey from playwriting to leading product strategy in the data industry. The conversation explores the evolution of business intelligence (BI), the growing influence of AI on analytics, and the shifting skill sets required for data professionals. Key topics include the challenges of adapting to rapid technological change, the importance of embracing engineering practices in BI, and the need for continuous learning. Listeners will gain insights into how AI is transforming data roles, why storytelling remains central to analytics, practical advice for thriving in a fast-changing industry, and so much more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Ryan’s Journey: From Playwriting to Data (1:05)</li><li>Making a Living as a Playwright (3:02)</li><li>Transitioning to BI: Night School and First Data Jobs (4:12)</li><li>Storytelling and Data: The Art of BI (6:22)</li><li>Early BI Work: Data Warehouses and PDF Reports (8:33)</li><li>Moving from Utilities to Consulting (13:03)</li><li>Building vs. Implementing: Product Strategy Lessons (16:37)</li><li>The AI Shift in BI and Analytics (18:41)</li><li>Automation Anxiety: The Human Side of Data Change (22:16)</li><li>The Evolving Role of BI Experts (25:18)</li><li>Adapting to Change: Learning Code and Experimentation (29:34)</li><li>AI and the Future of Embedded Analytics (33:38)</li><li>Capturing Intent: The Value of Modern BI Interfaces (37:03)</li><li>Bridging the Data and Software Engineering Gap (39:13)</li><li>The Historical Divide: Data vs. Software Engineering (43:06)</li><li>Organizational Challenges: Where Does BI Belong? (46:05)</li><li>Reflections on Self-Service BI and Value (48:46)</li><li>If Not Data: Ryan’s Alternate Career Paths (49:04)</li><li>Final Thoughts and Takeaways (50:17)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Re-Air: From PDFs to BI and Beyond: The Future of the Data Frontend with Ryan Dolley of GoodData</itunes:title>
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      <itunes:summary>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, Ryan Dolley joins Eric and John to discuss his unique journey from playwriting to leading product strategy in the data industry. The conversation explores the evolution of business intelligence (BI), the growing influence of AI on analytics, and the shifting skill sets required for data professionals. Key topics include the challenges of adapting to rapid technological change, the importance of embracing engineering practices in BI, and the need for continuous learning. Listeners will gain insights into how AI is transforming data roles, why storytelling remains central to analytics, practical advice for thriving in a fast-changing industry, and so much more. </itunes:summary>
      <itunes:subtitle>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, Ryan Dolley joins Eric and John to discuss his unique journey from playwriting to leading product strategy in the data industry. The conversation explores the evolution of business intelligence (BI), the growing influence of AI on analytics, and the shifting skill sets required for data professionals. Key topics include the challenges of adapting to rapid technological change, the importance of embracing engineering practices in BI, and the need for continuous learning. Listeners will gain insights into how AI is transforming data roles, why storytelling remains central to analytics, practical advice for thriving in a fast-changing industry, and so much more. </itunes:subtitle>
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      <title>Re-Air: The Data Economy: Turning Information into a Tradable Commodity with Viktor Kessler of Vakamo</title>
      <description><![CDATA[<p>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. <br /><br />This week on The Data Stack Show, the crew brings you another conversation live from Data Council in Oakland, California. In this episode, Viktor Kessler from Vakamo explores the evolution of data architecture from rigid warehouses to flexible Lakehouse systems. Powered by Apache Iceberg, this new approach enables seamless data sharing, governance, and potential monetization. Viktor discusses how open-source innovation is transforming data management, highlighting the shift towards treating data as a product and the emerging potential for AI-driven data exchanges. The conversation provides insights into the future of decentralized, adaptable data infrastructure and so much more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Viktor's Background and Journey in Data (1:20)</li><li>Evolution of Data Architecture (4:41)</li><li>The Lakehouse Concept (7:12)</li><li>Open Source Innovation (11:05)</li><li>Data Production and Decentralization (15:06)</li><li>Governance in Decentralized Systems (18:53)</li><li>Data Economy and Monetization (21:15)</li><li>Security Concerns in Data Processing (24:21)</li><li>Impact on Data Consumers (27:37)</li><li>Compaction Issues in Data Tables (29:39)</li><li>Open Source Lake Keeper Tool and Parting Thoughts (33:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 29 Oct 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. <br /><br />This week on The Data Stack Show, the crew brings you another conversation live from Data Council in Oakland, California. In this episode, Viktor Kessler from Vakamo explores the evolution of data architecture from rigid warehouses to flexible Lakehouse systems. Powered by Apache Iceberg, this new approach enables seamless data sharing, governance, and potential monetization. Viktor discusses how open-source innovation is transforming data management, highlighting the shift towards treating data as a product and the emerging potential for AI-driven data exchanges. The conversation provides insights into the future of decentralized, adaptable data infrastructure and so much more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Viktor's Background and Journey in Data (1:20)</li><li>Evolution of Data Architecture (4:41)</li><li>The Lakehouse Concept (7:12)</li><li>Open Source Innovation (11:05)</li><li>Data Production and Decentralization (15:06)</li><li>Governance in Decentralized Systems (18:53)</li><li>Data Economy and Monetization (21:15)</li><li>Security Concerns in Data Processing (24:21)</li><li>Impact on Data Consumers (27:37)</li><li>Compaction Issues in Data Tables (29:39)</li><li>Open Source Lake Keeper Tool and Parting Thoughts (33:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Re-Air: The Data Economy: Turning Information into a Tradable Commodity with Viktor Kessler of Vakamo</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:duration>00:34:21</itunes:duration>
      <itunes:summary>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, the crew brings you another conversation live from Data Council in Oakland, California. In this episode, Viktor Kessler from Vakamo explores the evolution of data architecture from rigid warehouses to flexible Lakehouse systems. Powered by Apache Iceberg, this new approach enables seamless data sharing, governance, and potential monetization. Viktor discusses how open-source innovation is transforming data management, highlighting the shift towards treating data as a product and the emerging potential for AI-driven data exchanges. The conversation provides insights into the future of decentralized, adaptable data infrastructure and so much more. </itunes:summary>
      <itunes:subtitle>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com. This week on The Data Stack Show, the crew brings you another conversation live from Data Council in Oakland, California. In this episode, Viktor Kessler from Vakamo explores the evolution of data architecture from rigid warehouses to flexible Lakehouse systems. Powered by Apache Iceberg, this new approach enables seamless data sharing, governance, and potential monetization. Viktor discusses how open-source innovation is transforming data management, highlighting the shift towards treating data as a product and the emerging potential for AI-driven data exchanges. The conversation provides insights into the future of decentralized, adaptable data infrastructure and so much more. </itunes:subtitle>
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      <title>Re-Air: The Future of AI: Superhuman Intelligence, Autonomous Coding, and the Path to AGI with Misha Laskin of ReflectionAI</title>
      <description><![CDATA[<p>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.</p><p>This week on The Data Stack Show, Eric and John welcome Misha Laskin, Co-Founder and CEO of ReflectionAI. Misha shares his journey from theoretical physics to AI, detailing his experiences at DeepMind. The discussion covers the development of AI technologies, the concepts of artificial general intelligence (AGI) and superhuman intelligence, and their implications for knowledge work. Misha emphasizes the importance of robust evaluation frameworks and the potential of AI to augment human capabilities. The conversation also touches on autonomous coding, geofencing in AI tasks, the future of human-AI collaboration, and more. <br /><br />Highlights from this week’s conversation include:</p><ul><li>Misha's Background and Journey in AI (1:13)</li><li>Childhood Interest in Physics (4:43)</li><li>Future of AI and Human Interaction (7:09)</li><li>AI's Transformative Nature (10:12)</li><li>Superhuman Intelligence in AI (12:44)</li><li>Clarifying AGI and Superhuman Intelligence (15:48)</li><li>Understanding AGI (18:12)</li><li>Counterintuitive Intelligence (22:06)</li><li>Reflection's Mission (25:00)</li><li>Focus on Autonomous Coding (29:18)</li><li>Future of Automation (34:00)</li><li>Geofencing in Coding (38:01)</li><li>Challenges of Autonomous Coding (40:46)</li><li>Evaluations in AI Projects (43:27)</li><li>Example of Evaluation Metrics (46:52)</li><li>Starting with AI Tools and Final Takeaways (50:35)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 22 Oct 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.</p><p>This week on The Data Stack Show, Eric and John welcome Misha Laskin, Co-Founder and CEO of ReflectionAI. Misha shares his journey from theoretical physics to AI, detailing his experiences at DeepMind. The discussion covers the development of AI technologies, the concepts of artificial general intelligence (AGI) and superhuman intelligence, and their implications for knowledge work. Misha emphasizes the importance of robust evaluation frameworks and the potential of AI to augment human capabilities. The conversation also touches on autonomous coding, geofencing in AI tasks, the future of human-AI collaboration, and more. <br /><br />Highlights from this week’s conversation include:</p><ul><li>Misha's Background and Journey in AI (1:13)</li><li>Childhood Interest in Physics (4:43)</li><li>Future of AI and Human Interaction (7:09)</li><li>AI's Transformative Nature (10:12)</li><li>Superhuman Intelligence in AI (12:44)</li><li>Clarifying AGI and Superhuman Intelligence (15:48)</li><li>Understanding AGI (18:12)</li><li>Counterintuitive Intelligence (22:06)</li><li>Reflection's Mission (25:00)</li><li>Focus on Autonomous Coding (29:18)</li><li>Future of Automation (34:00)</li><li>Geofencing in Coding (38:01)</li><li>Challenges of Autonomous Coding (40:46)</li><li>Evaluations in AI Projects (43:27)</li><li>Example of Evaluation Metrics (46:52)</li><li>Starting with AI Tools and Final Takeaways (50:35)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Re-Air: The Future of AI: Superhuman Intelligence, Autonomous Coding, and the Path to AGI with Misha Laskin of ReflectionAI</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:duration>00:52:43</itunes:duration>
      <itunes:summary>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.

This week on The Data Stack Show, Eric and John welcome Misha Laskin, Co-Founder and CEO of ReflectionAI. Misha shares his journey from theoretical physics to AI, detailing his experiences at DeepMind. The discussion covers the development of AI technologies, the concepts of artificial general intelligence (AGI) and superhuman intelligence, and their implications for knowledge work. Misha emphasizes the importance of robust evaluation frameworks and the potential of AI to augment human capabilities. The conversation also touches on autonomous coding, geofencing in AI tasks, the future of human-AI collaboration, and more. </itunes:summary>
      <itunes:subtitle>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.

This week on The Data Stack Show, Eric and John welcome Misha Laskin, Co-Founder and CEO of ReflectionAI. Misha shares his journey from theoretical physics to AI, detailing his experiences at DeepMind. The discussion covers the development of AI technologies, the concepts of artificial general intelligence (AGI) and superhuman intelligence, and their implications for knowledge work. Misha emphasizes the importance of robust evaluation frameworks and the potential of AI to augment human capabilities. The conversation also touches on autonomous coding, geofencing in AI tasks, the future of human-AI collaboration, and more. </itunes:subtitle>
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      <title>Re-Air: Ringing Out the Old: AI&apos;s Role in Redefining Data Teams, Tools, and Business Models</title>
      <description><![CDATA[<p>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.</p><p>This week on The Data Stack Show, Eric and John explore the transformative impact of artificial intelligence (AI) on technology and business. They discuss AI's rapid advancements, drawing parallels to historical shifts like e-commerce. The conversation explores the future of roles within companies, particularly in data management and SaaS products, and considers the broader implications for business operations. They also touch on the changing landscape of data roles, the accessibility of AI-driven services, the potential for AI to democratize high-value services and reshape industries, and more. </p><p>Highlights from this week’s conversation include:</p><ul><li>The Impact of AI (1:25)</li><li>Historical Context of Technology (2:31)</li><li>Pre-existing Infrastructure for Change (4:42)</li><li>AI as a Personal Assistant (7:10)</li><li>Future of Company Roles (9:13)</li><li>Managing Teams in a Dystopian AI Future (12:31)</li><li>Business Architecture Choices (15:52)</li><li>Integration Tool Usage (18:07)</li><li>AI's Impact on Data Roles (21:53)</li><li>AI as an Interface (24:04)</li><li>Trust in AI vs. SQL (27:12)</li><li>Snowflake's Acquisition of Dataflow (29:54)</li><li>Regression to the Mean Concept (33:49)</li><li>AI's Role in Data Platforms (37:04)</li><li>User Experience in Data Tools (44:41)</li><li>Future of Data Tools (46:57)</li><li>Environment Variable Setup (51:10)</li><li>Future of Software Implementation and Parting Thoughts (52:10)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 15 Oct 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.</p><p>This week on The Data Stack Show, Eric and John explore the transformative impact of artificial intelligence (AI) on technology and business. They discuss AI's rapid advancements, drawing parallels to historical shifts like e-commerce. The conversation explores the future of roles within companies, particularly in data management and SaaS products, and considers the broader implications for business operations. They also touch on the changing landscape of data roles, the accessibility of AI-driven services, the potential for AI to democratize high-value services and reshape industries, and more. </p><p>Highlights from this week’s conversation include:</p><ul><li>The Impact of AI (1:25)</li><li>Historical Context of Technology (2:31)</li><li>Pre-existing Infrastructure for Change (4:42)</li><li>AI as a Personal Assistant (7:10)</li><li>Future of Company Roles (9:13)</li><li>Managing Teams in a Dystopian AI Future (12:31)</li><li>Business Architecture Choices (15:52)</li><li>Integration Tool Usage (18:07)</li><li>AI's Impact on Data Roles (21:53)</li><li>AI as an Interface (24:04)</li><li>Trust in AI vs. SQL (27:12)</li><li>Snowflake's Acquisition of Dataflow (29:54)</li><li>Regression to the Mean Concept (33:49)</li><li>AI's Role in Data Platforms (37:04)</li><li>User Experience in Data Tools (44:41)</li><li>Future of Data Tools (46:57)</li><li>Environment Variable Setup (51:10)</li><li>Future of Software Implementation and Parting Thoughts (52:10)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Re-Air: Ringing Out the Old: AI&apos;s Role in Redefining Data Teams, Tools, and Business Models</itunes:title>
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      <itunes:summary>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.

This week on The Data Stack Show, Eric and John explore the transformative impact of artificial intelligence (AI) on technology and business. They discuss AI&apos;s rapid advancements, drawing parallels to historical shifts like e-commerce. The conversation explores the future of roles within companies, particularly in data management and SaaS products, and considers the broader implications for business operations. They also touch on the changing landscape of data roles, the accessibility of AI-driven services, the potential for AI to democratize high-value services and reshape industries, and more. </itunes:summary>
      <itunes:subtitle>This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.

This week on The Data Stack Show, Eric and John explore the transformative impact of artificial intelligence (AI) on technology and business. They discuss AI&apos;s rapid advancements, drawing parallels to historical shifts like e-commerce. The conversation explores the future of roles within companies, particularly in data management and SaaS products, and considers the broader implications for business operations. They also touch on the changing landscape of data roles, the accessibility of AI-driven services, the potential for AI to democratize high-value services and reshape industries, and more. </itunes:subtitle>
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      <title>265: From Anxiety to Advantage: Navigating Data’s AI Revolution with Barry McCardel of Hex</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, Barry McCardel, CEO and Co-Founder of Hex, joins Eric Dodds and John Wessel to discuss the transformative impact of AI on data teams and the broader data industry. The conversation explores how AI is reshaping workflows, team structures, and the very definition of data roles, while also addressing the anxieties and opportunities that come with rapid change. Barry shares Hex’s journey from having a dedicated AI team to fully integrating AI across the product, and offers insights on industry consolidation, the infinite demand for data insights, and the importance of embracing change. Key takeaways include the need for data professionals to adapt and focus on problem-solving, the growing value of context and curation, the competitive advantage for organizations that leverage AI-driven tools and foster a culture of innovation, and so much more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Welcoming Back Barry to The Show (1:07)</li><li>Discussing Change, Uncertainty, And Anxiety In Data Roles (3:13)</li><li>Exploring Excitement And Opportunity In AI Adoption (6:20)</li><li>Redefining Data Roles And The Infinite Demand For Insight (9:37)</li><li>The Impact Of AI On Data Workflows And Team Mindset (12:52)</li><li>Evolving Team Structures And The End Of The Magic Team (16:49)</li><li>Integrating AI Into Product Development At Hex (20:44)</li><li>Comparing Industry Approaches To AI Features (24:56)</li><li>How AI Changes Daily Workflows For Data Teams (28:52)</li><li>The Virtuous Cycle Of Context, Curation, And Self-Serve (32:39)</li><li>Managing Context And Evaluating AI Agent Performance (36:52)</li><li>The Expanding Role Of Data Professionals In The AI Era (40:45)</li><li>Industry Consolidation And The Modern Data Stack (44:32)</li><li>Lessons From Acquisitions And Platform Shifts (48:18)</li><li>Key Takeaways And Looking Ahead To Future Episodes (52:16)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 8 Oct 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, Barry McCardel, CEO and Co-Founder of Hex, joins Eric Dodds and John Wessel to discuss the transformative impact of AI on data teams and the broader data industry. The conversation explores how AI is reshaping workflows, team structures, and the very definition of data roles, while also addressing the anxieties and opportunities that come with rapid change. Barry shares Hex’s journey from having a dedicated AI team to fully integrating AI across the product, and offers insights on industry consolidation, the infinite demand for data insights, and the importance of embracing change. Key takeaways include the need for data professionals to adapt and focus on problem-solving, the growing value of context and curation, the competitive advantage for organizations that leverage AI-driven tools and foster a culture of innovation, and so much more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Welcoming Back Barry to The Show (1:07)</li><li>Discussing Change, Uncertainty, And Anxiety In Data Roles (3:13)</li><li>Exploring Excitement And Opportunity In AI Adoption (6:20)</li><li>Redefining Data Roles And The Infinite Demand For Insight (9:37)</li><li>The Impact Of AI On Data Workflows And Team Mindset (12:52)</li><li>Evolving Team Structures And The End Of The Magic Team (16:49)</li><li>Integrating AI Into Product Development At Hex (20:44)</li><li>Comparing Industry Approaches To AI Features (24:56)</li><li>How AI Changes Daily Workflows For Data Teams (28:52)</li><li>The Virtuous Cycle Of Context, Curation, And Self-Serve (32:39)</li><li>Managing Context And Evaluating AI Agent Performance (36:52)</li><li>The Expanding Role Of Data Professionals In The AI Era (40:45)</li><li>Industry Consolidation And The Modern Data Stack (44:32)</li><li>Lessons From Acquisitions And Platform Shifts (48:18)</li><li>Key Takeaways And Looking Ahead To Future Episodes (52:16)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>265: From Anxiety to Advantage: Navigating Data’s AI Revolution with Barry McCardel of Hex</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Barry McCardel, CEO and Co-Founder of Hex, joins Eric Dodds and John Wessel to discuss the transformative impact of AI on data teams and the broader data industry. The conversation explores how AI is reshaping workflows, team structures, and the very definition of data roles, while also addressing the anxieties and opportunities that come with rapid change. Barry shares Hex’s journey from having a dedicated AI team to fully integrating AI across the product, and offers insights on industry consolidation, the infinite demand for data insights, and the importance of embracing change. Key takeaways include the need for data professionals to adapt and focus on problem-solving, the growing value of context and curation, the competitive advantage for organizations that leverage AI-driven tools and foster a culture of innovation, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Barry McCardel, CEO and Co-Founder of Hex, joins Eric Dodds and John Wessel to discuss the transformative impact of AI on data teams and the broader data industry. The conversation explores how AI is reshaping workflows, team structures, and the very definition of data roles, while also addressing the anxieties and opportunities that come with rapid change. Barry shares Hex’s journey from having a dedicated AI team to fully integrating AI across the product, and offers insights on industry consolidation, the infinite demand for data insights, and the importance of embracing change. Key takeaways include the need for data professionals to adapt and focus on problem-solving, the growing value of context and curation, the competitive advantage for organizations that leverage AI-driven tools and foster a culture of innovation, and so much more. </itunes:subtitle>
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      <title>The PRQL: Redefining Data Roles in an AI World with Barry McCardel of Hex</title>
      <description><![CDATA[<p>In this bonus episode, Eric and John preview their upcoming conversation with Barry McCardel of Hex.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 6 Oct 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>In this bonus episode, Eric and John preview their upcoming conversation with Barry McCardel of Hex.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: Redefining Data Roles in an AI World with Barry McCardel of Hex</itunes:title>
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      <title>264: Infrastructure as Code Meets AI: Simplifying Complexity in the Cloud with Alexander Patrushev of Nebius</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, Alexander Patrushev joins John to share his journey from working on mainframes at IBM to leading AI infrastructure innovation at Nebius, with stops at VMware and AWS along the way. The discussion explores the evolution of AI and cloud infrastructure, the five pillars of successful machine learning projects, and the unique challenges of building and operating modern AI data centers—including energy consumption, cooling, and networking. Alexander also delves into the practicalities of infrastructure as code, the importance of data quality, and offers actionable advice for those looking to break into the AI field. Key takeaways include the need for strong data foundations, thoughtful project selection, and the value of leveraging existing skills and tools to succeed in the rapidly evolving AI landscape. Don’t miss this great conversation.</p><p>Highlights from this week’s conversation include:</p><ul><li>Alexander’s Background and Early Career at IBM (1:06)</li><li>Moving From Mainframes to Virtualization at VMware (4:09)</li><li>Transitioning to AWS and Machine Learning Projects (8:22)</li><li>What Was Missed From Mainframes and the Rise of Public Cloud (9:03)</li><li>Security, Performance, and Economics in Cloud Infrastructure (12:40)</li><li>The Five Pillars of Successful Machine Learning Projects (15:02)</li><li>Choosing the Right ML Project: Data, Impact, and Existing Solutions (18:01)</li><li>Real-World AI and ML Use Cases Across Industries (19:42)</li><li>Building Specialized AI Clouds Versus Hyperscalers (22:08)</li><li>Performance, Scalability, and Reliability in AI Infrastructure (25:18)</li><li>Data Center Energy Consumption and Power Challenges (28:41)</li><li>Cooling, Networking, and Supporting Systems in AI Data Centers (30:06)</li><li>Infrastructure as Code and Tooling in AI (31:50)</li><li>Lowering Complexity for AI Developers and the Role of Abstraction (34:08)</li><li>Startup Opportunities in the AI Stack (38:53)</li><li>When to Fine-Tune or Post-Train Foundation Models (43:41)</li><li>Comparing and Testing Models With Tool Use (47:49)</li><li>Skills and Advice for Entering the AI Field (49:18)</li><li>Final Thoughts and Encouragement for AI Newcomers (52:31)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 1 Oct 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, Alexander Patrushev joins John to share his journey from working on mainframes at IBM to leading AI infrastructure innovation at Nebius, with stops at VMware and AWS along the way. The discussion explores the evolution of AI and cloud infrastructure, the five pillars of successful machine learning projects, and the unique challenges of building and operating modern AI data centers—including energy consumption, cooling, and networking. Alexander also delves into the practicalities of infrastructure as code, the importance of data quality, and offers actionable advice for those looking to break into the AI field. Key takeaways include the need for strong data foundations, thoughtful project selection, and the value of leveraging existing skills and tools to succeed in the rapidly evolving AI landscape. Don’t miss this great conversation.</p><p>Highlights from this week’s conversation include:</p><ul><li>Alexander’s Background and Early Career at IBM (1:06)</li><li>Moving From Mainframes to Virtualization at VMware (4:09)</li><li>Transitioning to AWS and Machine Learning Projects (8:22)</li><li>What Was Missed From Mainframes and the Rise of Public Cloud (9:03)</li><li>Security, Performance, and Economics in Cloud Infrastructure (12:40)</li><li>The Five Pillars of Successful Machine Learning Projects (15:02)</li><li>Choosing the Right ML Project: Data, Impact, and Existing Solutions (18:01)</li><li>Real-World AI and ML Use Cases Across Industries (19:42)</li><li>Building Specialized AI Clouds Versus Hyperscalers (22:08)</li><li>Performance, Scalability, and Reliability in AI Infrastructure (25:18)</li><li>Data Center Energy Consumption and Power Challenges (28:41)</li><li>Cooling, Networking, and Supporting Systems in AI Data Centers (30:06)</li><li>Infrastructure as Code and Tooling in AI (31:50)</li><li>Lowering Complexity for AI Developers and the Role of Abstraction (34:08)</li><li>Startup Opportunities in the AI Stack (38:53)</li><li>When to Fine-Tune or Post-Train Foundation Models (43:41)</li><li>Comparing and Testing Models With Tool Use (47:49)</li><li>Skills and Advice for Entering the AI Field (49:18)</li><li>Final Thoughts and Encouragement for AI Newcomers (52:31)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>264: Infrastructure as Code Meets AI: Simplifying Complexity in the Cloud with Alexander Patrushev of Nebius</itunes:title>
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      <itunes:subtitle>This week on The Data Stack Show, Alexander Patrushev joins John to share his journey from working on mainframes at IBM to leading AI infrastructure innovation at Nebius, with stops at VMware and AWS along the way. The discussion explores the evolution of AI and cloud infrastructure, the five pillars of successful machine learning projects, and the unique challenges of building and operating modern AI data centers—including energy consumption, cooling, and networking. Alexander also delves into the practicalities of infrastructure as code, the importance of data quality, and offers actionable advice for those looking to break into the AI field. Key takeaways include the need for strong data foundations, thoughtful project selection, and the value of leveraging existing skills and tools to succeed in the rapidly evolving AI landscape. Don’t miss this great conversation. </itunes:subtitle>
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      <description><![CDATA[<p>In this bonus episode, John previews the upcoming conversation with Alexander Patrushev of Nebius.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 29 Sep 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>In this bonus episode, John previews the upcoming conversation with Alexander Patrushev of Nebius.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:summary>In this bonus episode, John previews the upcoming conversation with Alexander Patrushev of Nebius.</itunes:summary>
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      <title>263: The End of Busywork: How AI Transforms Productivity at Scale with Alberto Rizzoli of V7</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, AI entrepreneur Alberto Rizzoli shares his journey from early computer vision breakthroughs to leading the automation of back-office workflows at V7. The discussion explores the shift from bespoke model training to configurable AI solutions, the impact of automation on business roles, and emerging best practices for integrating AI into enterprises. Listeners will gain insight into how AI infrastructure is moving from labs to everyday businesses, which roles are most vulnerable or secure amid automation, and why future-proofing your career means focusing on creativity, first principles, and continuous improvement. Don’t miss it! <br /><br />Highlights from this week’s conversation include:</p><ul><li>Setting the Stage: AI’s Hype and Today’s Innovations (1:16)</li><li>Alberto’s Non-Tech Passions: Physics & UX (4:04)</li><li>The Paradigm Shift: Machines that Adapt (6:22)</li><li>Scaling AI: From Niche Apps to Mainstream Use (8:23)</li><li>Large Models vs. Bespoke Solutions—Power Law in AI (11:07)</li><li>Evolving Roles: From Engineer to End User (14:14)</li><li>Simple vs. Complex AI Implementations (18:14)</li><li>When to Scale from Simple AI to Production-Grade (22:40)</li><li>Capturing Tacit Knowledge: Crowdsourcing vs. Centralization (27:22)</li><li>The Challenge of Unstructured Process Documentation (30:08)</li><li>Practical Impact: AI-Enabled Enterprise Leverage (33:29)</li><li>ROI: Time Saved & Compound Effects in the Enterprise (38:08)</li><li>Redefining Information Movers vs. Information Creators (44:14)</li><li>Roles at Risk and the Case for Creativity (45:30)</li><li>Alberto's Favorite New Tech & Future of User Experience (46:00)</li><li>Spreadsheets, Business Logic, and AI’s Next Leap (48:41)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 24 Sep 2025 13:26:03 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, AI entrepreneur Alberto Rizzoli shares his journey from early computer vision breakthroughs to leading the automation of back-office workflows at V7. The discussion explores the shift from bespoke model training to configurable AI solutions, the impact of automation on business roles, and emerging best practices for integrating AI into enterprises. Listeners will gain insight into how AI infrastructure is moving from labs to everyday businesses, which roles are most vulnerable or secure amid automation, and why future-proofing your career means focusing on creativity, first principles, and continuous improvement. Don’t miss it! <br /><br />Highlights from this week’s conversation include:</p><ul><li>Setting the Stage: AI’s Hype and Today’s Innovations (1:16)</li><li>Alberto’s Non-Tech Passions: Physics & UX (4:04)</li><li>The Paradigm Shift: Machines that Adapt (6:22)</li><li>Scaling AI: From Niche Apps to Mainstream Use (8:23)</li><li>Large Models vs. Bespoke Solutions—Power Law in AI (11:07)</li><li>Evolving Roles: From Engineer to End User (14:14)</li><li>Simple vs. Complex AI Implementations (18:14)</li><li>When to Scale from Simple AI to Production-Grade (22:40)</li><li>Capturing Tacit Knowledge: Crowdsourcing vs. Centralization (27:22)</li><li>The Challenge of Unstructured Process Documentation (30:08)</li><li>Practical Impact: AI-Enabled Enterprise Leverage (33:29)</li><li>ROI: Time Saved & Compound Effects in the Enterprise (38:08)</li><li>Redefining Information Movers vs. Information Creators (44:14)</li><li>Roles at Risk and the Case for Creativity (45:30)</li><li>Alberto's Favorite New Tech & Future of User Experience (46:00)</li><li>Spreadsheets, Business Logic, and AI’s Next Leap (48:41)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>263: The End of Busywork: How AI Transforms Productivity at Scale with Alberto Rizzoli of V7</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, AI entrepreneur Alberto Rizzoli shares his journey from early computer vision breakthroughs to leading the automation of back-office workflows at V7. The discussion explores the shift from bespoke model training to configurable AI solutions, the impact of automation on business roles, and emerging best practices for integrating AI into enterprises. Listeners will gain insight into how AI infrastructure is moving from labs to everyday businesses, which roles are most vulnerable or secure amid automation, and why future-proofing your career means focusing on creativity, first principles, and continuous improvement. Don’t miss it! </itunes:summary>
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      <title>The PRQL: The Human and Machine Future of Work with Alberto Rizzoli of V7</title>
      <description><![CDATA[<p>In this bonus episode, Eric and John preview their upcoming conversation with Alberto Rizzoli of V7.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 22 Sep 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>In this bonus episode, Eric and John preview their upcoming conversation with Alberto Rizzoli of V7.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: The Human and Machine Future of Work with Alberto Rizzoli of V7</itunes:title>
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      <title>262: From PDFs to BI and Beyond: The Future of the Data Frontend with Ryan Dolley of GoodData</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, Ryan Dolley joins Eric and John to discuss his unique journey from playwriting to leading product strategy in the data industry. The conversation explores the evolution of business intelligence (BI), the growing influence of AI on analytics, and the shifting skill sets required for data professionals. Key topics include the challenges of adapting to rapid technological change, the importance of embracing engineering practices in BI, and the need for continuous learning. Listeners will gain insights into how AI is transforming data roles, why storytelling remains central to analytics, practical advice for thriving in a fast-changing industry, and so much more. <br /><br />Highlights from this week’s conversation include:</p><ul><li>Ryan’s Journey: From Playwriting to Data (1:05)</li><li>Making a Living as a Playwright (3:02)</li><li>Transitioning to BI: Night School and First Data Jobs (4:12)</li><li>Storytelling and Data: The Art of BI (6:22)</li><li>Early BI Work: Data Warehouses and PDF Reports (8:33)</li><li>Moving from Utilities to Consulting (13:03)</li><li>Building vs. Implementing: Product Strategy Lessons (16:37)</li><li>The AI Shift in BI and Analytics (18:41)</li><li>Automation Anxiety: The Human Side of Data Change (22:16)</li><li>The Evolving Role of BI Experts (25:18)</li><li>Adapting to Change: Learning Code and Experimentation (29:34)</li><li>AI and the Future of Embedded Analytics (33:38)</li><li>Capturing Intent: The Value of Modern BI Interfaces (37:03)</li><li>Bridging the Data and Software Engineering Gap (39:13)</li><li>The Historical Divide: Data vs. Software Engineering (43:06)</li><li>Organizational Challenges: Where Does BI Belong? (46:05)</li><li>Reflections on Self-Service BI and Value (48:46)</li><li>If Not Data: Ryan’s Alternate Career Paths (49:04)</li><li>Final Thoughts and Takeaways (50:17)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 17 Sep 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, Ryan Dolley joins Eric and John to discuss his unique journey from playwriting to leading product strategy in the data industry. The conversation explores the evolution of business intelligence (BI), the growing influence of AI on analytics, and the shifting skill sets required for data professionals. Key topics include the challenges of adapting to rapid technological change, the importance of embracing engineering practices in BI, and the need for continuous learning. Listeners will gain insights into how AI is transforming data roles, why storytelling remains central to analytics, practical advice for thriving in a fast-changing industry, and so much more. <br /><br />Highlights from this week’s conversation include:</p><ul><li>Ryan’s Journey: From Playwriting to Data (1:05)</li><li>Making a Living as a Playwright (3:02)</li><li>Transitioning to BI: Night School and First Data Jobs (4:12)</li><li>Storytelling and Data: The Art of BI (6:22)</li><li>Early BI Work: Data Warehouses and PDF Reports (8:33)</li><li>Moving from Utilities to Consulting (13:03)</li><li>Building vs. Implementing: Product Strategy Lessons (16:37)</li><li>The AI Shift in BI and Analytics (18:41)</li><li>Automation Anxiety: The Human Side of Data Change (22:16)</li><li>The Evolving Role of BI Experts (25:18)</li><li>Adapting to Change: Learning Code and Experimentation (29:34)</li><li>AI and the Future of Embedded Analytics (33:38)</li><li>Capturing Intent: The Value of Modern BI Interfaces (37:03)</li><li>Bridging the Data and Software Engineering Gap (39:13)</li><li>The Historical Divide: Data vs. Software Engineering (43:06)</li><li>Organizational Challenges: Where Does BI Belong? (46:05)</li><li>Reflections on Self-Service BI and Value (48:46)</li><li>If Not Data: Ryan’s Alternate Career Paths (49:04)</li><li>Final Thoughts and Takeaways (50:17)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>262: From PDFs to BI and Beyond: The Future of the Data Frontend with Ryan Dolley of GoodData</itunes:title>
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      <title>The PRQL: Rewriting the Data Playbook: How AI and Storytelling Are Shaping BI’s Future with Ryan Dolley of GoodData</title>
      <description><![CDATA[<p>In this bonus episode, Eric and John preview their upcoming conversation with Ryan Dolley of GoodData.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 17 Sep 2025 08:15:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>In this bonus episode, Eric and John preview their upcoming conversation with Ryan Dolley of GoodData.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <title>261: Will AI Permanently Disrupt the Bundling and Unbundling Cycle?</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, Eric Dodds and John Wessel explore how AI is reshaping the data industry, focusing on the ongoing cycles of bundling and unbundling within data infrastructure. They discuss the potential for closed ecosystems like Notion to deliver personalized, integrated experiences and examine recent industry moves such as Fivetran’s acquisitions. The conversation also highlights the challenges faced by both startups and incumbents, the influence of enterprise customers on product development, and the enduring importance of trade-offs when choosing between bundled and unbundled solutions. Key takeaways include the complexity of implementing AI across platforms, the likelihood that market cycles will persist despite technological advances, and the need for organizations to carefully weigh integration, flexibility, and long-term risk when adopting new data tools.</p><p>Highlights from this week’s conversation include:</p><ul><li>AI’s Value and Early Ecosystem Integration (1:11)</li><li>Closed Ecosystems and AI Opportunities (3:21)</li><li>Personalized Software and the Blank Page Problem (6:17)</li><li>Transition to Data Industry: Bundling Trends (9:56)</li><li>Market Cycles and AI’s Role in Bundling (12:56)</li><li>Incumbents, Innovation, and AI Layering (15:53</li><li>Longevity of Legacy Systems and Ecosystem Risks (17:56)</li><li>Switching Costs and Incumbent Advantages (20:33)</li><li>People Dynamics and the Startup-to-Incumbent Arc (22:50)</li><li>Enterprise Data Infrastructure: Engineering Challenges (26:33)</li><li>Fragmentation, Bundling Value, and AI’s Insulation Effect (29:54)</li><li>Too Many Tools: The Real Meaning Behind Bundling Demand (31:36)</li><li>Trade-offs in Bundling, Unbundling, and AI (33:40)</li><li>Final Thoughts and Takeaways (34:34)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 10 Sep 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, Eric Dodds and John Wessel explore how AI is reshaping the data industry, focusing on the ongoing cycles of bundling and unbundling within data infrastructure. They discuss the potential for closed ecosystems like Notion to deliver personalized, integrated experiences and examine recent industry moves such as Fivetran’s acquisitions. The conversation also highlights the challenges faced by both startups and incumbents, the influence of enterprise customers on product development, and the enduring importance of trade-offs when choosing between bundled and unbundled solutions. Key takeaways include the complexity of implementing AI across platforms, the likelihood that market cycles will persist despite technological advances, and the need for organizations to carefully weigh integration, flexibility, and long-term risk when adopting new data tools.</p><p>Highlights from this week’s conversation include:</p><ul><li>AI’s Value and Early Ecosystem Integration (1:11)</li><li>Closed Ecosystems and AI Opportunities (3:21)</li><li>Personalized Software and the Blank Page Problem (6:17)</li><li>Transition to Data Industry: Bundling Trends (9:56)</li><li>Market Cycles and AI’s Role in Bundling (12:56)</li><li>Incumbents, Innovation, and AI Layering (15:53</li><li>Longevity of Legacy Systems and Ecosystem Risks (17:56)</li><li>Switching Costs and Incumbent Advantages (20:33)</li><li>People Dynamics and the Startup-to-Incumbent Arc (22:50)</li><li>Enterprise Data Infrastructure: Engineering Challenges (26:33)</li><li>Fragmentation, Bundling Value, and AI’s Insulation Effect (29:54)</li><li>Too Many Tools: The Real Meaning Behind Bundling Demand (31:36)</li><li>Trade-offs in Bundling, Unbundling, and AI (33:40)</li><li>Final Thoughts and Takeaways (34:34)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>261: Will AI Permanently Disrupt the Bundling and Unbundling Cycle?</itunes:title>
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      <itunes:duration>00:34:58</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric Dodds and John Wessel explore how AI is reshaping the data industry, focusing on the ongoing cycles of bundling and unbundling within data infrastructure. They discuss the potential for closed ecosystems like Notion to deliver personalized, integrated experiences and examine recent industry moves such as Fivetran’s acquisitions. The conversation also highlights the challenges faced by both startups and incumbents, the influence of enterprise customers on product development, and the enduring importance of trade-offs when choosing between bundled and unbundled solutions. Key takeaways include the complexity of implementing AI across platforms, the likelihood that market cycles will persist despite technological advances, and the need for organizations to carefully weigh integration, flexibility, and long-term risk when adopting new data tools.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric Dodds and John Wessel explore how AI is reshaping the data industry, focusing on the ongoing cycles of bundling and unbundling within data infrastructure. They discuss the potential for closed ecosystems like Notion to deliver personalized, integrated experiences and examine recent industry moves such as Fivetran’s acquisitions. The conversation also highlights the challenges faced by both startups and incumbents, the influence of enterprise customers on product development, and the enduring importance of trade-offs when choosing between bundled and unbundled solutions. Key takeaways include the complexity of implementing AI across platforms, the likelihood that market cycles will persist despite technological advances, and the need for organizations to carefully weigh integration, flexibility, and long-term risk when adopting new data tools.</itunes:subtitle>
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      <title>260: Return of the Dodds: APIs, Automation, and the Art of Data Team Survival</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, the crew welcomes Eric Dodds back to the show as they dive into the realities of integrating AI and large language models into data team workflows. Eric, Matt and John discuss the promise and pitfalls of AI-driven automation, the persistent challenges of working with APIs, and the evolution from big data tools to AI-powered solutions. The conversation also highlights the risks of over-reliance on single experts, the critical importance of documentation and context, and the gap between AI marketing hype and practical implementation. Key takeaways for listeners include the necessity of strong data fundamentals, the hidden costs and risks of AI adoption, the importance of balancing efficiency gains with long-term team resilience, and so much more.</p><p>Highlights from this week’s conversation include:</p><ul><li>Eric is Back from Europe (0:37)</li><li>AI and Data: Jurisdiction and Comfort Level (4:00)</li><li>APIs, Tool Calls, and Practical AI Limitations (5:08)</li><li>Scaling, Big Data, and AI’s Current Constraints (9:16)</li><li>Stakeholder-Facing AI and Data Team Risks (13:20)</li><li>Self-Service Analytics and AI’s Real Impact (16:04)</li><li>AI Hype vs. Reality and Uneven Impact (20:27)</li><li>Cost, Context, and AI’s Practical Barriers (25:25)</li><li>AI for Admin Tasks and Business Logic Complexity (29:13)</li><li>Tribal Knowledge, Documentation, and Context Engineering (32:07)</li><li>AI as a Productivity Accelerator and the “Gary Problem” (35:10)</li><li>Healthy Conflict, Team Dynamics, and AI’s Limits (39:15)</li><li>Back to Fundamentals: Good Practices Enable AI (41:47)</li><li>Lightning Round: Favorite AI Tools and Workflow Integration (45:56)</li><li>AI in Everyday Life and Closing Thoughts (48:14)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 3 Sep 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, the crew welcomes Eric Dodds back to the show as they dive into the realities of integrating AI and large language models into data team workflows. Eric, Matt and John discuss the promise and pitfalls of AI-driven automation, the persistent challenges of working with APIs, and the evolution from big data tools to AI-powered solutions. The conversation also highlights the risks of over-reliance on single experts, the critical importance of documentation and context, and the gap between AI marketing hype and practical implementation. Key takeaways for listeners include the necessity of strong data fundamentals, the hidden costs and risks of AI adoption, the importance of balancing efficiency gains with long-term team resilience, and so much more.</p><p>Highlights from this week’s conversation include:</p><ul><li>Eric is Back from Europe (0:37)</li><li>AI and Data: Jurisdiction and Comfort Level (4:00)</li><li>APIs, Tool Calls, and Practical AI Limitations (5:08)</li><li>Scaling, Big Data, and AI’s Current Constraints (9:16)</li><li>Stakeholder-Facing AI and Data Team Risks (13:20)</li><li>Self-Service Analytics and AI’s Real Impact (16:04)</li><li>AI Hype vs. Reality and Uneven Impact (20:27)</li><li>Cost, Context, and AI’s Practical Barriers (25:25)</li><li>AI for Admin Tasks and Business Logic Complexity (29:13)</li><li>Tribal Knowledge, Documentation, and Context Engineering (32:07)</li><li>AI as a Productivity Accelerator and the “Gary Problem” (35:10)</li><li>Healthy Conflict, Team Dynamics, and AI’s Limits (39:15)</li><li>Back to Fundamentals: Good Practices Enable AI (41:47)</li><li>Lightning Round: Favorite AI Tools and Workflow Integration (45:56)</li><li>AI in Everyday Life and Closing Thoughts (48:14)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>260: Return of the Dodds: APIs, Automation, and the Art of Data Team Survival</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, the crew welcomes Eric Dodds back to the show as they dive into the realities of integrating AI and large language models into data team workflows. Eric, Matt and John discuss the promise and pitfalls of AI-driven automation, the persistent challenges of working with APIs, and the evolution from big data tools to AI-powered solutions. The conversation also highlights the risks of over-reliance on single experts, the critical importance of documentation and context, and the gap between AI marketing hype and practical implementation. Key takeaways for listeners include the necessity of strong data fundamentals, the hidden costs and risks of AI adoption, the importance of balancing efficiency gains with long-term team resilience, and so much more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, the crew welcomes Eric Dodds back to the show as they dive into the realities of integrating AI and large language models into data team workflows. Eric, Matt and John discuss the promise and pitfalls of AI-driven automation, the persistent challenges of working with APIs, and the evolution from big data tools to AI-powered solutions. The conversation also highlights the risks of over-reliance on single experts, the critical importance of documentation and context, and the gap between AI marketing hype and practical implementation. Key takeaways for listeners include the necessity of strong data fundamentals, the hidden costs and risks of AI adoption, the importance of balancing efficiency gains with long-term team resilience, and so much more.</itunes:subtitle>
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      <title>259: AI is All About Working with Data with Kostas Pardalis of typedef</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, Eric and John welcome back Kostas Pardalis, long-time co-host of the Data Stack Show and now Co-Founder of typedef. The group discusses the rapid evolution of AI and data infrastructure. The conversation also explores how AI is accelerating industry change, the challenges of integrating large language models (LLMs) into data workflows, and the limitations of current semantic layers. Kostas shares insights on building next-generation query engines, the importance of using familiar engineering paradigms, and the need to make AI seamless and almost invisible in user experiences. Key takeaways include the necessity of practical, incremental innovation, the reality behind AI hype, strategies for making advanced data tools accessible and reliable for engineers and businesses alike, and so much more. <br /><br />Highlights from this week’s conversation include:</p><ul><li>Kostas’s Background and Career Timeline (1:10)</li><li>Transition from RudderStack to Starburst Data (4:25)</li><li>AI Acceleration and Industry Impact (9:37)</li><li>AI Hype, Investment, and Polarized Reactions (12:05)</li><li>Historical Parallels and Tech Adoption (13:54)</li><li>AI Disrupting Tech Workers and Internal Drama (18:56)</li><li>Experimentation Phase and Future AI Applications (24:01)</li><li>Invisible AI and User Experience (28:21)</li><li>AI in Data Infrastructure and LLMs (34:24)</li><li>SQL, LLMs, and Engineering Solutions (36:35)</li><li>Standardization, Semantic Layers, and Data Modeling (41:01)</li><li>Introduction to typedef (45:49)</li><li>Productionizing AI Workloads with typedef (51:36)</li><li>Familiarity, Reliability, and Engineering Best Practices (57:24)</li><li>Security, Enterprise Concerns, and Open Source Models (1:00:48)</li><li>Final Thoughts and Takeaways (1:01:47)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 27 Aug 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, Eric and John welcome back Kostas Pardalis, long-time co-host of the Data Stack Show and now Co-Founder of typedef. The group discusses the rapid evolution of AI and data infrastructure. The conversation also explores how AI is accelerating industry change, the challenges of integrating large language models (LLMs) into data workflows, and the limitations of current semantic layers. Kostas shares insights on building next-generation query engines, the importance of using familiar engineering paradigms, and the need to make AI seamless and almost invisible in user experiences. Key takeaways include the necessity of practical, incremental innovation, the reality behind AI hype, strategies for making advanced data tools accessible and reliable for engineers and businesses alike, and so much more. <br /><br />Highlights from this week’s conversation include:</p><ul><li>Kostas’s Background and Career Timeline (1:10)</li><li>Transition from RudderStack to Starburst Data (4:25)</li><li>AI Acceleration and Industry Impact (9:37)</li><li>AI Hype, Investment, and Polarized Reactions (12:05)</li><li>Historical Parallels and Tech Adoption (13:54)</li><li>AI Disrupting Tech Workers and Internal Drama (18:56)</li><li>Experimentation Phase and Future AI Applications (24:01)</li><li>Invisible AI and User Experience (28:21)</li><li>AI in Data Infrastructure and LLMs (34:24)</li><li>SQL, LLMs, and Engineering Solutions (36:35)</li><li>Standardization, Semantic Layers, and Data Modeling (41:01)</li><li>Introduction to typedef (45:49)</li><li>Productionizing AI Workloads with typedef (51:36)</li><li>Familiarity, Reliability, and Engineering Best Practices (57:24)</li><li>Security, Enterprise Concerns, and Open Source Models (1:00:48)</li><li>Final Thoughts and Takeaways (1:01:47)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>259: AI is All About Working with Data with Kostas Pardalis of typedef</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome back Kostas Pardalis, long-time co-host of the Data Stack Show and now Co-Founder of typedef. The group discusses the rapid evolution of AI and data infrastructure. The conversation also explores how AI is accelerating industry change, the challenges of integrating large language models (LLMs) into data workflows, and the limitations of current semantic layers. Kostas shares insights on building next-generation query engines, the importance of using familiar engineering paradigms, and the need to make AI seamless and almost invisible in user experiences. Key takeaways include the necessity of practical, incremental innovation, the reality behind AI hype, strategies for making advanced data tools accessible and reliable for engineers and businesses alike, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome back Kostas Pardalis, long-time co-host of the Data Stack Show and now Co-Founder of typedef. The group discusses the rapid evolution of AI and data infrastructure. The conversation also explores how AI is accelerating industry change, the challenges of integrating large language models (LLMs) into data workflows, and the limitations of current semantic layers. Kostas shares insights on building next-generation query engines, the importance of using familiar engineering paradigms, and the need to make AI seamless and almost invisible in user experiences. Key takeaways include the necessity of practical, incremental innovation, the reality behind AI hype, strategies for making advanced data tools accessible and reliable for engineers and businesses alike, and so much more. </itunes:subtitle>
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      <title>The PRQL: He’s Back! How typedef is Changing Data Workflows with Kostas Pardalis</title>
      <description><![CDATA[<p>In this bonus episode, Eric and John welcome back longtime co-host of the Data Stack Show Kostas Pardalis to talk through all things AI and his co-founding of typedef.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 25 Aug 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>In this bonus episode, Eric and John welcome back longtime co-host of the Data Stack Show Kostas Pardalis to talk through all things AI and his co-founding of typedef.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:summary>In this bonus episode, Eric and John welcome back longtime co-host of the Data Stack Show Kostas Pardalis to talk through all things AI and his co-founding of typedef.</itunes:summary>
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      <title>258: Confidently Wrong: Why AI Needs Tools (and So Do We)</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, John and Matt dive into the latest trends in AI, discussing the evolution of GPT models, the role of tools in reducing hallucinations, and the ongoing debate between data warehouses and agent-based approaches. They also explore the complexities of risk-taking in data teams, drawing lessons from Nate Silver’s book on risk and sharing real-world analogies from cybersecurity, football, and political campaigns. Key takeaways include the importance of balancing innovation with practical risk management, the need for clear recommendations from data professionals, the value of reading fiction to understand human behavior in data, and so much more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Initial Impressions of GPT-5 (1:41)</li><li>AI Hallucinations and the Open-Source GPT Model (4:06)</li><li>Tools and Determinism in AI Agents (6:00)</li><li>Risks of Tool Reliance in AI (8:05)</li><li>The Next Big Data Fight: Warehouses vs. Agents (10:21)</li><li>Real-Time Data Processing Limitations (12:56)</li><li>Risk in Data and AI: Book Recommendation (17:08)</li><li>Measurable vs. Perceived Risk in Business (20:10)</li><li>Security Trade-Offs and Organizational Impact (22:31)</li><li>The Quest for Certainty and Wicked Learning Environments (27:37)</li><li>Poker, Process, and Data Team Longevity (29:11)</li><li>Support Roles and Limits of Data Teams (32:56)</li><li>Final Thoughts and Takeaways (34:20)<br /> </li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 20 Aug 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, John and Matt dive into the latest trends in AI, discussing the evolution of GPT models, the role of tools in reducing hallucinations, and the ongoing debate between data warehouses and agent-based approaches. They also explore the complexities of risk-taking in data teams, drawing lessons from Nate Silver’s book on risk and sharing real-world analogies from cybersecurity, football, and political campaigns. Key takeaways include the importance of balancing innovation with practical risk management, the need for clear recommendations from data professionals, the value of reading fiction to understand human behavior in data, and so much more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Initial Impressions of GPT-5 (1:41)</li><li>AI Hallucinations and the Open-Source GPT Model (4:06)</li><li>Tools and Determinism in AI Agents (6:00)</li><li>Risks of Tool Reliance in AI (8:05)</li><li>The Next Big Data Fight: Warehouses vs. Agents (10:21)</li><li>Real-Time Data Processing Limitations (12:56)</li><li>Risk in Data and AI: Book Recommendation (17:08)</li><li>Measurable vs. Perceived Risk in Business (20:10)</li><li>Security Trade-Offs and Organizational Impact (22:31)</li><li>The Quest for Certainty and Wicked Learning Environments (27:37)</li><li>Poker, Process, and Data Team Longevity (29:11)</li><li>Support Roles and Limits of Data Teams (32:56)</li><li>Final Thoughts and Takeaways (34:20)<br /> </li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>258: Confidently Wrong: Why AI Needs Tools (and So Do We)</itunes:title>
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      <title>The PRQL: Hallucinations, Tools, and Data Wars: Inside the Minds of Data Pros</title>
      <description><![CDATA[<p>In this bonus episode, John and Matt preview their upcoming conversation about trends in AI, the evolution of GPT modes and the ongoing debate between data warehouses and agent-based approaches.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com" target="_blank">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 18 Aug 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>In this bonus episode, John and Matt preview their upcoming conversation about trends in AI, the evolution of GPT modes and the ongoing debate between data warehouses and agent-based approaches.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com" target="_blank">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <title>257: Data Tools, Templates, and the Trouble with “Easy” Solutions with the Cynical Data Guy</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, John and Matt bring you another edition of the Cynical Data Guy. John and Matt dive into the evolution of customer data infrastructure, the growing influence of low-code tools like Clay, and the blurred lines around the “engineer” title in modern data roles. They also discuss the trade-offs between SaaS adoption and building custom solutions, the pitfalls of enterprise software buying, and the realities of platform lock-in—using Palantir’s unique business model as a case study. Key takeaways include the importance of simplicity and scalability in data engineering, the need for clear requirements when evaluating tools, and a healthy skepticism toward sales pitches and “art of the possible” features. Don’t miss this month’s Cynical Data Guy. </p><p>Highlights from this week’s conversation include:</p><ul><li>Reacting to the Rise of the GTM Engineer (1:11)</li><li>Is "Engineer" the Right Term? (4:49)</li><li>Low-Code Tools, AI, and Future Workflows (7:14)</li><li>Simplicity in Data Engineering (14:38)</li><li>The Pitfalls of "Simple" Solutions (15:18)</li><li>Choosing SaaS vs. Building In-House (18:26)</li><li>Business Process Abstraction and SaaS Adoption (21:31)</li><li>Enterprise Software: Art of the Possible vs. Practicality (24:31)</li><li>Sales Advice: Focus on Customer Needs (27:11)</li><li>Forward Deployed Engineers and Delivery Models (29:05)</li><li>Platform Lock-In: When Is It a Dirty Word? (36:41)</li><li>Legacy Systems and the Reality of Lock-In (39:53)</li><li>Final Thoughts and Takeaways (40:55)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 13 Aug 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, John and Matt bring you another edition of the Cynical Data Guy. John and Matt dive into the evolution of customer data infrastructure, the growing influence of low-code tools like Clay, and the blurred lines around the “engineer” title in modern data roles. They also discuss the trade-offs between SaaS adoption and building custom solutions, the pitfalls of enterprise software buying, and the realities of platform lock-in—using Palantir’s unique business model as a case study. Key takeaways include the importance of simplicity and scalability in data engineering, the need for clear requirements when evaluating tools, and a healthy skepticism toward sales pitches and “art of the possible” features. Don’t miss this month’s Cynical Data Guy. </p><p>Highlights from this week’s conversation include:</p><ul><li>Reacting to the Rise of the GTM Engineer (1:11)</li><li>Is "Engineer" the Right Term? (4:49)</li><li>Low-Code Tools, AI, and Future Workflows (7:14)</li><li>Simplicity in Data Engineering (14:38)</li><li>The Pitfalls of "Simple" Solutions (15:18)</li><li>Choosing SaaS vs. Building In-House (18:26)</li><li>Business Process Abstraction and SaaS Adoption (21:31)</li><li>Enterprise Software: Art of the Possible vs. Practicality (24:31)</li><li>Sales Advice: Focus on Customer Needs (27:11)</li><li>Forward Deployed Engineers and Delivery Models (29:05)</li><li>Platform Lock-In: When Is It a Dirty Word? (36:41)</li><li>Legacy Systems and the Reality of Lock-In (39:53)</li><li>Final Thoughts and Takeaways (40:55)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>257: Data Tools, Templates, and the Trouble with “Easy” Solutions with the Cynical Data Guy</itunes:title>
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      <description><![CDATA[<p>In this bonus episode, John and Matt preview the next installment of the Cynical Data Guy. </p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 11 Aug 2025 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>In this bonus episode, John and Matt preview the next installment of the Cynical Data Guy. </p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <title>256: The Rise of the Citizen Developer: Solving Business Problems with Alteryx and AI with Andy MacMillan</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, Brooks and John chat with Andy MacMillan, CEO of Alteryx. Andy discusses the evolving landscape of data and AI, focusing on empowering business users to solve complex problems. He explores the concept of "citizen developers" and how tools like Alteryx can bridge the gap between IT and business teams by democratizing data access. The conversation also emphasizes the importance of creating controlled environments where business users can leverage cloud data platforms and AI technologies to reimagine workflows, without bypassing governance. Key takeaways include the need for organizations to enable innovation through accessible data tools, the potential of AI-driven agents to transform business processes, the critical role of employees who understand their business functions in driving technological transformation, and so much more.</p><p>Highlights from this week’s conversation include:</p><ul><li>Andy’s Background and Journey in Data (0:54)</li><li>Early Web Development at General Motors (2:23)</li><li>AI Challenges in the Enterprise (9:03)</li><li>What is Alteryx and Its Value Proposition (11:25)</li><li>The Importance of Empowering Business Users (16:10)</li><li>Bridging the Gap Between Data Platforms and Business Users (20:04)</li><li>Evolution from Desktop to Data Cloud (25:28)</li><li>Access and Governance in the Cloud Era (27:57)</li><li>The Return of Local Data Work and AI Governance (31:24)</li><li>AI Data Clearinghouse and Governance (34:11)</li><li>AI-Enabled Workflows and Business Impact (38:13)</li><li>The Future: Agents, Data Platforms, and Business Logic (41:05)</li><li>How to Get Started with Alteryx or Learn More (46:54)</li><li>Product Management Lessons for Leadership and Parting Thoughts (47:56)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 6 Aug 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, Brooks and John chat with Andy MacMillan, CEO of Alteryx. Andy discusses the evolving landscape of data and AI, focusing on empowering business users to solve complex problems. He explores the concept of "citizen developers" and how tools like Alteryx can bridge the gap between IT and business teams by democratizing data access. The conversation also emphasizes the importance of creating controlled environments where business users can leverage cloud data platforms and AI technologies to reimagine workflows, without bypassing governance. Key takeaways include the need for organizations to enable innovation through accessible data tools, the potential of AI-driven agents to transform business processes, the critical role of employees who understand their business functions in driving technological transformation, and so much more.</p><p>Highlights from this week’s conversation include:</p><ul><li>Andy’s Background and Journey in Data (0:54)</li><li>Early Web Development at General Motors (2:23)</li><li>AI Challenges in the Enterprise (9:03)</li><li>What is Alteryx and Its Value Proposition (11:25)</li><li>The Importance of Empowering Business Users (16:10)</li><li>Bridging the Gap Between Data Platforms and Business Users (20:04)</li><li>Evolution from Desktop to Data Cloud (25:28)</li><li>Access and Governance in the Cloud Era (27:57)</li><li>The Return of Local Data Work and AI Governance (31:24)</li><li>AI Data Clearinghouse and Governance (34:11)</li><li>AI-Enabled Workflows and Business Impact (38:13)</li><li>The Future: Agents, Data Platforms, and Business Logic (41:05)</li><li>How to Get Started with Alteryx or Learn More (46:54)</li><li>Product Management Lessons for Leadership and Parting Thoughts (47:56)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>In this bonus episode, Brooks and John preview their upcoming conversation with Andy MacMillan of Alteryx.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 4 Aug 2025 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, John and Matt bring you another edition of the Cynical Data Guy. John and Matt dive into the quirky world of data analytics, exploring common challenges like unrealistic data requests, the limitations of self-service BI, and the evolving role of data analysts. They also discuss the importance of understanding business context, the need for effective data storytelling, and the emerging trend of "BI as code" which promises more flexible and version-controlled analytics tools. The conversation highlights the gap between technical data capabilities and business user needs, emphasizing that the real value of data professionals lies not just in tool proficiency, but in their ability to provide meaningful insights and guide decision-making. Key takeaways include the importance of context in data analysis, the limitations of self-service tools, the ongoing evolution of data roles in modern organizations, and more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Reading and Reacting to the LinkedIn Data Request Post (1:36)</li><li>Changing KPIs and Data Skepticism (2:21)</li><li>The Burden of Proving Data Integrity (5:00)</li><li>Handling Metric Changes and Historical Comparisons (7:16)</li><li>Preparing Stakeholders for New Metrics (9:16)</li><li>BI Code, Version Control, and Modern Dashboards (11:20)</li><li>Scoping and Business Context in Data Roles (14:38)</li><li>Technical vs. Business Understanding in Data Teams (16:29)</li><li>GUI vs. Code in Dashboard Customization (20:41)</li><li>The Analyst’s Role: Guidance Over Tools (23:23)</li><li>Hiring and the Real-World Analyst Skillset (28:11)</li><li>Final Thoughts and Takeaways (30:36)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, John chats with Paul Blankley, Founder and CTO of Zenlytic, live from Denver! Paul and John discuss the rapid evolution of AI in business intelligence, highlighting how AI is transforming data analysis and decision-making. Paul also explores the potential of AI as an "employee" that can handle complex analytical tasks, from unstructured data processing to proactive monitoring. Key insights include the increasing capabilities of AI in symbolic tasks like coding, the importance of providing business context to AI models, and the future of BI tools that can flexibly interact with both structured and unstructured data. Paul emphasizes that the next generation of AI tools will move beyond traditional dashboards, offering more intelligent, context-aware insights that can help businesses make more informed decisions. It’s an exciting conversation you won’t want to miss.</p><p>Highlights from this week’s conversation include:</p><ul><li>Welcoming Paul Back and Industry Changes (1:03)</li><li>AI Model Progress and Superhuman Domains (2:01)</li><li>AI as an Employee: Context and Capabilities (4:04)</li><li>Model Selection and User Experience (7:37)</li><li>AI as a McKinsey Consultant: Decision-Making (10:18)</li><li>Structured vs. Unstructured Data Platforms (12:55)</li><li>MCP Servers and the Future of BI Interfaces (16:00)</li><li>Value of UI and Multimodal BI Experiences (18:38)</li><li>Pitfalls of DIY Data Pipelines and Governance (22:14)</li><li>Text-to-SQL, Semantic Layers, and Trust (28:10)</li><li>Democratizing Semantic Models and Personalization (33:22)</li><li>Inefficiency in Analytics and Analyst Workflows (35:07)</li><li>Reasoning and Intelligence in Monitoring (37:20)</li><li>Roadmap: Proactive AI by 2026 (39:53)</li><li>Limitations of BI Incumbents, Future Outlooks and Parting Thoughts (41:15)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 23 Jul 2025 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, Eric and welcomes back Ruben Burdin, Founder and CEO of Stacksync as they together dismantle the myths surrounding zero-copy ETL and traditional data integration methods. Ruben reveals the complex challenges of two-way syncing between enterprise systems like Salesforce, HubSpot, and NetSuite, highlighting how existing tools often create more problems than solutions. He also introduces Stacksync's innovative approach, which uses real-time SQL-based synchronization to simplify data integration, reduce maintenance overhead, and enable more efficient operational workflows. The conversation exposes the limitations of current data transfer techniques and offers a glimpse into a more declarative, flexible approach to managing enterprise data across multiple systems. You won’t want to miss it.</p><p>Highlights from this week’s conversation include:</p><ul><li>The Pain of Two-Way Sync and Early Integration Challenges (2:01)</li><li>Zero Copy ETL: Hype vs. Reality (3:50)</li><li>Data Definitions and System Complexity (7:39)</li><li>Limitations of Out-of-the-Box Integrations (9:35)</li><li>The CSV File: The Original Two-Way Sync (11:18)</li><li>Stacksync’s Approach and Capabilities (12:21)</li><li>Zero Copy ETL: Technical and Business Barriers (14:22)</li><li>Data Sharing, Clean Rooms, and Marketing Myths (18:40)</li><li>The Reliable Loop: ETL, Transform, Reverse ETL (27:08)</li><li>Business Logic Fragmentation and Maintenance (33:43)</li><li>Simplifying Architecture with Real-Time Two-Way Sync (35:14)</li><li>Operational Use Case: HubSpot, Salesforce, and Snowflake (39:10)</li><li>Filtering, Triggers, and Real-Time Workflows (45:38)</li><li>Complex Use Case: Salesforce to NetSuite with Data Discrepancies (48:56)</li><li>Declarative Logic and Debugging with SQL (54:54)</li><li>Connecting with Ruben and Parting Thoughts (57:58)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 16 Jul 2025 08:30:00 +0000</pubDate>
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      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, Eric and welcomes back Ruben Burdin, Founder and CEO of Stacksync as they together dismantle the myths surrounding zero-copy ETL and traditional data integration methods. Ruben reveals the complex challenges of two-way syncing between enterprise systems like Salesforce, HubSpot, and NetSuite, highlighting how existing tools often create more problems than solutions. He also introduces Stacksync's innovative approach, which uses real-time SQL-based synchronization to simplify data integration, reduce maintenance overhead, and enable more efficient operational workflows. The conversation exposes the limitations of current data transfer techniques and offers a glimpse into a more declarative, flexible approach to managing enterprise data across multiple systems. You won’t want to miss it.</p><p>Highlights from this week’s conversation include:</p><ul><li>The Pain of Two-Way Sync and Early Integration Challenges (2:01)</li><li>Zero Copy ETL: Hype vs. Reality (3:50)</li><li>Data Definitions and System Complexity (7:39)</li><li>Limitations of Out-of-the-Box Integrations (9:35)</li><li>The CSV File: The Original Two-Way Sync (11:18)</li><li>Stacksync’s Approach and Capabilities (12:21)</li><li>Zero Copy ETL: Technical and Business Barriers (14:22)</li><li>Data Sharing, Clean Rooms, and Marketing Myths (18:40)</li><li>The Reliable Loop: ETL, Transform, Reverse ETL (27:08)</li><li>Business Logic Fragmentation and Maintenance (33:43)</li><li>Simplifying Architecture with Real-Time Two-Way Sync (35:14)</li><li>Operational Use Case: HubSpot, Salesforce, and Snowflake (39:10)</li><li>Filtering, Triggers, and Real-Time Workflows (45:38)</li><li>Complex Use Case: Salesforce to NetSuite with Data Discrepancies (48:56)</li><li>Declarative Logic and Debugging with SQL (54:54)</li><li>Connecting with Ruben and Parting Thoughts (57:58)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:summary>This week on The Data Stack Show, Eric and welcomes back Ruben Burdin, Founder and CEO of Stacksync as they together dismantle the myths surrounding zero-copy ETL and traditional data integration methods. Ruben reveals the complex challenges of two-way syncing between enterprise systems like Salesforce, HubSpot, and NetSuite, highlighting how existing tools often create more problems than solutions. He also introduces Stacksync&apos;s innovative approach, which uses real-time SQL-based synchronization to simplify data integration, reduce maintenance overhead, and enable more efficient operational workflows. The conversation exposes the limitations of current data transfer techniques and offers a glimpse into a more declarative, flexible approach to managing enterprise data across multiple systems. You won’t want to miss it.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and welcomes back Ruben Burdin, Founder and CEO of Stacksync as they together dismantle the myths surrounding zero-copy ETL and traditional data integration methods. Ruben reveals the complex challenges of two-way syncing between enterprise systems like Salesforce, HubSpot, and NetSuite, highlighting how existing tools often create more problems than solutions. He also introduces Stacksync&apos;s innovative approach, which uses real-time SQL-based synchronization to simplify data integration, reduce maintenance overhead, and enable more efficient operational workflows. The conversation exposes the limitations of current data transfer techniques and offers a glimpse into a more declarative, flexible approach to managing enterprise data across multiple systems. You won’t want to miss it.</itunes:subtitle>
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      <description><![CDATA[<p>In this bonus episode, Eric and John preview their upcoming conversation with Ruben Burdin of Stacksync.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 14 Jul 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>In this bonus episode, Eric and John preview their upcoming conversation with Ruben Burdin of Stacksync.</p><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <title>252: What the Heck is Happening in Data Right Now with the Cynical Data Guy</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The group explores the current state of data engineering and team dynamics while critically examining the evolving landscape of analytics engineering, dissecting the hype around the modern data stack and its tools. The conversation also explores the challenges of data team management, including headcount reductions, rising technology costs, and the struggle to maintain efficiency. Key discussions revolve around the need for open standards, the impact of AI on data roles, the complex hiring practices in tech startups, and so much more. <br /> </p><p>Highlights from this week’s conversation include:</p><ul><li>The Evolution of Analytics Engineer Roles (1:53)</li><li>Job Titles and Role Consolidation in Data (3:20)</li><li>Standardization and Open Data Standards (7:51)</li><li>SQL as a Universal Standard & Vendor Lock-In (11:58)</li><li>Modern Data Stack: Hype vs. Reality (13:29)</li><li>The State of Data Teams in 2025 (18:12)</li><li>Morale and Job Market Realities for Data Professionals (25:17)</li><li>Bonus Round: Extreme Work Culture Satire (28:41)</li><li>Honesty in Hiring and Team Building (33:18)</li><li>Challenges of Building and Leading Data Teams (37:31)</li><li>Final Thoughts and Takeaways (41:15)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><p> </p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 9 Jul 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The group explores the current state of data engineering and team dynamics while critically examining the evolving landscape of analytics engineering, dissecting the hype around the modern data stack and its tools. The conversation also explores the challenges of data team management, including headcount reductions, rising technology costs, and the struggle to maintain efficiency. Key discussions revolve around the need for open standards, the impact of AI on data roles, the complex hiring practices in tech startups, and so much more. <br /> </p><p>Highlights from this week’s conversation include:</p><ul><li>The Evolution of Analytics Engineer Roles (1:53)</li><li>Job Titles and Role Consolidation in Data (3:20)</li><li>Standardization and Open Data Standards (7:51)</li><li>SQL as a Universal Standard & Vendor Lock-In (11:58)</li><li>Modern Data Stack: Hype vs. Reality (13:29)</li><li>The State of Data Teams in 2025 (18:12)</li><li>Morale and Job Market Realities for Data Professionals (25:17)</li><li>Bonus Round: Extreme Work Culture Satire (28:41)</li><li>Honesty in Hiring and Team Building (33:18)</li><li>Challenges of Building and Leading Data Teams (37:31)</li><li>Final Thoughts and Takeaways (41:15)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><p> </p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>252: What the Heck is Happening in Data Right Now with the Cynical Data Guy</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>00:42:19</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The group explores the current state of data engineering and team dynamics while critically examining the evolving landscape of analytics engineering, dissecting the hype around the modern data stack and its tools. The conversation also explores the challenges of data team management, including headcount reductions, rising technology costs, and the struggle to maintain efficiency. Key discussions revolve around the need for open standards, the impact of AI on data roles, the complex hiring practices in tech startups, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The group explores the current state of data engineering and team dynamics while critically examining the evolving landscape of analytics engineering, dissecting the hype around the modern data stack and its tools. The conversation also explores the challenges of data team management, including headcount reductions, rising technology costs, and the struggle to maintain efficiency. Key discussions revolve around the need for open standards, the impact of AI on data roles, the complex hiring practices in tech startups, and so much more. </itunes:subtitle>
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      <title>The PRQL: Data Engineering in 2025: Tooling, Headcount, and Survival Strategies with the Cynical Data Guy</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 7 Jul 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: Data Engineering in 2025: Tooling, Headcount, and Survival Strategies with the Cynical Data Guy</itunes:title>
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      <title>251: Data Teams at the Crossroads: Proving Value in a Changing Business Landscape with Ben Rogojan</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Technical Freelancer Academy & Consulting Community (1:21)</li><li>Evolution of Data Teams and Technology (2:52)</li><li>Data Team Growth and Output vs. Outcome (4:47)</li><li>Internal Optimization vs. Client-Facing Data Work (7:23)</li><li>Audience, Delivery Mechanisms, and Actionability (12:40)</li><li>Proving ROI and Prioritizing Work (15:27)</li><li>Practical Tips for Data Team-Business Alignment (18:31)</li><li>Dealing with Vanity and Security Blanket Metrics (23:39)</li><li>AI’s Impact on Data Workflows (27:07)</li><li>BI Tools, AI Integration, and Dashboards (32:25)</li><li>Top Skills for Data Professionals (37:27)</li><li>Career Growth: Technical, Communication, and Business Skills (42:02)</li><li>Show, Don’t Tell: Prototyping and Feedback (44:37)</li><li>Taking Initiative and Risk in Data Roles (50:21)</li><li>Parting Advice and Closing Thoughts (51:16)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 2 Jul 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Technical Freelancer Academy & Consulting Community (1:21)</li><li>Evolution of Data Teams and Technology (2:52)</li><li>Data Team Growth and Output vs. Outcome (4:47)</li><li>Internal Optimization vs. Client-Facing Data Work (7:23)</li><li>Audience, Delivery Mechanisms, and Actionability (12:40)</li><li>Proving ROI and Prioritizing Work (15:27)</li><li>Practical Tips for Data Team-Business Alignment (18:31)</li><li>Dealing with Vanity and Security Blanket Metrics (23:39)</li><li>AI’s Impact on Data Workflows (27:07)</li><li>BI Tools, AI Integration, and Dashboards (32:25)</li><li>Top Skills for Data Professionals (37:27)</li><li>Career Growth: Technical, Communication, and Business Skills (42:02)</li><li>Show, Don’t Tell: Prototyping and Feedback (44:37)</li><li>Taking Initiative and Risk in Data Roles (50:21)</li><li>Parting Advice and Closing Thoughts (51:16)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>251: Data Teams at the Crossroads: Proving Value in a Changing Business Landscape with Ben Rogojan</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>00:52:35</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, John welcomes back repeat-guest Ben Rogojan, Owner and Data Consultant of Seattle Data Guy. John and Ben discuss the evolving relationship between data teams and businesses, highlighting the challenges of proving value in a cost-conscious environment. Ben explores the impact of technological advancements, the rise of AI, and the critical skills data professionals need to succeed. Key insights include the importance of understanding business context, being proactive, and focusing on delivering tangible outcomes rather than just producing dashboards. Ben also emphasizes the need for data teams to communicate value effectively, show rather than tell, and be willing to take calculated risks. The conversation provides practical advice for data professionals looking to advance their careers, with a focus on developing business skills, understanding organizational needs, creating meaningful impact beyond technical expertise, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, John welcomes back repeat-guest Ben Rogojan, Owner and Data Consultant of Seattle Data Guy. John and Ben discuss the evolving relationship between data teams and businesses, highlighting the challenges of proving value in a cost-conscious environment. Ben explores the impact of technological advancements, the rise of AI, and the critical skills data professionals need to succeed. Key insights include the importance of understanding business context, being proactive, and focusing on delivering tangible outcomes rather than just producing dashboards. Ben also emphasizes the need for data teams to communicate value effectively, show rather than tell, and be willing to take calculated risks. The conversation provides practical advice for data professionals looking to advance their careers, with a focus on developing business skills, understanding organizational needs, creating meaningful impact beyond technical expertise, and so much more. </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 30 Jun 2025 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: Beyond Dashboards: Selling Data Value to the Business with Ben Rogojan</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Ben Rogojan, the Seattle Data Guy. </itunes:summary>
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      <title>250: The Chat Interface Debate: Is Text Really the Future?</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Dashboard vs. Chatbot Discussion (1:40)</li><li>The Future of Chat Interfaces (3:03)</li><li>Vibe Revenue Concept (6:36)</li><li>AI's Early Days Compared to the Internet (10:14)</li><li>OpenAI and Hardware Collaboration (13:09)</li><li>Challenges of Hardware Development (16:20)</li><li>Productivity in Programming Languages (18:18)</li><li>Critique of 'Language is Dead' Posts (21:34)</li><li>Legacy Systems in Use (22:34)</li><li>Deterministic vs. Non-Deterministic Workflows (23:37)</li><li>Final Thoughts and Takeaways (23:45)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 25 Jun 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Dashboard vs. Chatbot Discussion (1:40)</li><li>The Future of Chat Interfaces (3:03)</li><li>Vibe Revenue Concept (6:36)</li><li>AI's Early Days Compared to the Internet (10:14)</li><li>OpenAI and Hardware Collaboration (13:09)</li><li>Challenges of Hardware Development (16:20)</li><li>Productivity in Programming Languages (18:18)</li><li>Critique of 'Language is Dead' Posts (21:34)</li><li>Legacy Systems in Use (22:34)</li><li>Deterministic vs. Non-Deterministic Workflows (23:37)</li><li>Final Thoughts and Takeaways (23:45)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>250: The Chat Interface Debate: Is Text Really the Future?</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, John Wessel and Matt Kelliher-Gibson converse current tech trends through the lens of LinkedIn posts, discussing AI interfaces, technology evolution, and programming languages. They examine the overuse of dashboards and chat interfaces, explore the potential of AI hardware, and challenge the notion that programming languages like R are &quot;dead&quot;. The conversation highlights the importance of maintaining a cynical yet open-minded perspective on technological innovation, emphasizing that established technologies often persist because they work effectively. Key takeaways include the need for more thoughtful KPIs in tech, the unpredictability of technological advancement, the value of deterministic solutions in an increasingly AI-driven landscape, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, John Wessel and Matt Kelliher-Gibson converse current tech trends through the lens of LinkedIn posts, discussing AI interfaces, technology evolution, and programming languages. They examine the overuse of dashboards and chat interfaces, explore the potential of AI hardware, and challenge the notion that programming languages like R are &quot;dead&quot;. The conversation highlights the importance of maintaining a cynical yet open-minded perspective on technological innovation, emphasizing that established technologies often persist because they work effectively. Key takeaways include the need for more thoughtful KPIs in tech, the unpredictability of technological advancement, the value of deterministic solutions in an increasingly AI-driven landscape, and so much more. </itunes:subtitle>
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      <title>249: Quacking Through Data: Duckdb&apos;s Emerging Ecosystem</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, John Wessel and Matt Kelliher-Gibson dive into the recent Duck Lake announcement, exploring the evolving landscape of data analytics technologies. They discuss DuckDB's role as a lightweight, local analytics database and its potential as a caching layer for open table formats like Iceberg. The conversation also highlights the current state of data storage standards, focusing on agreements around Parquet and Iceberg, while noting the ongoing complexity in catalog management. Key takeaways include the importance of local compute solutions, the early stage of open table formats, and the potential for simplified data infrastructure that can provide faster, more cost-effective analytics workflows. The episode underscores the ongoing innovation in data technologies and the need for more streamlined, flexible data management solutions. Don’t miss it!</p><p>Highlights from this week’s conversation include:</p><ul><li>Discussion on Duck Lake Announcement (1:41)</li><li>Compatibility with Apache Iceberg (4:05)</li><li>Use Cases for DuckDB (6:23)</li><li>Concerns About Data Management (10:01)</li><li>Introduction to Data Formats (11:40)</li><li>Catalog Space Challenges (13:13)</li><li>Metadata Orchestration (14:54)</li><li>Simplicity in Data Management (15:25)</li><li>SQL Demo Discussion (17:26)</li><li>Wrap-Up and Final Thoughts (18:44)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 18 Jun 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, John Wessel and Matt Kelliher-Gibson dive into the recent Duck Lake announcement, exploring the evolving landscape of data analytics technologies. They discuss DuckDB's role as a lightweight, local analytics database and its potential as a caching layer for open table formats like Iceberg. The conversation also highlights the current state of data storage standards, focusing on agreements around Parquet and Iceberg, while noting the ongoing complexity in catalog management. Key takeaways include the importance of local compute solutions, the early stage of open table formats, and the potential for simplified data infrastructure that can provide faster, more cost-effective analytics workflows. The episode underscores the ongoing innovation in data technologies and the need for more streamlined, flexible data management solutions. Don’t miss it!</p><p>Highlights from this week’s conversation include:</p><ul><li>Discussion on Duck Lake Announcement (1:41)</li><li>Compatibility with Apache Iceberg (4:05)</li><li>Use Cases for DuckDB (6:23)</li><li>Concerns About Data Management (10:01)</li><li>Introduction to Data Formats (11:40)</li><li>Catalog Space Challenges (13:13)</li><li>Metadata Orchestration (14:54)</li><li>Simplicity in Data Management (15:25)</li><li>SQL Demo Discussion (17:26)</li><li>Wrap-Up and Final Thoughts (18:44)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>249: Quacking Through Data: Duckdb&apos;s Emerging Ecosystem</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, John Wessel and Matt Kelliher-Gibson dive into the recent Duck Lake announcement, exploring the evolving landscape of data analytics technologies. They discuss DuckDB&apos;s role as a lightweight, local analytics database and its potential as a caching layer for open table formats like Iceberg. The conversation also highlights the current state of data storage standards, focusing on agreements around Parquet and Iceberg, while noting the ongoing complexity in catalog management. Key takeaways include the importance of local compute solutions, the early stage of open table formats, and the potential for simplified data infrastructure that can provide faster, more cost-effective analytics workflows. The episode underscores the ongoing innovation in data technologies and the need for more streamlined, flexible data management solutions. Don’t miss it!</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, John Wessel and Matt Kelliher-Gibson dive into the recent Duck Lake announcement, exploring the evolving landscape of data analytics technologies. They discuss DuckDB&apos;s role as a lightweight, local analytics database and its potential as a caching layer for open table formats like Iceberg. The conversation also highlights the current state of data storage standards, focusing on agreements around Parquet and Iceberg, while noting the ongoing complexity in catalog management. Key takeaways include the importance of local compute solutions, the early stage of open table formats, and the potential for simplified data infrastructure that can provide faster, more cost-effective analytics workflows. The episode underscores the ongoing innovation in data technologies and the need for more streamlined, flexible data management solutions. Don’t miss it!</itunes:subtitle>
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      <title>248: AI and BI: The Future of Data Analytics with Michael Driscoll of Rill Data</title>
      <description><![CDATA[<p>This week on <i>The Data Stack Show</i>, Eric and John welcome Michael Driscoll, Co-Founder and CEO of Rill Data. Mike discusses the transformative impact of AI on business intelligence (BI) and data analytics. He also explores the shift from traditional dashboard-based tools to more dynamic, code-driven, and AI-powered interfaces that provide deeper insights. During the conversation, the group emphasizes the importance of a metrics-first approach, the potential of leapfrog architectures using technologies like data lakes and real-time analytical databases, and how AI agents are increasingly becoming the primary users of data tools. The conversation highlights the evolving landscape of data infrastructure, where open standards, flexibility, and intelligent interfaces are reshaping how businesses interact with and understand their data, and more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Welcome Back Mike Driscoll (1:11)</li><li>Philosophy Behind BI Tools (2:04)</li><li>Building a Natural Language Processing Server (4:33)</li><li>Deployment of MCP Servers (6:07)</li><li>The Role of Visualizations in BI (10:09)</li><li>Measuring Product Success (12:43)</li><li>Navigating Changes as Data Professionals (16:13)</li><li>Efficiency Gains with Code (19:00)</li><li>The Future of Data Teams (22:29)</li><li>Long-term Use of Rutter Stack (25:16)</li><li>Analytics Landscape Overview (30:59)</li><li>Future of BI Architecture (33:04)</li><li>AI's Role in Analytics (35:07)</li><li>Interoperability and Talent Pool (39:41)</li><li>The Crowded BI Market (42:03)</li><li>Final Thoughts and Takeaways (46:07)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 11 Jun 2025 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>This week on <i>The Data Stack Show</i>, Eric and John welcome Michael Driscoll, Co-Founder and CEO of Rill Data. Mike discusses the transformative impact of AI on business intelligence (BI) and data analytics. He also explores the shift from traditional dashboard-based tools to more dynamic, code-driven, and AI-powered interfaces that provide deeper insights. During the conversation, the group emphasizes the importance of a metrics-first approach, the potential of leapfrog architectures using technologies like data lakes and real-time analytical databases, and how AI agents are increasingly becoming the primary users of data tools. The conversation highlights the evolving landscape of data infrastructure, where open standards, flexibility, and intelligent interfaces are reshaping how businesses interact with and understand their data, and more. </p><p>Highlights from this week’s conversation include:</p><ul><li>Welcome Back Mike Driscoll (1:11)</li><li>Philosophy Behind BI Tools (2:04)</li><li>Building a Natural Language Processing Server (4:33)</li><li>Deployment of MCP Servers (6:07)</li><li>The Role of Visualizations in BI (10:09)</li><li>Measuring Product Success (12:43)</li><li>Navigating Changes as Data Professionals (16:13)</li><li>Efficiency Gains with Code (19:00)</li><li>The Future of Data Teams (22:29)</li><li>Long-term Use of Rutter Stack (25:16)</li><li>Analytics Landscape Overview (30:59)</li><li>Future of BI Architecture (33:04)</li><li>AI's Role in Analytics (35:07)</li><li>Interoperability and Talent Pool (39:41)</li><li>The Crowded BI Market (42:03)</li><li>Final Thoughts and Takeaways (46:07)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>248: AI and BI: The Future of Data Analytics with Michael Driscoll of Rill Data</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Michael Driscoll, Co-Founder and CEO of Rill Data. Mike discusses the transformative impact of AI on business intelligence (BI) and data analytics. He also explores the shift from traditional dashboard-based tools to more dynamic, code-driven, and AI-powered interfaces that provide deeper insights. During the conversation, the group emphasizes the importance of a metrics-first approach, the potential of leapfrog architectures using technologies like data lakes and real-time analytical databases, and how AI agents are increasingly becoming the primary users of data tools. The conversation highlights the evolving landscape of data infrastructure, where open standards, flexibility, and intelligent interfaces are reshaping how businesses interact with and understand their data, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Michael Driscoll, Co-Founder and CEO of Rill Data. Mike discusses the transformative impact of AI on business intelligence (BI) and data analytics. He also explores the shift from traditional dashboard-based tools to more dynamic, code-driven, and AI-powered interfaces that provide deeper insights. During the conversation, the group emphasizes the importance of a metrics-first approach, the potential of leapfrog architectures using technologies like data lakes and real-time analytical databases, and how AI agents are increasingly becoming the primary users of data tools. The conversation highlights the evolving landscape of data infrastructure, where open standards, flexibility, and intelligent interfaces are reshaping how businesses interact with and understand their data, and more. </itunes:subtitle>
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      <title>The PRQL: The Metrics-First Approach: Transforming How We Understand Data with Michael Driscoll of Rill Data</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 9 Jun 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: The Metrics-First Approach: Transforming How We Understand Data with Michael Driscoll of Rill Data</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Michael Driscoll of Rill Data. </itunes:summary>
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      <title>247: Consulting Firms, AI Strategies, and the $100K Question with the Cynical Data Guy</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The Cynical Data Guy Returns (1:11)</li><li>Klarna's AI Shift (2:08)</li><li>Sensational Headlines in Tech (4:31)</li><li>Impact of AI on Jobs (8:19)</li><li>Cost of AI Strategy (10:21)</li><li>Consulting Strategies and Company Differentiation (12:26)</li><li>Brand Recognition in Consulting (14:48)</li><li>Critique of Outsourcing Thought (17:10)</li><li>Future of Consulting with AI (19:37)</li><li>The Fragility of Data Systems (21:32)</li><li>Primitive Data Stacks (24:05)</li><li>Cynical Data Scientist Epitaph (00:26:06)</li><li>Rebranding Data Science (27:40)</li><li>Parting Thoughts and Takeaways (30:14)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 4 Jun 2025 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The Cynical Data Guy Returns (1:11)</li><li>Klarna's AI Shift (2:08)</li><li>Sensational Headlines in Tech (4:31)</li><li>Impact of AI on Jobs (8:19)</li><li>Cost of AI Strategy (10:21)</li><li>Consulting Strategies and Company Differentiation (12:26)</li><li>Brand Recognition in Consulting (14:48)</li><li>Critique of Outsourcing Thought (17:10)</li><li>Future of Consulting with AI (19:37)</li><li>The Fragility of Data Systems (21:32)</li><li>Primitive Data Stacks (24:05)</li><li>Cynical Data Scientist Epitaph (00:26:06)</li><li>Rebranding Data Science (27:40)</li><li>Parting Thoughts and Takeaways (30:14)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>247: Consulting Firms, AI Strategies, and the $100K Question with the Cynical Data Guy</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The group dives into the latest tech trends, discussing Klarna&apos;s AI-first customer support strategy and subsequent reversal, the high costs and limitations of big consulting firms in AI strategy, and the often-overlooked simplicity of data management in successful companies. The group critically examines the current state of AI implementation, data science practices, and corporate technology transformation, highlighting the importance of understanding business needs over technical accuracy. The conversation provides listeners with a humorous yet insightful look into the challenges of integrating new technologies, the role of human expertise, the potential pitfalls of blindly following industry trends, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The group dives into the latest tech trends, discussing Klarna&apos;s AI-first customer support strategy and subsequent reversal, the high costs and limitations of big consulting firms in AI strategy, and the often-overlooked simplicity of data management in successful companies. The group critically examines the current state of AI implementation, data science practices, and corporate technology transformation, highlighting the importance of understanding business needs over technical accuracy. The conversation provides listeners with a humorous yet insightful look into the challenges of integrating new technologies, the role of human expertise, the potential pitfalls of blindly following industry trends, and so much more. </itunes:subtitle>
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      <pubDate>Mon, 2 Jun 2025 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pete's Background and Journey in Data (1:36)</li><li>Evolution of Data Practices (3:02)</li><li>Integration Challenges with Acquired Companies (5:13)</li><li>Trust and Safety as a Service (8:12)</li><li>Transition to Dagster (11:26)</li><li>Value Creation in Networking (14:42)</li><li>Observability in Data Pipelines (18:44)</li><li>The Era of Big Complexity (21:38)</li><li>Abstraction as a Tool for Complexity (24:41)</li><li>Composability and Workflow Engines (28:08)</li><li>The Need for Guardrails (33:13)</li><li>AI in Development Tools (36:24)</li><li>Internal Components Marketplace (40:14)</li><li>Reimagining Data Integration (43:03)</li><li>Importance of Abstraction in Data Tools (46:17)</li><li>Parting Advice for Listeners and Closing Thoughts (48:01)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 28 May 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pete's Background and Journey in Data (1:36)</li><li>Evolution of Data Practices (3:02)</li><li>Integration Challenges with Acquired Companies (5:13)</li><li>Trust and Safety as a Service (8:12)</li><li>Transition to Dagster (11:26)</li><li>Value Creation in Networking (14:42)</li><li>Observability in Data Pipelines (18:44)</li><li>The Era of Big Complexity (21:38)</li><li>Abstraction as a Tool for Complexity (24:41)</li><li>Composability and Workflow Engines (28:08)</li><li>The Need for Guardrails (33:13)</li><li>AI in Development Tools (36:24)</li><li>Internal Components Marketplace (40:14)</li><li>Reimagining Data Integration (43:03)</li><li>Importance of Abstraction in Data Tools (46:17)</li><li>Parting Advice for Listeners and Closing Thoughts (48:01)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>246: AI, Abstractions, and the Future of Data Engineering with Pete Hunt of Dagster</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, Brooks and John welcome Pete Hunt, CEO of Dagster Labs. During this conversation, Pete takes listeners on a fascinating journey through the evolution of data platforms, sharing insights from his experiences at Facebook and Twitter. Pete discusses the critical challenges of managing data complexity, emphasizing the importance of software engineering best practices and strong abstractions in data orchestration. He explores how emerging technologies like AI are transforming data workflows, breaking down traditional team boundaries, and enabling more collaborative, self-service data engineering. The conversation also highlights Dagster&apos;s innovative approach to building a data control plane, with a focus on empowering different stakeholders through flexible, composable tools. Listeners will gain valuable perspectives on the future of data engineering, the role of AI in development, the importance of creating adaptable, user-friendly data infrastructure, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Brooks and John welcome Pete Hunt, CEO of Dagster Labs. During this conversation, Pete takes listeners on a fascinating journey through the evolution of data platforms, sharing insights from his experiences at Facebook and Twitter. Pete discusses the critical challenges of managing data complexity, emphasizing the importance of software engineering best practices and strong abstractions in data orchestration. He explores how emerging technologies like AI are transforming data workflows, breaking down traditional team boundaries, and enabling more collaborative, self-service data engineering. The conversation also highlights Dagster&apos;s innovative approach to building a data control plane, with a focus on empowering different stakeholders through flexible, composable tools. Listeners will gain valuable perspectives on the future of data engineering, the role of AI in development, the importance of creating adaptable, user-friendly data infrastructure, and so much more. </itunes:subtitle>
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      <title>The PRQL: Breaking Down Silos: Collaborative Data Engineering in the AI Era with Pete Hunt of Dagster</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 26 May 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, customer data infrastructure that enables you to deliver real-time customer event data everywhere it’s needed to power smarter decisions and better customer experiences. Each week, we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: Breaking Down Silos: Collaborative Data Engineering in the AI Era with Pete Hunt of Dagster</itunes:title>
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      <title>245: The Future of Data: Postgres, Iceberg, and Operational Analytics with Pranav Aurora of Mooncake Labs</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pranav’s Background and Journey in Data (1:10)</li><li>Backstory of Mooncake Labs (2:05)</li><li>PostgreSQL as a Force (4:47)</li><li>Curiosity in Product Management (7:33)</li><li>Challenges with Iceberg (11:12)</li><li>Go-to-Market Strategy (13:52)</li><li>Building Community Engagement (15:56)</li><li>Importance of Feedback (18:26)</li><li>AI Integration in Mooncake Labs (21:29)</li><li>Innovation in data interaction (23:49)</li><li>PostgreSQL and startup growth (28:41)</li><li>Core component of business strategy (31:20)</li><li>The Origin of the name Mooncake Labs (34:12)</li><li>Upcoming Product Release (38:40)</li><li>Connecting with Mooncake Labs and Parting Thoughts (42:49)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Thu, 22 May 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pranav’s Background and Journey in Data (1:10)</li><li>Backstory of Mooncake Labs (2:05)</li><li>PostgreSQL as a Force (4:47)</li><li>Curiosity in Product Management (7:33)</li><li>Challenges with Iceberg (11:12)</li><li>Go-to-Market Strategy (13:52)</li><li>Building Community Engagement (15:56)</li><li>Importance of Feedback (18:26)</li><li>AI Integration in Mooncake Labs (21:29)</li><li>Innovation in data interaction (23:49)</li><li>PostgreSQL and startup growth (28:41)</li><li>Core component of business strategy (31:20)</li><li>The Origin of the name Mooncake Labs (34:12)</li><li>Upcoming Product Release (38:40)</li><li>Connecting with Mooncake Labs and Parting Thoughts (42:49)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>245: The Future of Data: Postgres, Iceberg, and Operational Analytics with Pranav Aurora of Mooncake Labs</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, the guys chat with Pranav Aurora, Co-Founder of Mooncake Labs. Pranav shares his innovative approach to simplifying data infrastructure by bridging Postgres and Iceberg technologies. He also discusses his journey from Single Store to launching a startup that aims to solve real-world data challenges, focusing on creating a seamless, developer-friendly extension that allows businesses to easily sync row and column store tables with minimal configuration. The conversation explores the complexities of modern data stacks, the importance of first-principle thinking, and how startups can leverage AI and community feedback to build transformative technologies. Key takeaways include Mooncake&apos;s mission to provide operational analytics with just a few lines of SQL, the potential of Postgres extensions, the value of solving genuine pain points for developers and data teams, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, the guys chat with Pranav Aurora, Co-Founder of Mooncake Labs. Pranav shares his innovative approach to simplifying data infrastructure by bridging Postgres and Iceberg technologies. He also discusses his journey from Single Store to launching a startup that aims to solve real-world data challenges, focusing on creating a seamless, developer-friendly extension that allows businesses to easily sync row and column store tables with minimal configuration. The conversation explores the complexities of modern data stacks, the importance of first-principle thinking, and how startups can leverage AI and community feedback to build transformative technologies. Key takeaways include Mooncake&apos;s mission to provide operational analytics with just a few lines of SQL, the potential of Postgres extensions, the value of solving genuine pain points for developers and data teams, and more. </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 21 May 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Background of ClickHouse (1:14)</li><li>PostgreSQL Data Replication Tool (3:19)</li><li>Emerging Technologies Observations (7:25)</li><li>Observability and Market Dynamics (11:26)</li><li>Product Development Challenges (12:39)</li><li>Challenges with PostgreSQL Performance (15:30)</li><li>Philosophy of Open Source (18:01)</li><li>Open Source Advantages (22:56)</li><li>Simplified Stack Vision (24:48)</li><li>End-to-End Use Cases (28:13)</li><li>Migration Strategies (30:21)</li><li>Final Thoughts and Takeaways (33:29)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Tue, 20 May 2025 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Background of ClickHouse (1:14)</li><li>PostgreSQL Data Replication Tool (3:19)</li><li>Emerging Technologies Observations (7:25)</li><li>Observability and Market Dynamics (11:26)</li><li>Product Development Challenges (12:39)</li><li>Challenges with PostgreSQL Performance (15:30)</li><li>Philosophy of Open Source (18:01)</li><li>Open Source Advantages (22:56)</li><li>Simplified Stack Vision (24:48)</li><li>End-to-End Use Cases (28:13)</li><li>Migration Strategies (30:21)</li><li>Final Thoughts and Takeaways (33:29)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>244: Postgres to ClickHouse: Simplifying the Modern Data Stack with Aaron Katz &amp; Sai Krishna Srirampur</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, the guys are chatting with Aaron Katz &amp; Sai Krishna Srirampur live at Data Council in Oakland, California. Aaron and Sai discuss the evolution of database technologies, focusing on transitioning from traditional transactional databases like Postgres to purpose-built analytical databases like ClickHouse. They explore the challenges of using Postgres for analytics, the benefits of open-source technologies, and the importance of simplifying database infrastructure. Sai shares his background with CITUS Data and Peer DB, highlighting the motivation behind creating ClickPipes, a native ingestion service for ClickHouse Cloud. Aaron discusses the company&apos;s journey, the open-source strategy, and the diverse use cases for ClickHouse, including observability, data warehousing, and real-time analytics. The conversation emphasizes the need for efficient data migration, native querying capabilities, the potential of combining Postgres and ClickHouse to create a more streamlined data stack, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, the guys are chatting with Aaron Katz &amp; Sai Krishna Srirampur live at Data Council in Oakland, California. Aaron and Sai discuss the evolution of database technologies, focusing on transitioning from traditional transactional databases like Postgres to purpose-built analytical databases like ClickHouse. They explore the challenges of using Postgres for analytics, the benefits of open-source technologies, and the importance of simplifying database infrastructure. Sai shares his background with CITUS Data and Peer DB, highlighting the motivation behind creating ClickPipes, a native ingestion service for ClickHouse Cloud. Aaron discusses the company&apos;s journey, the open-source strategy, and the diverse use cases for ClickHouse, including observability, data warehousing, and real-time analytics. The conversation emphasizes the need for efficient data migration, native querying capabilities, the potential of combining Postgres and ClickHouse to create a more streamlined data stack, and more. </itunes:subtitle>
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      <pubDate>Mon, 19 May 2025 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Viktor's Background and Journey in Data (1:20)</li><li>Evolution of Data Architecture (4:41)</li><li>The Lakehouse Concept (7:12)</li><li>Open Source Innovation (11:05)</li><li>Data Production and Decentralization (15:06)</li><li>Governance in Decentralized Systems (18:53)</li><li>Data Economy and Monetization (21:15)</li><li>Security Concerns in Data Processing (24:21)</li><li>Impact on Data Consumers (27:37)</li><li>Compaction Issues in Data Tables (29:39)</li><li>Open Source Lake Keeper Tool and Parting Thoughts (33:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Fri, 16 May 2025 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Viktor's Background and Journey in Data (1:20)</li><li>Evolution of Data Architecture (4:41)</li><li>The Lakehouse Concept (7:12)</li><li>Open Source Innovation (11:05)</li><li>Data Production and Decentralization (15:06)</li><li>Governance in Decentralized Systems (18:53)</li><li>Data Economy and Monetization (21:15)</li><li>Security Concerns in Data Processing (24:21)</li><li>Impact on Data Consumers (27:37)</li><li>Compaction Issues in Data Tables (29:39)</li><li>Open Source Lake Keeper Tool and Parting Thoughts (33:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>243: The Data Economy: Turning Information into a Tradable Commodity with Viktor Kessler of Vakamo</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, the crew brings you another conversation live from Data Council in Oakland, California. In this episode, Viktor Kessler from Vakamo explores the evolution of data architecture from rigid warehouses to flexible Lakehouse systems. Powered by Apache Iceberg, this new approach enables seamless data sharing, governance, and potential monetization. Viktor discusses how open-source innovation is transforming data management, highlighting the shift towards treating data as a product and the emerging potential for AI-driven data exchanges. The conversation provides insights into the future of decentralized, adaptable data infrastructure and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, the crew brings you another conversation live from Data Council in Oakland, California. In this episode, Viktor Kessler from Vakamo explores the evolution of data architecture from rigid warehouses to flexible Lakehouse systems. Powered by Apache Iceberg, this new approach enables seamless data sharing, governance, and potential monetization. Viktor discusses how open-source innovation is transforming data management, highlighting the shift towards treating data as a product and the emerging potential for AI-driven data exchanges. The conversation provides insights into the future of decentralized, adaptable data infrastructure and so much more. </itunes:subtitle>
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      <pubDate>Thu, 15 May 2025 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Governance, Flexibility, and the Future of Enterprise Data with Viktor Kessler of Vakamo</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ruben's Background (1:14)</li><li>Defining Operational Data (5:20)</li><li>The Convergence of Operational and Analytical Data (10:53)</li><li>Evolution from Data Warehousing to Fulfillment Centers (13:19)</li><li>Challenges of API Integration (18:25)</li><li>Understanding Data Complexity (22:18)</li><li>Database vs. API Calls (25:32)</li><li>Real-Time Database Views (28:15)</li><li>The Evolution of Data Technology (32:37)</li><li>Future Topics on PostgreSQL Scaling and Parting Thoughts (34:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 14 May 2025 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ruben's Background (1:14)</li><li>Defining Operational Data (5:20)</li><li>The Convergence of Operational and Analytical Data (10:53)</li><li>Evolution from Data Warehousing to Fulfillment Centers (13:19)</li><li>Challenges of API Integration (18:25)</li><li>Understanding Data Complexity (22:18)</li><li>Database vs. API Calls (25:32)</li><li>Real-Time Database Views (28:15)</li><li>The Evolution of Data Technology (32:37)</li><li>Future Topics on PostgreSQL Scaling and Parting Thoughts (34:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>242: The Data Convergence: How Operational and Analytical Data Are Merging with Ruben Burdin of Stacksync</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, the crew records live from Data Council in Oakland, California, as they welcome Ruben Burdin, Founder and CEO of StackSync.Ruben explores the emerging convergence of operational and analytical data, revealing how modern technologies are breaking down traditional data system barriers. The key insight is that businesses can now create more efficient data infrastructures through two-way synchronization, enabling seamless integration between different databases without vendor lock-in. By leveraging a centralized database approach, companies can build faster, more responsive internal tools and transform their data management from slow, siloed processes to real-time, interconnected ecosystems. Other topics include the evolving data infrastructure, practical use cases of integrating systems like Salesforce and Postgres for real-time data management, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, the crew records live from Data Council in Oakland, California, as they welcome Ruben Burdin, Founder and CEO of StackSync.Ruben explores the emerging convergence of operational and analytical data, revealing how modern technologies are breaking down traditional data system barriers. The key insight is that businesses can now create more efficient data infrastructures through two-way synchronization, enabling seamless integration between different databases without vendor lock-in. By leveraging a centralized database approach, companies can build faster, more responsive internal tools and transform their data management from slow, siloed processes to real-time, interconnected ecosystems. Other topics include the evolving data infrastructure, practical use cases of integrating systems like Salesforce and Postgres for real-time data management, and more. </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Tue, 13 May 2025 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Two-Way Sync: The Future of Database Communication with Ruben Burdin of Stacksync</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation from Data Council with Ruben Burdin of Stacksync.</itunes:summary>
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      <title>241: Marketing Meets Data: Measuring Impact and Driving Results with Pedram Navid of Dagster Labs</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pedram’s Background and Journey in Data (1:13)</li><li>Marketing vs. Data Engineering (2:30)</li><li>Understanding Marketing Pressures (4:16)</li><li>Attribution Models and Accountability (8:13)</li><li>Balancing Marketing and Team Management (12:25)</li><li>Introduction to Dagster Components (15:00)</li><li>AI Integration with Data Engineering (19:05)</li><li>Challenges in Data Support (22:05)</li><li>Self-Service Data Access (26:07)</li><li>AI in Data Management (28:25)</li><li>Organizing Data in Technical Teams (31:25)</li><li>Challenges in Real-Time Data (33:28)</li><li>Final Thoughts and Takeaways (37:01)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 12 May 2025 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pedram’s Background and Journey in Data (1:13)</li><li>Marketing vs. Data Engineering (2:30)</li><li>Understanding Marketing Pressures (4:16)</li><li>Attribution Models and Accountability (8:13)</li><li>Balancing Marketing and Team Management (12:25)</li><li>Introduction to Dagster Components (15:00)</li><li>AI Integration with Data Engineering (19:05)</li><li>Challenges in Data Support (22:05)</li><li>Self-Service Data Access (26:07)</li><li>AI in Data Management (28:25)</li><li>Organizing Data in Technical Teams (31:25)</li><li>Challenges in Real-Time Data (33:28)</li><li>Final Thoughts and Takeaways (37:01)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>241: Marketing Meets Data: Measuring Impact and Driving Results with Pedram Navid of Dagster Labs</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, the crew chats with Pedram Navid live from Data Council in Oakland, California. Pedram is a return guest to the show and is Chief Dashboard Officer at Dagster Labs. During the conversation, the group discusses Pedram&apos;s career shift from data engineering to marketing leadership, emphasizing the integration of data in crafting effective marketing strategies. Pedram highlights the importance of collaboration between marketing, product, and sales teams to create cohesive narratives. The conversation also covers the challenges of marketing in silos, the impact of AI tools, the need for self-service data capabilities to enhance productivity and drive business success, and so much more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, the crew chats with Pedram Navid live from Data Council in Oakland, California. Pedram is a return guest to the show and is Chief Dashboard Officer at Dagster Labs. During the conversation, the group discusses Pedram&apos;s career shift from data engineering to marketing leadership, emphasizing the integration of data in crafting effective marketing strategies. Pedram highlights the importance of collaboration between marketing, product, and sales teams to create cohesive narratives. The conversation also covers the challenges of marketing in silos, the impact of AI tools, the need for self-service data capabilities to enhance productivity and drive business success, and so much more.</itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Fri, 9 May 2025 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Shifting Gears: From Code to Marketing in the Data World with Pedram Navid of Dagster Labs</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Pedram Navid of Dagster Labs. </itunes:summary>
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      <title>240: Data Council Insights from a Waymo: Postgres and the Future of the Data Stack</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Recording from a Waymo (0:54)</li><li>Future of Data Technology (2:45)</li><li>AI Integration in Data Work (4:20)</li><li>Speeding Up Data Experiences (5:29)</li><li>Snapshot Conversations with Founders (9:52)</li><li>Diversity of Perspectives on Postgres (12:37)</li><li>Cultural Significance of Database Mascots (14:09)</li><li>Incubation and Success of Open Source Projects (16:43)</li><li>Final Thoughts and Takeaways (17:34)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 7 May 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Recording from a Waymo (0:54)</li><li>Future of Data Technology (2:45)</li><li>AI Integration in Data Work (4:20)</li><li>Speeding Up Data Experiences (5:29)</li><li>Snapshot Conversations with Founders (9:52)</li><li>Diversity of Perspectives on Postgres (12:37)</li><li>Cultural Significance of Database Mascots (14:09)</li><li>Incubation and Success of Open Source Projects (16:43)</li><li>Final Thoughts and Takeaways (17:34)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>240: Data Council Insights from a Waymo: Postgres and the Future of the Data Stack</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, it’s a first for the show as the conversation between producer Brooks Patterson and Co-Host John Wessel was recorded in a Waymo on the way to the airport from Data Council in Oakland, California. Join the guys on the road as they discuss their experiences at the Data Council focusing on the evolving landscape of data technology and the impact of AI on data stacks. Key topics include the enduring significance of PostgreSQL, the role of open source in innovation, and the importance of user experience in data interfaces. They also highlight diverse insights from founders, ranging from seasoned executives to first-time entrepreneurs, showcasing the dynamic nature of the data industry. Come along for the ride on this week’s episode.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, it’s a first for the show as the conversation between producer Brooks Patterson and Co-Host John Wessel was recorded in a Waymo on the way to the airport from Data Council in Oakland, California. Join the guys on the road as they discuss their experiences at the Data Council focusing on the evolving landscape of data technology and the impact of AI on data stacks. Key topics include the enduring significance of PostgreSQL, the role of open source in innovation, and the importance of user experience in data interfaces. They also highlight diverse insights from founders, ranging from seasoned executives to first-time entrepreneurs, showcasing the dynamic nature of the data industry. Come along for the ride on this week’s episode.</itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 5 May 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
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      <itunes:title>The PRQL: Data Council Debrief</itunes:title>
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      <itunes:summary>In this bonus episode, Brooks and John preview their car-ride conversation as they debrief from Data Council 2025. </itunes:summary>
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      <title>239: How AI is Transforming Product Development with Thomas Kuckoff, Senior Product Manager at Omron Automation</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Introduction of Panelists (2:15)</li><li>Understanding Product Development (4:42)</li><li>Three Stages of Product Development (7:53)</li><li>Collaboration Across Teams (11:20)</li><li>Understanding Customer Pain Points (12:31)</li><li>Designers, Explainers, and Sustainers Framework (15:17)</li><li>AI in Product Development (18:09)</li><li>Using AI Responsibly (22:53)</li><li>AI in Sustaining Product Development (24:57)</li><li>Brand Storytelling with AI (27:40)</li><li>Tooling and AI Implementation (29:29)</li><li>Pressure for AI Integration (34:05)</li><li>The Importance of AI in Product Development (38:28)</li><li>Contextual Advantage of AI (42:52)</li><li>Evolution of Prototyping (46:11)</li><li>The Balance of Speed and Critical Thinking (48:16)</li><li>Understanding AI in Product Development (51:08)</li><li>Navigating the Messy Process of Product Development (53:14)</li><li>Final thoughts and Advice (56:32)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 30 Apr 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Introduction of Panelists (2:15)</li><li>Understanding Product Development (4:42)</li><li>Three Stages of Product Development (7:53)</li><li>Collaboration Across Teams (11:20)</li><li>Understanding Customer Pain Points (12:31)</li><li>Designers, Explainers, and Sustainers Framework (15:17)</li><li>AI in Product Development (18:09)</li><li>Using AI Responsibly (22:53)</li><li>AI in Sustaining Product Development (24:57)</li><li>Brand Storytelling with AI (27:40)</li><li>Tooling and AI Implementation (29:29)</li><li>Pressure for AI Integration (34:05)</li><li>The Importance of AI in Product Development (38:28)</li><li>Contextual Advantage of AI (42:52)</li><li>Evolution of Prototyping (46:11)</li><li>The Balance of Speed and Critical Thinking (48:16)</li><li>Understanding AI in Product Development (51:08)</li><li>Navigating the Messy Process of Product Development (53:14)</li><li>Final thoughts and Advice (56:32)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>239: How AI is Transforming Product Development with Thomas Kuckoff, Senior Product Manager at Omron Automation</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/be457c03-46fc-41ea-80a2-70071f7b9cfa/e1e12c71-b8a7-4bbf-8504-bb9262109b31/3000x3000/audio-20cover.jpg?aid=rss_feed"/>
      <itunes:duration>00:57:16</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, the episode was recorded in front of a live audience as Brooks Patterson, Eric Dodds, and Chandler Van De Water from the Rudderstack team join Thomas Kuckoff of Omron Automation to explore the intricacies of product development and the transformative role of AI. Eric emphasizes the importance of understanding customer pain points and the complexities of coordinating product development teams. Thomas discusses the stages of product development in hardware and industrial automation, stressing a commercial mindset. Chandler highlights the significance of design and continuous customer feedback. The conversation also touches on AI&apos;s potential to streamline processes and enhance product development, setting the stage for future discussions on AI&apos;s impact. Don’t miss this great conversation!</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, the episode was recorded in front of a live audience as Brooks Patterson, Eric Dodds, and Chandler Van De Water from the Rudderstack team join Thomas Kuckoff of Omron Automation to explore the intricacies of product development and the transformative role of AI. Eric emphasizes the importance of understanding customer pain points and the complexities of coordinating product development teams. Thomas discusses the stages of product development in hardware and industrial automation, stressing a commercial mindset. Chandler highlights the significance of design and continuous customer feedback. The conversation also touches on AI&apos;s potential to streamline processes and enhance product development, setting the stage for future discussions on AI&apos;s impact. Don’t miss this great conversation!</itunes:subtitle>
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      <title>238: What Every Developer Needs to Know About Microservices in 2025 with Mark Fussell, Founder &amp; CEO at Diagrid</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Mark’s Background and Journey in Data (1:08)</li><li>Mark’s Time at Microsoft (5:33)</li><li>Internal Adoption of Azure (9:20)</li><li>Understanding Pain Points (11:06)</li><li>Complexity in Software Development (13:15)</li><li>Microservices Architecture Overview (17:15)</li><li>Microservices vs. Monolith (22:08)</li><li>Modernizing Legacy Applications (24:39)</li><li>Dependency Management with Dapr (29:43)</li><li>Infrastructure as Code (33:04)</li><li>AI's Rapid Evolution and Vendor Changes (37:27)</li><li>Language Models in Application Development (39:05)</li><li>AI in Creative Applications (42:59)</li><li>The Future of Backend Development (47:22)</li><li>Streamlining Development Processes (49:29)</li><li>Dapr as an Open Source Solution (51:11)</li><li>Getting Started with Dapr and Parting Thoughts (51:39)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 23 Apr 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Mark’s Background and Journey in Data (1:08)</li><li>Mark’s Time at Microsoft (5:33)</li><li>Internal Adoption of Azure (9:20)</li><li>Understanding Pain Points (11:06)</li><li>Complexity in Software Development (13:15)</li><li>Microservices Architecture Overview (17:15)</li><li>Microservices vs. Monolith (22:08)</li><li>Modernizing Legacy Applications (24:39)</li><li>Dependency Management with Dapr (29:43)</li><li>Infrastructure as Code (33:04)</li><li>AI's Rapid Evolution and Vendor Changes (37:27)</li><li>Language Models in Application Development (39:05)</li><li>AI in Creative Applications (42:59)</li><li>The Future of Backend Development (47:22)</li><li>Streamlining Development Processes (49:29)</li><li>Dapr as an Open Source Solution (51:11)</li><li>Getting Started with Dapr and Parting Thoughts (51:39)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>238: What Every Developer Needs to Know About Microservices in 2025 with Mark Fussell, Founder &amp; CEO at Diagrid</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome microservices expert Mark Fussell. Mark is Founder &amp; CEO at Diagrid and Co-Creator of Dapr. In this conversation, the group explores the evolution of software architectures, focusing on the shift from monolithic to microservices systems. With over 20 years at Microsoft, Mark shares insights from his work on projects like Dapr and Azure Service Fabric. The discussion also covers the challenges developers face today, the importance of leveraging existing technologies to avoid reinventing the wheel, and the role of AI in enhancing productivity. Mark highlights how tools like Dapr simplify microservices development and emphasizes the need for continuous innovation in software architecture. Don’t miss this great conversation! </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome microservices expert Mark Fussell. Mark is Founder &amp; CEO at Diagrid and Co-Creator of Dapr. In this conversation, the group explores the evolution of software architectures, focusing on the shift from monolithic to microservices systems. With over 20 years at Microsoft, Mark shares insights from his work on projects like Dapr and Azure Service Fabric. The discussion also covers the challenges developers face today, the importance of leveraging existing technologies to avoid reinventing the wheel, and the role of AI in enhancing productivity. Mark highlights how tools like Dapr simplify microservices development and emphasizes the need for continuous innovation in software architecture. Don’t miss this great conversation! </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 21 Apr 2025 08:30:00 +0000</pubDate>
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      <link>https://datastackshow.com</link>
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      <itunes:title>The PRQL: From Monoliths to Microservices with Mark Fussell, Founder &amp; CEO at Diagrid</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with From Monoliths to Microservices with Mark Fussell of Diagrid.</itunes:summary>
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      <title>237: Startups, Sales, and Spreadsheets: How a Real Estate Developer Built an AI Company</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Willz’s Background and Journey (1:25)</li><li>Discussing Real Estate Data Challenges (2:58)</li><li>Inspiration for Software Creation (4:05)</li><li>From Spreadsheet to Software (9:04)</li><li>Challenges in Ownership Identification (12:24)</li><li>Company Acquisition (16:00)</li><li>Pitching Investors with Data Tools (18:46)</li><li>Lessons Learned from Selling the Company (21:45)</li><li>The Journey to Ready (26:55)</li><li>Sales Development Representatives Explained (29:22)</li><li>Role of Data in Sales (33:30)</li><li>Real-Time Dashboards (36:54)</li><li>Human-AI Collaboration (39:53)</li><li>Human Touch in Data Compilation (44:02)</li><li>Paradigm Shift in Data Access (46:19)</li><li>Frustrations with Sales Cycles (48:22)</li><li>Value of Genuine Conversations (55:23)</li><li>Optimizing Internal Tools (56:23)</li><li>Future of Data Interfaces and Parting Thoughts (57:21)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 16 Apr 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Willz’s Background and Journey (1:25)</li><li>Discussing Real Estate Data Challenges (2:58)</li><li>Inspiration for Software Creation (4:05)</li><li>From Spreadsheet to Software (9:04)</li><li>Challenges in Ownership Identification (12:24)</li><li>Company Acquisition (16:00)</li><li>Pitching Investors with Data Tools (18:46)</li><li>Lessons Learned from Selling the Company (21:45)</li><li>The Journey to Ready (26:55)</li><li>Sales Development Representatives Explained (29:22)</li><li>Role of Data in Sales (33:30)</li><li>Real-Time Dashboards (36:54)</li><li>Human-AI Collaboration (39:53)</li><li>Human Touch in Data Compilation (44:02)</li><li>Paradigm Shift in Data Access (46:19)</li><li>Frustrations with Sales Cycles (48:22)</li><li>Value of Genuine Conversations (55:23)</li><li>Optimizing Internal Tools (56:23)</li><li>Future of Data Interfaces and Parting Thoughts (57:21)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>237: Startups, Sales, and Spreadsheets: How a Real Estate Developer Built an AI Company</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>00:59:17</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Willz Tolbert, Co-Founder &amp; COO at Readyy. Willz shares his entrepreneurial journey from real estate brokerage to tech innovation, discussing his experiences building MapSheet and his current AI-powered startup, Readyy.ai. Listeners will learn how AI is transforming sales research, providing insights into more efficient account preparation, and bridging the gap between technological automation and human expertise in the sales process. The conversation emphasizes creating centralized data repositories for better customer engagement and highlights the need for innovative solutions to streamline data management. The group also provides valuable insights into the intersection of real estate and technology, showcasing the potential for transformative industry practices and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Willz Tolbert, Co-Founder &amp; COO at Readyy. Willz shares his entrepreneurial journey from real estate brokerage to tech innovation, discussing his experiences building MapSheet and his current AI-powered startup, Readyy.ai. Listeners will learn how AI is transforming sales research, providing insights into more efficient account preparation, and bridging the gap between technological automation and human expertise in the sales process. The conversation emphasizes creating centralized data repositories for better customer engagement and highlights the need for innovative solutions to streamline data management. The group also provides valuable insights into the intersection of real estate and technology, showcasing the potential for transformative industry practices and so much more. </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 14 Apr 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
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      <itunes:title>The PRQL: Willz Tolbert’s Journey Through Real Estate and AI</itunes:title>
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      <itunes:duration>00:03:01</itunes:duration>
      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Willz Tolbert of Readyy.ai. </itunes:summary>
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      <title>236: Ringing Out the Old: AI&apos;s Role in Redefining Data Teams, Tools, and Business Models</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The Impact of AI (1:25)</li><li>Historical Context of Technology (2:31)</li><li>Pre-existing Infrastructure for Change (4:42)</li><li>AI as a Personal Assistant (7:10)</li><li>Future of Company Roles (9:13)</li><li>Managing Teams in a Dystopian AI Future (12:31)</li><li>Business Architecture Choices (15:52)</li><li>Integration Tool Usage (18:07)</li><li>AI's Impact on Data Roles (21:53)</li><li>AI as an Interface (24:04)</li><li>Trust in AI vs. SQL (27:12)</li><li>Snowflake's Acquisition of Dataflow (29:54)</li><li>Regression to the Mean Concept (33:49)</li><li>AI's Role in Data Platforms (37:04)</li><li>User Experience in Data Tools (44:41)</li><li>Future of Data Tools (46:57)</li><li>Environment Variable Setup (51:10)</li><li>Future of Software Implementation and Parting Thoughts (52:10)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 9 Apr 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The Impact of AI (1:25)</li><li>Historical Context of Technology (2:31)</li><li>Pre-existing Infrastructure for Change (4:42)</li><li>AI as a Personal Assistant (7:10)</li><li>Future of Company Roles (9:13)</li><li>Managing Teams in a Dystopian AI Future (12:31)</li><li>Business Architecture Choices (15:52)</li><li>Integration Tool Usage (18:07)</li><li>AI's Impact on Data Roles (21:53)</li><li>AI as an Interface (24:04)</li><li>Trust in AI vs. SQL (27:12)</li><li>Snowflake's Acquisition of Dataflow (29:54)</li><li>Regression to the Mean Concept (33:49)</li><li>AI's Role in Data Platforms (37:04)</li><li>User Experience in Data Tools (44:41)</li><li>Future of Data Tools (46:57)</li><li>Environment Variable Setup (51:10)</li><li>Future of Software Implementation and Parting Thoughts (52:10)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>236: Ringing Out the Old: AI&apos;s Role in Redefining Data Teams, Tools, and Business Models</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>00:53:39</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and John explore the transformative impact of artificial intelligence (AI) on technology and business. They discuss AI&apos;s rapid advancements, drawing parallels to historical shifts like e-commerce. The conversation explores the future of roles within companies, particularly in data management and SaaS products, and considers the broader implications for business operations. They also touch on the changing landscape of data roles, the accessibility of AI-driven services, the potential for AI to democratize high-value services and reshape industries, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John explore the transformative impact of artificial intelligence (AI) on technology and business. They discuss AI&apos;s rapid advancements, drawing parallels to historical shifts like e-commerce. The conversation explores the future of roles within companies, particularly in data management and SaaS products, and considers the broader implications for business operations. They also touch on the changing landscape of data roles, the accessibility of AI-driven services, the potential for AI to democratize high-value services and reshape industries, and more. </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 7 Apr 2025 08:30:00 +0000</pubDate>
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      <link>https://datastackshow.com</link>
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      <itunes:title>The PRQL: AI, SaaS, and the End of Job Titles with Eric Dodds and John Wessel</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pete's Career Overview (1:00)</li><li>AI and Data Engineering Discussion (2:05)</li><li>Themes of Data Council (4:19)</li><li>High-Frequency Trading Insights (8:04)</li><li>San Francisco's Unique Advantages (10:27)</li><li>Data Council Conference Preview (13:23)</li><li>The Magic of In-Person Events (15:45)</li><li>Collapsing Batch and Streaming Systems (19:47)</li><li>Leveraging Local Hardware for Data Processing (22:07)</li><li>Future of Blockchain in Computing (23:57)</li><li>Intersection of AI and Data Management (26:47)</li><li>Advice for AI Startup Founders (28:44)</li><li>Blurring Lines Between Data Roles (32:46)</li><li>The Evolving Role of Engineers (36:56)</li><li>Discount Code for Data Council and Parting Thoughts (38:23)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome back Pete Soderling, Founder of Zero Prime Ventures and Founder of Data Council, to the show. During the conversation, the group discusses Pete&apos;s career journey, from the first dot-com bubble in New York City to his transition to the Bay Area. The discussion highlights the significance of data culture, the rise of AI, and the current tech ecosystem, particularly in San Francisco. Pete emphasizes the evolving role of data engineering in the AI era and the importance of robust data management. They also preview the upcoming Data Council conference, focusing on data and AI integration and looking ahead at other notable speakers and topics for the conference. Don’t miss the special DataStack show coupon for money off your ticket to Data Council.</itunes:summary>
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      <pubDate>Mon, 31 Mar 2025 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>AI in Transcription Services (1:11)</li><li>The Future of AI Companies (5:09)</li><li>Potential Risks of AI Tools (8:57)</li><li>Learning vs. Dependency in Programming (10:17)</li><li>The Journey of a Data Analyst (12:07)</li><li>AI and Coding Skills (14:06)</li><li>Abstraction in Data Tools (16:59)</li><li>Data Design and AI (19:07)</li><li>User Experience vs. AI Automation (22:10)</li><li>AGI and Data Mesh (24:36)</li><li>Blank Screen Interaction Challenges (27:10)</li><li>Understanding User Value in Data Platforms (32:22)</li><li>AI's Role in Simplifying Data Interaction (34:04)</li><li>Final Thought and Takeaways (35:05)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 26 Mar 2025 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>AI in Transcription Services (1:11)</li><li>The Future of AI Companies (5:09)</li><li>Potential Risks of AI Tools (8:57)</li><li>Learning vs. Dependency in Programming (10:17)</li><li>The Journey of a Data Analyst (12:07)</li><li>AI and Coding Skills (14:06)</li><li>Abstraction in Data Tools (16:59)</li><li>Data Design and AI (19:07)</li><li>User Experience vs. AI Automation (22:10)</li><li>AGI and Data Mesh (24:36)</li><li>Blank Screen Interaction Challenges (27:10)</li><li>Understanding User Value in Data Platforms (32:22)</li><li>AI's Role in Simplifying Data Interaction (34:04)</li><li>Final Thought and Takeaways (35:05)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>234: The Cynical Data Guy on AI, Data Tools, and the Future of Coding</itunes:title>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The group discusses the transformative impact of artificial intelligence (AI) on data work. They dig into AI-driven transcription services, code generation, and the evolving landscape of AI tools. The conversation also highlights the potential failures of companies relying on outdated models, the importance of maintaining a deep understanding of data systems, balancing AI efficiency with foundational knowledge in data engineering, and so much more. </itunes:subtitle>
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      <pubDate>Mon, 24 Mar 2025 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Solomon’s Background and Journey in Data (0:38)</li><li>The Importance of a Triple Threat Data Person (5:14)</li><li>Sports Sponsorship Analysis at Nielsen (7:31)</li><li>Challenges of Implementing AI in Business (11:09)</li><li>Understanding Data Delivery Models (14:18)</li><li>Innovating Data Delivery (17:38)</li><li>Modern Data Sharing Framework (19:09)</li><li>Account Management in Data Sharing (23:43)</li><li>Data Delivery Systems and Skill Sets (26:08)</li><li>Practical Steps for Monetizing Data (29:02)</li><li>Building Trust Through Branding (36:51)</li><li>LinkedIn Personal Branding Tips (40:54)</li><li>Mastering the Basics (44:16)</li><li>Professional Development in Data (48:18)</li><li>Deep Technical Skills (53:18)</li><li>Active and Outcome-Focused Approach (55:25)</li><li>Finding Top Data People and Parting Thoughts (56:44)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 19 Mar 2025 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Solomon’s Background and Journey in Data (0:38)</li><li>The Importance of a Triple Threat Data Person (5:14)</li><li>Sports Sponsorship Analysis at Nielsen (7:31)</li><li>Challenges of Implementing AI in Business (11:09)</li><li>Understanding Data Delivery Models (14:18)</li><li>Innovating Data Delivery (17:38)</li><li>Modern Data Sharing Framework (19:09)</li><li>Account Management in Data Sharing (23:43)</li><li>Data Delivery Systems and Skill Sets (26:08)</li><li>Practical Steps for Monetizing Data (29:02)</li><li>Building Trust Through Branding (36:51)</li><li>LinkedIn Personal Branding Tips (40:54)</li><li>Mastering the Basics (44:16)</li><li>Professional Development in Data (48:18)</li><li>Deep Technical Skills (53:18)</li><li>Active and Outcome-Focused Approach (55:25)</li><li>Finding Top Data People and Parting Thoughts (56:44)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>233: The Power of a Triple Threat in Data: Business, Engineering, and Strategy with Solomon Kahn of Delivery Layer and Top Data People</itunes:title>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Solomon Kahn, Founder &amp; CEO of Delivery Layer and Founder &amp; Chief Data Officer at Top Data People. Solomon discusses his career journey from startups to large corporations, emphasizing the importance of being a &quot;triple threat&quot; in data—proficient in statistics, programming, and business. He shares insights from his work at Nielsen, particularly in sports sponsorship analytics. The conversation covers client-facing reporting, customer analytics, and professional development. Solomon highlights the necessity of mastering foundational skills, building executive relationships, actively pursuing business improvements through data, what it takes to become a LinkedIn influencer, and more. </itunes:subtitle>
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      <pubDate>Mon, 17 Mar 2025 08:30:00 +0000</pubDate>
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      <title>232: Building a Business Solo: Streaming Data, Synthetic Testing, and Startup Lessons with Michael Drogalis of ShadowTraffic.io</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Michael's Background and Journey in Data (0:24)</li><li>Synthetic Data Challenges (1:49)</li><li>Open Source Project Development (4:20)</li><li>Founding Distributed Masonry (5:56)</li><li>Acquisition by Confluent (7:27)</li><li>Introduction to Shadow Traffic (10:57)</li><li>Observations on Streaming Data (12:33)</li><li>Importance of Timestamps in Testing (16:22)</li><li>Customer Workflows with Shadow Traffic (19:09)</li><li>Artificial Intelligence in Data Generation (22:13)</li><li>Advantages of Domain-Specific Language (DSL) (25:14)</li><li>Solopreneurship Insights (26:53)</li><li>Exit Criteria for Startup Focus (30:12)</li><li>The Feedback Loop (33:51)</li><li>Balancing Customer Needs and Vision (35:02)</li><li>Navigating Administrative Tasks (38:15)</li><li>Expected Value Mindset (41:00)</li><li>Solopreneur Efficiency (43:01)</li><li>Maximizing Velocity (46:06)</li><li>Final Thoughts and Takeaways (47:34)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 12 Mar 2025 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Michael's Background and Journey in Data (0:24)</li><li>Synthetic Data Challenges (1:49)</li><li>Open Source Project Development (4:20)</li><li>Founding Distributed Masonry (5:56)</li><li>Acquisition by Confluent (7:27)</li><li>Introduction to Shadow Traffic (10:57)</li><li>Observations on Streaming Data (12:33)</li><li>Importance of Timestamps in Testing (16:22)</li><li>Customer Workflows with Shadow Traffic (19:09)</li><li>Artificial Intelligence in Data Generation (22:13)</li><li>Advantages of Domain-Specific Language (DSL) (25:14)</li><li>Solopreneurship Insights (26:53)</li><li>Exit Criteria for Startup Focus (30:12)</li><li>The Feedback Loop (33:51)</li><li>Balancing Customer Needs and Vision (35:02)</li><li>Navigating Administrative Tasks (38:15)</li><li>Expected Value Mindset (41:00)</li><li>Solopreneur Efficiency (43:01)</li><li>Maximizing Velocity (46:06)</li><li>Final Thoughts and Takeaways (47:34)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>232: Building a Business Solo: Streaming Data, Synthetic Testing, and Startup Lessons with Michael Drogalis of ShadowTraffic.io</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Michael Drogalis, Founder of shadwotraffic.io. Michael shares his journey in data, focusing on distributed systems and streaming data. He discusses his background as a software engineer, his work with open-source projects, and founding Distributed Masonry, which was acquired by Confluent. At Confluent, Michael contributed to stream processing technologies like Kafka Streams and KSQL. The conversation covers solopreneurship, synthetic data challenges, and the evolution of streaming technologies, offering valuable insights into innovation and entrepreneurship in the tech industry. Don’t miss it!</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Michael Drogalis, Founder of shadwotraffic.io. Michael shares his journey in data, focusing on distributed systems and streaming data. He discusses his background as a software engineer, his work with open-source projects, and founding Distributed Masonry, which was acquired by Confluent. At Confluent, Michael contributed to stream processing technologies like Kafka Streams and KSQL. The conversation covers solopreneurship, synthetic data challenges, and the evolution of streaming technologies, offering valuable insights into innovation and entrepreneurship in the tech industry. Don’t miss it!</itunes:subtitle>
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      <title>The PRQL: Solopreneurship, Streaming Data, and Synthetic Testing with Michael Drogalis of ShadowTraffic.io</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 10 Mar 2025 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: Solopreneurship, Streaming Data, and Synthetic Testing with Michael Drogalis of ShadowTraffic.io</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Michael Drogalis of ShadowTraffic.io.</itunes:summary>
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      <title>231: From Pre-Med to Product Strategy: Eric Dodds’ Journey in Data and Startups</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Early Aspirations: Becoming a Doctor (1:09)</li><li>The Shift to Business Studies (3:54)</li><li>Father's Influence on Career Path (4:39)</li><li>Interest in Statistics and Psychology (6:47)</li><li>Networking and Early Career (10:24)</li><li>Developing a Passion for Data (12:09)</li><li>Joining a Startup Accelerator (17:30)</li><li>Data and Engagement Metrics (21:39)</li><li>Lessons on Data Fidelity (23:40)</li><li>Entrepreneurial Journey in a VC-Backed Incubator (26:15)</li><li>Software Engineering School Initiative (30:21)</li><li>Growth and Market Timing (35:08)</li><li>Post-Exit Consultancy Experience (36:36)</li><li>Finding RudderStack (38:53)  </li><li>Behavioral Data Revolution (40:44)</li><li>Advice for Aspiring Product Managers (44:20)</li><li>Understanding Customer Pain Points (46:29)</li><li>Final Thoughts and Takeaways (47:03)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 5 Mar 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Early Aspirations: Becoming a Doctor (1:09)</li><li>The Shift to Business Studies (3:54)</li><li>Father's Influence on Career Path (4:39)</li><li>Interest in Statistics and Psychology (6:47)</li><li>Networking and Early Career (10:24)</li><li>Developing a Passion for Data (12:09)</li><li>Joining a Startup Accelerator (17:30)</li><li>Data and Engagement Metrics (21:39)</li><li>Lessons on Data Fidelity (23:40)</li><li>Entrepreneurial Journey in a VC-Backed Incubator (26:15)</li><li>Software Engineering School Initiative (30:21)</li><li>Growth and Market Timing (35:08)</li><li>Post-Exit Consultancy Experience (36:36)</li><li>Finding RudderStack (38:53)  </li><li>Behavioral Data Revolution (40:44)</li><li>Advice for Aspiring Product Managers (44:20)</li><li>Understanding Customer Pain Points (46:29)</li><li>Final Thoughts and Takeaways (47:03)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>231: From Pre-Med to Product Strategy: Eric Dodds’ Journey in Data and Startups</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>00:47:37</itunes:duration>
      <itunes:summary> This week on The Data Stack Show, the tables turn as Eric takes the guest seat! Eric shares his unexpected career journey—from aspiring doctor to business and data enthusiast—shaped by an early passion for mechanics. He reflects on navigating the 2008 economic downturn while working at a marketing agency, sharpening his adaptability and networking skills. The conversation dives into working with startups and venture-backed companies, the power of understanding customer pain points, and the value of hands-on product experience. Packed with insights on data and product management, this episode is a must-listen for anyone looking to blend strategy, adaptability, and a customer-first mindset.</itunes:summary>
      <itunes:subtitle> This week on The Data Stack Show, the tables turn as Eric takes the guest seat! Eric shares his unexpected career journey—from aspiring doctor to business and data enthusiast—shaped by an early passion for mechanics. He reflects on navigating the 2008 economic downturn while working at a marketing agency, sharpening his adaptability and networking skills. The conversation dives into working with startups and venture-backed companies, the power of understanding customer pain points, and the value of hands-on product experience. Packed with insights on data and product management, this episode is a must-listen for anyone looking to blend strategy, adaptability, and a customer-first mindset.</itunes:subtitle>
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      <title>230: The Cynical Data Guy: Data Tech Debt, Data Mesh, and Dashboard Directives</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The Return of the Cynical Data Guy (0:14)</li><li>Risks of SQL Complexity (2:16)</li><li>Technical Debt in Data (4:34)</li><li>Data Mesh Critique (6:38)</li><li>Governance vs. Decentralization (9:55)</li><li>Never Let a Stakeholder Tell You They Need a Dashboard (12:05)</li><li>Dashboard vs. Table (13:34)</li><li>Organizational Dynamics in Data Requests (16:35)</li><li>AI and Prompt Writing (19:43)</li><li>Search Techniques and User Behavior (21:20)</li><li>Discussion on Code Optimization Tools (23:19)</li><li>Final Thoughts and Takeaways (24:47)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 26 Feb 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The Return of the Cynical Data Guy (0:14)</li><li>Risks of SQL Complexity (2:16)</li><li>Technical Debt in Data (4:34)</li><li>Data Mesh Critique (6:38)</li><li>Governance vs. Decentralization (9:55)</li><li>Never Let a Stakeholder Tell You They Need a Dashboard (12:05)</li><li>Dashboard vs. Table (13:34)</li><li>Organizational Dynamics in Data Requests (16:35)</li><li>AI and Prompt Writing (19:43)</li><li>Search Techniques and User Behavior (21:20)</li><li>Discussion on Code Optimization Tools (23:19)</li><li>Final Thoughts and Takeaways (24:47)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>230: The Cynical Data Guy: Data Tech Debt, Data Mesh, and Dashboard Directives</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The three go through their hot-takes lightning round as they discuss the challenges faced by data teams, focusing on technical debt and the concept of data mesh. They critique the illusion of productivity in data teams, the pitfalls of complex SQL queries, and the difficulties of implementing data mesh in organizations. The conversation emphasizes the importance of clarity, governance, and practical strategies in managing data while also exploring the potential of AI to optimize SQL queries and reduce technical debt, highlighting the need for balanced human oversight. Stay cynical! </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The three go through their hot-takes lightning round as they discuss the challenges faced by data teams, focusing on technical debt and the concept of data mesh. They critique the illusion of productivity in data teams, the pitfalls of complex SQL queries, and the difficulties of implementing data mesh in organizations. The conversation emphasizes the importance of clarity, governance, and practical strategies in managing data while also exploring the potential of AI to optimize SQL queries and reduce technical debt, highlighting the need for balanced human oversight. Stay cynical! </itunes:subtitle>
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      <title>229: The Future of AI: Superhuman Intelligence, Autonomous Coding, and the Path to AGI with Misha Laskin of ReflectionAI</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Misha's Background and Journey in AI (1:13)</li><li>Childhood Interest in Physics (4:43)</li><li>Future of AI and Human Interaction (7:09)</li><li>AI's Transformative Nature (10:12)</li><li>Superhuman Intelligence in AI (12:44)</li><li>Clarifying AGI and Superhuman Intelligence (15:48)</li><li>Understanding AGI (18:12)</li><li>Counterintuitive Intelligence (22:06)</li><li>Reflection's Mission (25:00)</li><li>Focus on Autonomous Coding (29:18)</li><li>Future of Automation (34:00)</li><li>Geofencing in Coding (38:01)</li><li>Challenges of Autonomous Coding (40:46)</li><li>Evaluations in AI Projects (43:27)</li><li>Example of Evaluation Metrics (46:52)</li><li>Starting with AI Tools and Final Takeaways (50:35)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 19 Feb 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Misha's Background and Journey in AI (1:13)</li><li>Childhood Interest in Physics (4:43)</li><li>Future of AI and Human Interaction (7:09)</li><li>AI's Transformative Nature (10:12)</li><li>Superhuman Intelligence in AI (12:44)</li><li>Clarifying AGI and Superhuman Intelligence (15:48)</li><li>Understanding AGI (18:12)</li><li>Counterintuitive Intelligence (22:06)</li><li>Reflection's Mission (25:00)</li><li>Focus on Autonomous Coding (29:18)</li><li>Future of Automation (34:00)</li><li>Geofencing in Coding (38:01)</li><li>Challenges of Autonomous Coding (40:46)</li><li>Evaluations in AI Projects (43:27)</li><li>Example of Evaluation Metrics (46:52)</li><li>Starting with AI Tools and Final Takeaways (50:35)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>229: The Future of AI: Superhuman Intelligence, Autonomous Coding, and the Path to AGI with Misha Laskin of ReflectionAI</itunes:title>
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      <itunes:duration>00:52:25</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Misha Laskin, Co-Founder and CEO of ReflectionAI. Misha shares his journey from theoretical physics to AI, detailing his experiences at DeepMind. The discussion covers the development of AI technologies, the concepts of artificial general intelligence (AGI) and superhuman intelligence, and their implications for knowledge work. Misha emphasizes the importance of robust evaluation frameworks and the potential of AI to augment human capabilities. The conversation also touches on autonomous coding, geofencing in AI tasks, the future of human-AI collaboration, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Misha Laskin, Co-Founder and CEO of ReflectionAI. Misha shares his journey from theoretical physics to AI, detailing his experiences at DeepMind. The discussion covers the development of AI technologies, the concepts of artificial general intelligence (AGI) and superhuman intelligence, and their implications for knowledge work. Misha emphasizes the importance of robust evaluation frameworks and the potential of AI to augment human capabilities. The conversation also touches on autonomous coding, geofencing in AI tasks, the future of human-AI collaboration, and more. </itunes:subtitle>
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      <title>The PRQL: From Theoretical Physics to AI: Misha Laskin on AGI, Superhuman Intelligence, and Autonomous Coding</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 17 Feb 2025 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: From Theoretical Physics to AI: Misha Laskin on AGI, Superhuman Intelligence, and Autonomous Coding</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Misha Laskin, Co-Founder and CEO of ReflectionAI. </itunes:summary>
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      <title>228: The Machine Learning Reality Check: When AI Makes Sense for Marketing Attribution with Lew Dawson of Momentum Consulting</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Previewing Today’s Topic (0:14</li><li>Machine Learning Discussion (1:44)</li><li>Conditions for Machine Learning Worthiness (6:59)</li><li>Simplicity in Modeling (8:43)</li><li>Predictive Analytics vs. Machine Learning (10:42)</li><li>Optimization and Investment Problems (13:03)</li><li>Practical vs. Theoretical Saturation (15:16)</li><li>Building Relationships with Marketing Teams (19:52)</li><li>Reporting Metrics and Attribution Models (22:49)</li><li>Tracking Common Metrics (25:40)</li><li>Understanding Profit Generation (27:46)</li><li>ROI Calculation Challenges (29:49)</li><li>AI in Customer Data Analysis (31:23)</li><li>Execution Challenges in Marketing Automation (35:23)</li><li>API Limitations in Marketing Tools (36:50)</li><li>Optimizing Ads with AI (37:50)</li><li>Challenges of Real-Time Data Integration (40:01)</li><li>Final thoughts and takeaways (41:13)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 12 Feb 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Previewing Today’s Topic (0:14</li><li>Machine Learning Discussion (1:44)</li><li>Conditions for Machine Learning Worthiness (6:59)</li><li>Simplicity in Modeling (8:43)</li><li>Predictive Analytics vs. Machine Learning (10:42)</li><li>Optimization and Investment Problems (13:03)</li><li>Practical vs. Theoretical Saturation (15:16)</li><li>Building Relationships with Marketing Teams (19:52)</li><li>Reporting Metrics and Attribution Models (22:49)</li><li>Tracking Common Metrics (25:40)</li><li>Understanding Profit Generation (27:46)</li><li>ROI Calculation Challenges (29:49)</li><li>AI in Customer Data Analysis (31:23)</li><li>Execution Challenges in Marketing Automation (35:23)</li><li>API Limitations in Marketing Tools (36:50)</li><li>Optimizing Ads with AI (37:50)</li><li>Challenges of Real-Time Data Integration (40:01)</li><li>Final thoughts and takeaways (41:13)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>228: The Machine Learning Reality Check: When AI Makes Sense for Marketing Attribution with Lew Dawson of Momentum Consulting</itunes:title>
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      <itunes:duration>00:41:46</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and John welcome back Lewis Dawson from Momentum Consulting for the third part of this conversation on data attribution. In this episode, the group talks about the intricacies of machine learning (ML) and its business applications, particularly focusing on customer lifetime value (CLV) prediction. They discuss the challenges of implementing ML models, emphasizing the necessity of having the right data and team. The conversation highlights the importance of simplicity in modeling and understanding the limitations of data-driven approaches. They also explore the concept of diminishing returns in marketing channels and the potential of AI in optimizing advertising strategies, while acknowledging the complexities involved.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome back Lewis Dawson from Momentum Consulting for the third part of this conversation on data attribution. In this episode, the group talks about the intricacies of machine learning (ML) and its business applications, particularly focusing on customer lifetime value (CLV) prediction. They discuss the challenges of implementing ML models, emphasizing the necessity of having the right data and team. The conversation highlights the importance of simplicity in modeling and understanding the limitations of data-driven approaches. They also explore the concept of diminishing returns in marketing channels and the potential of AI in optimizing advertising strategies, while acknowledging the complexities involved.</itunes:subtitle>
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      <title>227: The Art &amp; Science of Marketing Attribution: From UTMs to Machine Learning with Lew Dawson of Momentum Consulting</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Welcome Back, Lew (0:14)</li><li>Recap of Previous Discussion (1:03)</li><li>Benefits of Hashing Information (2:33)  </li><li>Using Hashes for Data Context (4:24)</li><li>Hashing and Query Parameters (7:24)</li><li>Static Values for Hashing (11:10)</li><li>Identity Resolution in Data Attribution (14:36)</li><li>Methodologies for User Tracking (16:37)</li><li>Combining Data Sources for Attribution (21:13)</li><li>Understanding Data Gaps (25:25)</li><li>Defining Objectives and KPIs (27:50)</li><li>Identity Resolution Challenges (28:46)</li><li>User and Session Stitching (32:01)</li><li>Trusting Ad Platforms (35:23)</li><li>Defining Attribution (38:09)</li><li>The Credit Dilemma (40:18)</li><li>First Touch Attribution Explained (41:47)</li><li>Linear Attribution Model (43:21)</li><li>B2C and B2B Attribution Scenarios (45:22)</li><li>Timeframes in Attribution (47:29)</li><li>Understanding Lookback Windows (49:34)</li><li>Google Analytics Changes (51:20)</li><li>Attribution After Conversion (53:26)</li><li>Online vs. Offline Attribution (55:49)</li><li>Discipline in Tracking (58:52)</li><li>Challenges in Coordination (1:00:12)</li><li>QR Codes and Data Integration (1:01:55)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 5 Feb 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Welcome Back, Lew (0:14)</li><li>Recap of Previous Discussion (1:03)</li><li>Benefits of Hashing Information (2:33)  </li><li>Using Hashes for Data Context (4:24)</li><li>Hashing and Query Parameters (7:24)</li><li>Static Values for Hashing (11:10)</li><li>Identity Resolution in Data Attribution (14:36)</li><li>Methodologies for User Tracking (16:37)</li><li>Combining Data Sources for Attribution (21:13)</li><li>Understanding Data Gaps (25:25)</li><li>Defining Objectives and KPIs (27:50)</li><li>Identity Resolution Challenges (28:46)</li><li>User and Session Stitching (32:01)</li><li>Trusting Ad Platforms (35:23)</li><li>Defining Attribution (38:09)</li><li>The Credit Dilemma (40:18)</li><li>First Touch Attribution Explained (41:47)</li><li>Linear Attribution Model (43:21)</li><li>B2C and B2B Attribution Scenarios (45:22)</li><li>Timeframes in Attribution (47:29)</li><li>Understanding Lookback Windows (49:34)</li><li>Google Analytics Changes (51:20)</li><li>Attribution After Conversion (53:26)</li><li>Online vs. Offline Attribution (55:49)</li><li>Discipline in Tracking (58:52)</li><li>Challenges in Coordination (1:00:12)</li><li>QR Codes and Data Integration (1:01:55)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>227: The Art &amp; Science of Marketing Attribution: From UTMs to Machine Learning with Lew Dawson of Momentum Consulting</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome back Lewis Dawson from Momentum Consulting as the group delves into the complexities of data attribution. They discuss the limitations of traditional UTM parameters and the advantages of using hashing methodologies to enhance data quality and attribution accuracy in marketing campaigns. The conversation highlights the importance of stable identifiers, the integration of dynamic parameters from advertising platforms, and best practices for managing metadata in data systems. They also explore various attribution models, including first touch, last touch, and multi-touch, and discuss the challenges of identity resolution and maintaining data integrity across different platforms. Don’t miss this great conversation. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome back Lewis Dawson from Momentum Consulting as the group delves into the complexities of data attribution. They discuss the limitations of traditional UTM parameters and the advantages of using hashing methodologies to enhance data quality and attribution accuracy in marketing campaigns. The conversation highlights the importance of stable identifiers, the integration of dynamic parameters from advertising platforms, and best practices for managing metadata in data systems. They also explore various attribution models, including first touch, last touch, and multi-touch, and discuss the challenges of identity resolution and maintaining data integrity across different platforms. Don’t miss this great conversation. </itunes:subtitle>
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      <title>226: Building Trust in Marketing Data: An Engineer&apos;s Guide to Attribution Architecture with Lew Dawson of Momentum Consulting</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Lew’s Background and Journey in Data (1:06)</li><li>Attribution Challenges (2:16)</li><li>Attribution War Stories (8:09</li><li>Defining Attribution (12:32)</li><li>Complexities of Attribution (16:08)</li><li>Multi-Touch Attribution Challenges (21:31)</li><li>Campaign Creation Difficulties (23:27)</li><li>UTM Parameters Explained (26:01)</li><li>Challenges in Data Extraction (31:17)</li><li>Transforming and Merging Data (36:28)</li><li>Behavioral Data and Identity Resolution (40:29)</li><li>Hierarchical Structure of Campaigns (44:03)</li><li>Challenges of Data Consistency (49:38)</li><li>Mitigating Freeform Data Issues (52:21)</li><li>Creating Unique Join Keys (55:30)</li><li>The Importance of Defining Requirements (58:42)</li><li>Final Thoughts and Takeaways (1:00:39)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 29 Jan 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Lew’s Background and Journey in Data (1:06)</li><li>Attribution Challenges (2:16)</li><li>Attribution War Stories (8:09</li><li>Defining Attribution (12:32)</li><li>Complexities of Attribution (16:08)</li><li>Multi-Touch Attribution Challenges (21:31)</li><li>Campaign Creation Difficulties (23:27)</li><li>UTM Parameters Explained (26:01)</li><li>Challenges in Data Extraction (31:17)</li><li>Transforming and Merging Data (36:28)</li><li>Behavioral Data and Identity Resolution (40:29)</li><li>Hierarchical Structure of Campaigns (44:03)</li><li>Challenges of Data Consistency (49:38)</li><li>Mitigating Freeform Data Issues (52:21)</li><li>Creating Unique Join Keys (55:30)</li><li>The Importance of Defining Requirements (58:42)</li><li>Final Thoughts and Takeaways (1:00:39)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>226: Building Trust in Marketing Data: An Engineer&apos;s Guide to Attribution Architecture with Lew Dawson of Momentum Consulting</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Lewis Dawson from Momentum Consulting to discuss the complexities of marketing attribution. Lew shares his extensive background in data, from coding in the late 90s to working in data warehousing, martech, and cybersecurity. The conversation delves into the challenges of attribution, including data accuracy, integration, and the need for robust monitoring systems. Lew emphasizes the importance of creating unique join keys for campaigns, fostering collaboration across teams to improve data-driven decision-making, and more. Don’t miss this episode! </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Lewis Dawson from Momentum Consulting to discuss the complexities of marketing attribution. Lew shares his extensive background in data, from coding in the late 90s to working in data warehousing, martech, and cybersecurity. The conversation delves into the challenges of attribution, including data accuracy, integration, and the need for robust monitoring systems. Lew emphasizes the importance of creating unique join keys for campaigns, fostering collaboration across teams to improve data-driven decision-making, and more. Don’t miss this episode! </itunes:subtitle>
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      <title>The PRQL: From Data Chaos to Marketing Truth: An Engineer&apos;s Guide to Attribution with Lew Dawson of Momentum Consulting</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 27 Jan 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: From Data Chaos to Marketing Truth: An Engineer&apos;s Guide to Attribution with Lew Dawson of Momentum Consulting</itunes:title>
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      <itunes:duration>00:03:38</itunes:duration>
      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Lew Dawson of Momentum Consulting. </itunes:summary>
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      <title>225: The Stone Cold Truth About Data: False Hopes and Hard Truths with The Cynical Data Guy</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>False Hope in Data Roles (1:17)</li><li>Naivety of Junior Data Analysts (4:27)</li><li>The Challenge of Defining Data (6:41)</li><li>Struggles with Enterprise BI Tools (9:43)</li><li>Career Advice for Data Professionals (12:36)</li><li>Generational Shifts in Data Roles (16:51)</li><li>Self-Service Data Requests (18:17)</li><li>The Importance of Analysis Skills (19:46)</li><li>The Broader Context of Analysis (21:44)</li><li>Boring Challenges in AI Deployment (23:29)</li><li>Technology Development vs. Human Absorption (26:14)</li><li>VC Resolutions for 2025 (27:00)</li><li>Value Addition in Leadership (32:08)</li><li>Final Thoughts and Wrap-Up (33:06)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 22 Jan 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>False Hope in Data Roles (1:17)</li><li>Naivety of Junior Data Analysts (4:27)</li><li>The Challenge of Defining Data (6:41)</li><li>Struggles with Enterprise BI Tools (9:43)</li><li>Career Advice for Data Professionals (12:36)</li><li>Generational Shifts in Data Roles (16:51)</li><li>Self-Service Data Requests (18:17)</li><li>The Importance of Analysis Skills (19:46)</li><li>The Broader Context of Analysis (21:44)</li><li>Boring Challenges in AI Deployment (23:29)</li><li>Technology Development vs. Human Absorption (26:14)</li><li>VC Resolutions for 2025 (27:00)</li><li>Value Addition in Leadership (32:08)</li><li>Final Thoughts and Wrap-Up (33:06)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>225: The Stone Cold Truth About Data: False Hopes and Hard Truths with The Cynical Data Guy</itunes:title>
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      <itunes:duration>00:33:30</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and John are joined by the Cynical Data Guy (Matt Kelliher-Gibson) as the group discusses the challenges and misconceptions in the data field. They explore the unrealistic expectations often held by data professionals, including data analysts, engineers, scientists, and leaders. Through personal anecdotes, they highlight the importance of domain knowledge and the evolving nature of data roles. The conversation also touches on the implications of using enterprise-grade BI tools in small companies, the necessity for data professionals to balance technical skills with business acumen, and so much more along the way. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John are joined by the Cynical Data Guy (Matt Kelliher-Gibson) as the group discusses the challenges and misconceptions in the data field. They explore the unrealistic expectations often held by data professionals, including data analysts, engineers, scientists, and leaders. Through personal anecdotes, they highlight the importance of domain knowledge and the evolving nature of data roles. The conversation also touches on the implications of using enterprise-grade BI tools in small companies, the necessity for data professionals to balance technical skills with business acumen, and so much more along the way. </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 20 Jan 2025 09:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: The End of Data Silos (and Other Myths) with The Cynical Data Guy</itunes:title>
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      <title>224: Bridging Gaps: DevRel, Marketing Synergies, and the Future of Data with Pedram Navid of Dagster Labs</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pedram’s Background and Journey in Data (0:47)</li><li>Joining Dagster Labs (1:41)</li><li>Synergies Between Teams (2:56)</li><li>Developer Marketing Preferences (6:06)</li><li>Bridging Technical Gaps (9:54)</li><li>Understanding Data Orchestration (11:05)</li><li>Dagster's Unique Features (16:07)</li><li>The Future of Orchestration (18:09)</li><li>Freeing Up Team Resources (20:30)</li><li>Market Readiness of the Modern Data Stack (22:20)</li><li>Career Journey into DevRel and Marketing (26:09)</li><li>Understanding Technical Audiences (29:33)</li><li>Building Trust Through Open Source (31:36)</li><li>Understanding Vendor Lock-In (34:40)</li><li>AI and Data Orchestration (36:11)</li><li>Modern Data Stack Evolution (39:09)</li><li>The Cost of AI Services (41:58)</li><li>Differentiation Through Integration (44:13)</li><li>Language and Frameworks in Orchestration (49:45)</li><li>Future of Orchestration and Closing Thoughts (51:54)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 15 Jan 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pedram’s Background and Journey in Data (0:47)</li><li>Joining Dagster Labs (1:41)</li><li>Synergies Between Teams (2:56)</li><li>Developer Marketing Preferences (6:06)</li><li>Bridging Technical Gaps (9:54)</li><li>Understanding Data Orchestration (11:05)</li><li>Dagster's Unique Features (16:07)</li><li>The Future of Orchestration (18:09)</li><li>Freeing Up Team Resources (20:30)</li><li>Market Readiness of the Modern Data Stack (22:20)</li><li>Career Journey into DevRel and Marketing (26:09)</li><li>Understanding Technical Audiences (29:33)</li><li>Building Trust Through Open Source (31:36)</li><li>Understanding Vendor Lock-In (34:40)</li><li>AI and Data Orchestration (36:11)</li><li>Modern Data Stack Evolution (39:09)</li><li>The Cost of AI Services (41:58)</li><li>Differentiation Through Integration (44:13)</li><li>Language and Frameworks in Orchestration (49:45)</li><li>Future of Orchestration and Closing Thoughts (51:54)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>224: Bridging Gaps: DevRel, Marketing Synergies, and the Future of Data with Pedram Navid of Dagster Labs</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, John and Matt welcome Pedram Navid, Chief Dashboard Officer at Dagster Labs. During the conversation, Pedram shares his career evolution from consulting to his current role, where he oversees data, developer relations (DevRel), and marketing. The discussion delves into the synergies between DevRel and marketing, emphasizing the importance of understanding developers&apos; learning preferences. Pedram explains data orchestration, highlighting its role in managing and automating data workflows. He also discusses Daxter&apos;s unique asset-based approach, which enhances visibility and control over data processes, catering to users from novices to experts, and so much more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, John and Matt welcome Pedram Navid, Chief Dashboard Officer at Dagster Labs. During the conversation, Pedram shares his career evolution from consulting to his current role, where he oversees data, developer relations (DevRel), and marketing. The discussion delves into the synergies between DevRel and marketing, emphasizing the importance of understanding developers&apos; learning preferences. Pedram explains data orchestration, highlighting its role in managing and automating data workflows. He also discusses Daxter&apos;s unique asset-based approach, which enhances visibility and control over data processes, catering to users from novices to experts, and so much more.</itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 13 Jan 2025 09:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Developer Relations, Marketing Synergies, and the Future of Data Platforms with Pedram Navid of Dagster Labs</itunes:title>
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      <title>223: End-of-Year Product Trends: The Cost of Rushing Features with The Cynical Data Guy</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Christmas and New Year Edition of Cynical Data Guy (0:28)</li><li>Discussion on AI (0:42)</li><li>12 Days of Shipments (1:04)</li><li>Attention-Grabbing Strategies (2:01)</li><li>Founder Mode vs. Manager Mode (3:11)</li><li>Technical Debt Remediation (5:03)</li><li>LinkedIn Posts Discussion (6:05)</li><li>Cultural Impact on Roles (8:03)</li><li>Investment in Modernization (12:07)</li><li>Reflection on Company Strategies (15:03)</li><li>Gratitude for Data Trends (16:18)</li><li>Future of Data Access (19:14)</li><li>Looking Forward to 2025 in Data (21:45)</li><li>Final Thoughts and Takeaways (22:11)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 8 Jan 2025 09:30:00 +0000</pubDate>
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      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Christmas and New Year Edition of Cynical Data Guy (0:28)</li><li>Discussion on AI (0:42)</li><li>12 Days of Shipments (1:04)</li><li>Attention-Grabbing Strategies (2:01)</li><li>Founder Mode vs. Manager Mode (3:11)</li><li>Technical Debt Remediation (5:03)</li><li>LinkedIn Posts Discussion (6:05)</li><li>Cultural Impact on Roles (8:03)</li><li>Investment in Modernization (12:07)</li><li>Reflection on Company Strategies (15:03)</li><li>Gratitude for Data Trends (16:18)</li><li>Future of Data Access (19:14)</li><li>Looking Forward to 2025 in Data (21:45)</li><li>Final Thoughts and Takeaways (22:11)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>223: End-of-Year Product Trends: The Cost of Rushing Features with The Cynical Data Guy</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>00:22:42</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, John is joined by the Cynical Data Guy (Matt Kelliher-Gibson) as they look back on Christmas and New Year’s as they delve into the evolving data landscape. They discuss trends in AI, the year-end rush for product releases dubbed &quot;12 days of shipments,&quot; and the dynamics between data engineers and analysts. The conversation also highlights the importance of data warehousing and open-source data formats, reflecting on the industry&apos;s shift towards more accessible and flexible data practices. The episode concludes with reflections on 2024 and hopes for continued progress in data management in this new year. Don’t miss it! </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, John is joined by the Cynical Data Guy (Matt Kelliher-Gibson) as they look back on Christmas and New Year’s as they delve into the evolving data landscape. They discuss trends in AI, the year-end rush for product releases dubbed &quot;12 days of shipments,&quot; and the dynamics between data engineers and analysts. The conversation also highlights the importance of data warehousing and open-source data formats, reflecting on the industry&apos;s shift towards more accessible and flexible data practices. The episode concludes with reflections on 2024 and hopes for continued progress in data management in this new year. Don’t miss it! </itunes:subtitle>
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      <title>The PRQL: Year-End Reflections with The Cynical Data Guy: Ship Features Fast, Pay Later</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 6 Jan 2025 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
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      <itunes:title>The PRQL: Year-End Reflections with The Cynical Data Guy: Ship Features Fast, Pay Later</itunes:title>
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      <title>222: The Future of Data Modeling: Breaking Free from Tables with Best-Selling Author, Joe Reis of Ternary Data</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Joe’s Recent Projects and Work (0:55)</li><li>Joe’s New Book and Inspiration for Writing It (4:39)</li><li>Challenges in Data Education (7:00)</li><li>Internal Training Programs (10:02)</li><li>Creative Problem Solving (17:46)</li><li>Evaluating Candidates' Skills (21:18)</li><li>Market Value and Career Growth (24:03)</li><li>AI's Impact on Hiring (27:47)</li><li>Content Production and Quality (31:56)</li><li>The Evolution of AI and Data (34:00)</li><li>Challenges of Automation (36:12)</li><li>Convergence of Data Fields (40:26)</li><li>Shortcomings of Relational Models (42:09)</li><li>Inefficiencies of Poor Data Modeling (47:10)</li><li>Discussion on Resource Constraints (51:50)</li><li>The Role of Language Models (53:13)</li><li>AI in Migration Projects (57:00)</li><li>Joe’s Teaser for a New Project (59:05)  </li><li>Final Thoughts and Closing Remarks (1:00:07)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Tue, 31 Dec 2024 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Joe’s Recent Projects and Work (0:55)</li><li>Joe’s New Book and Inspiration for Writing It (4:39)</li><li>Challenges in Data Education (7:00)</li><li>Internal Training Programs (10:02)</li><li>Creative Problem Solving (17:46)</li><li>Evaluating Candidates' Skills (21:18)</li><li>Market Value and Career Growth (24:03)</li><li>AI's Impact on Hiring (27:47)</li><li>Content Production and Quality (31:56)</li><li>The Evolution of AI and Data (34:00)</li><li>Challenges of Automation (36:12)</li><li>Convergence of Data Fields (40:26)</li><li>Shortcomings of Relational Models (42:09)</li><li>Inefficiencies of Poor Data Modeling (47:10)</li><li>Discussion on Resource Constraints (51:50)</li><li>The Role of Language Models (53:13)</li><li>AI in Migration Projects (57:00)</li><li>Joe’s Teaser for a New Project (59:05)  </li><li>Final Thoughts and Closing Remarks (1:00:07)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>222: The Future of Data Modeling: Breaking Free from Tables with Best-Selling Author, Joe Reis of Ternary Data</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, John is joined by the Cynical Data Guy (Matt Kelliher-Gibson) as the pair welcomes back Joe Reis to the show. Joe discusses his new book on data modeling and shares insights on the evolution of data modeling practices, emphasizing the need to understand various data types and use cases. The conversation explores challenges in data education, highlighting the limitations of traditional academic programs and the importance of foundational principles over specific tools. The group also delves into hiring practices, stressing the value of character and continuous learning. The episode concludes with reflections on the impact of AI, the future of data education, and more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, John is joined by the Cynical Data Guy (Matt Kelliher-Gibson) as the pair welcomes back Joe Reis to the show. Joe discusses his new book on data modeling and shares insights on the evolution of data modeling practices, emphasizing the need to understand various data types and use cases. The conversation explores challenges in data education, highlighting the limitations of traditional academic programs and the importance of foundational principles over specific tools. The group also delves into hiring practices, stressing the value of character and continuous learning. The episode concludes with reflections on the impact of AI, the future of data education, and more.</itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 30 Dec 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: From Tables to AI: The Future of Data Modeling with Best-Selling Author, Joe Reis of Ternary Data</itunes:title>
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      <itunes:summary>In this bonus episode, John and MKG preview their upcoming conversation with best-selling author Joe Reis of Ternary Data. </itunes:summary>
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      <title>221: The Art and Science of Technical Leadership in Early-Stage Startups: Building World-Class Engineering Teams from Scratch with Sokratis Vidros of Novu</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Sokratis’ Background and Journey in Data (1:19)</li><li>Engineers Wearing Multiple Hats (2:17)</li><li>The Era of Early Startups (3:32)</li><li>Lessons from Building Software (7:15)</li><li>Importance of Team Dynamics (9:12)</li><li>Balancing Creativity and Stability (15:00)</li><li>Version Control in Data Analysis (18:57)</li><li>Opinionated Modern Data Software (21:14)</li><li>Creating Dashboards for Company Stats (22:41)</li><li>Hiring for Intuition in Tech (27:38)</li><li>Interview Process Insights (30:15)</li><li>Protecting Intuitive Thinkers in Companies (35:08)</li><li>The Challenge of Trust (39:21)</li><li>Loss of Control in Delegation (40:14)</li><li>Founder Work-Life Balance (42:15)</li><li>Advice for Early-Stage Engineers (44:03)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Tue, 24 Dec 2024 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Sokratis’ Background and Journey in Data (1:19)</li><li>Engineers Wearing Multiple Hats (2:17)</li><li>The Era of Early Startups (3:32)</li><li>Lessons from Building Software (7:15)</li><li>Importance of Team Dynamics (9:12)</li><li>Balancing Creativity and Stability (15:00)</li><li>Version Control in Data Analysis (18:57)</li><li>Opinionated Modern Data Software (21:14)</li><li>Creating Dashboards for Company Stats (22:41)</li><li>Hiring for Intuition in Tech (27:38)</li><li>Interview Process Insights (30:15)</li><li>Protecting Intuitive Thinkers in Companies (35:08)</li><li>The Challenge of Trust (39:21)</li><li>Loss of Control in Delegation (40:14)</li><li>Founder Work-Life Balance (42:15)</li><li>Advice for Early-Stage Engineers (44:03)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>221: The Art and Science of Technical Leadership in Early-Stage Startups: Building World-Class Engineering Teams from Scratch with Sokratis Vidros of Novu</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome back to the podcast Sokratis Vidros, VP of Engineering at Novu. Sokratis shares his journey in the tech industry, focusing on startups and software engineering best practices. He emphasizes the importance of team dynamics, balancing creativity with stability, and effective communication in early-stage companies. The group discusses the challenges of building software, the significance of version control, and leveraging AI tools in modern data workflows. The conversation also covers hiring strategies, managing stakeholder expectations, fostering a culture of experimentation, valuable insights for those navigating the complexities of startups and data engineering, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome back to the podcast Sokratis Vidros, VP of Engineering at Novu. Sokratis shares his journey in the tech industry, focusing on startups and software engineering best practices. He emphasizes the importance of team dynamics, balancing creativity with stability, and effective communication in early-stage companies. The group discusses the challenges of building software, the significance of version control, and leveraging AI tools in modern data workflows. The conversation also covers hiring strategies, managing stakeholder expectations, fostering a culture of experimentation, valuable insights for those navigating the complexities of startups and data engineering, and so much more. </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 23 Dec 2024 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: Building Software with Intuition: Lessons from Multiple Successful Startups with Sokratis Vidros of Novu</itunes:title>
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      <title>220: From Box Office to Big Data: Bridging Marketing and Technology Through Data-Driven Leadership with Brian Schwartz of SIZE</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Brian’s Background and Journey in Data and Marketing (0:56)</li><li>AI and Data Strategy (2:12)</li><li>Experience at DreamWorks Animation (3:15)</li><li>Marketing Timeline for Movies (5:18)</li><li>Data-Driven Decisions at Expedia (9:04)</li><li>Advising High-Growth Companies (14:59)</li><li>LinkedIn Connections and Networking (17:57)</li><li>Tension Between Marketing and Data Teams (19:59)</li><li>Technology Spending in Marketing (22:07)</li><li>Advice for Tech Leaders Facing Brand Marketers (25:50)</li><li>Frequency of Replatforming (30:11)</li><li>Understanding Data Accessibility (33:58)</li><li>Data as a Product (00:37:58)</li><li>Overhyped AI Applications (39:00)</li><li>Underutilized AI Opportunities (00:41:51)</li><li>AI's ROI Challenges (47:01)</li><li>Effective AI Support Systems (52:33)</li><li>Potential Ventures to Pursue Outside of Data (56:04)</li><li>Final Thoughts and Takeaways (1:00:11)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 18 Dec 2024 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Brian’s Background and Journey in Data and Marketing (0:56)</li><li>AI and Data Strategy (2:12)</li><li>Experience at DreamWorks Animation (3:15)</li><li>Marketing Timeline for Movies (5:18)</li><li>Data-Driven Decisions at Expedia (9:04)</li><li>Advising High-Growth Companies (14:59)</li><li>LinkedIn Connections and Networking (17:57)</li><li>Tension Between Marketing and Data Teams (19:59)</li><li>Technology Spending in Marketing (22:07)</li><li>Advice for Tech Leaders Facing Brand Marketers (25:50)</li><li>Frequency of Replatforming (30:11)</li><li>Understanding Data Accessibility (33:58)</li><li>Data as a Product (00:37:58)</li><li>Overhyped AI Applications (39:00)</li><li>Underutilized AI Opportunities (00:41:51)</li><li>AI's ROI Challenges (47:01)</li><li>Effective AI Support Systems (52:33)</li><li>Potential Ventures to Pursue Outside of Data (56:04)</li><li>Final Thoughts and Takeaways (1:00:11)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>220: From Box Office to Big Data: Bridging Marketing and Technology Through Data-Driven Leadership with Brian Schwartz of SIZE</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Brian Schwartz, Co-Founder of SIZE, an advisory firm for late-stage companies. Brian shares his rich marketing background from DreamWorks Animation and Expedia, discussing the vital role of data in marketing. The conversation highlights the challenges faced by data and marketing teams, emphasizing the need for effective data utilization in business decisions. Brian also talks about his transition to advising high-growth companies, stressing the importance of understanding customer data and fostering collaboration among executives to drive growth and innovation. Don’t miss this great conversation! </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Brian Schwartz, Co-Founder of SIZE, an advisory firm for late-stage companies. Brian shares his rich marketing background from DreamWorks Animation and Expedia, discussing the vital role of data in marketing. The conversation highlights the challenges faced by data and marketing teams, emphasizing the need for effective data utilization in business decisions. Brian also talks about his transition to advising high-growth companies, stressing the importance of understanding customer data and fostering collaboration among executives to drive growth and innovation. Don’t miss this great conversation! </itunes:subtitle>
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      <pubDate>Mon, 16 Dec 2024 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Lightning Round Setup (1:15)</li><li>Scenarios for New Data Leaders (2:33)</li><li>Optimism vs. Reality (3:14)</li><li>Cynical Perspective on Data Roles (5:32)</li><li>Monitoring Systems Discussion (9:31)</li><li>Executive Alignment Challenges (12:54)</li><li>Understanding Team Dynamics (17:32)</li><li>Head of Data vs. Head of Product (20:13)</li><li>Product Development Steps (22:14)</li><li>Consequences of Product Decisions (24:14)</li><li>Challenges in Data Team Dynamics (26:03)</li><li>Attribution Reporting Complexity (28:24)</li><li>Long-Term Vision for Data Teams (29:22)</li><li>AI Summaries Discussion (30:19)</li><li>Closing Thoughts on AI Nuance (32:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 11 Dec 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Lightning Round Setup (1:15)</li><li>Scenarios for New Data Leaders (2:33)</li><li>Optimism vs. Reality (3:14)</li><li>Cynical Perspective on Data Roles (5:32)</li><li>Monitoring Systems Discussion (9:31)</li><li>Executive Alignment Challenges (12:54)</li><li>Understanding Team Dynamics (17:32)</li><li>Head of Data vs. Head of Product (20:13)</li><li>Product Development Steps (22:14)</li><li>Consequences of Product Decisions (24:14)</li><li>Challenges in Data Team Dynamics (26:03)</li><li>Attribution Reporting Complexity (28:24)</li><li>Long-Term Vision for Data Teams (29:22)</li><li>AI Summaries Discussion (30:19)</li><li>Closing Thoughts on AI Nuance (32:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>219: The First 90 Days of Data Leadership: What the LinkedIn Posts Don&apos;t Tell You with Matt Kelliher-Gibson, The Cynical Data Guy</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome back Matt Kelliher-Gibson for another edition of the Cynical Data Guy. The group delves into the unrealistic expectations often portrayed in LinkedIn posts about a new head of data&apos;s first 90 days. They also discuss the complexities of leading data teams, understanding team dynamics, and building trust with executives. Matt adds his humorous and cynical perspective, highlighting the disconnect between idealized online narratives and the real challenges faced by data leaders. The episode underscores the importance of realistic expectations and the evolving role of Chief Data Officers. Stay cynical! You won’t want to miss this. </itunes:summary>
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      <pubDate>Mon, 9 Dec 2024 09:30:00 +0000</pubDate>
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      <pubDate>Wed, 4 Dec 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Joyce's Background and Journey in Data (0:39)  </li><li>Technological Growth in Logistics (3:51)</li><li>Leadership and Communication in Logistics (6:54)</li><li>Impact of Data Quality (9:13)</li><li>Significance of Data Entry Accuracy (12:05)</li><li>Data's Role in Decision Making (16:01)</li><li>The Cost of Adding Data Points (21:26)</li><li>Real-Time Data in Logistics (24:28)</li><li>Understanding Master Data (31:15)</li><li>Data vs. Information Distinction (33:21)</li><li>Navigating Change in Data Management (37:35)</li><li>Career Advice for Data Practitioners and Parting Thoughts (41:10)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>218: Breaking the Language Barrier Between Data and Business with Joyce Myers of Modern Technology Solutions</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Joyce Myers, Chief Data Officer at Modern Technology Solutions. During the episode, Joyce discusses the evolution of logistics from paper-based systems to electronic data management, emphasizing the importance of data quality and fidelity in decision-making. She shares insights on how minor data entry errors can significantly impact resource allocation and operational efficiency. The conversation also highlights the critical roles of leadership, communication, understanding the purpose of data in enhancing organizational efficiency and achieving strategic goals, and much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Joyce Myers, Chief Data Officer at Modern Technology Solutions. During the episode, Joyce discusses the evolution of logistics from paper-based systems to electronic data management, emphasizing the importance of data quality and fidelity in decision-making. She shares insights on how minor data entry errors can significantly impact resource allocation and operational efficiency. The conversation also highlights the critical roles of leadership, communication, understanding the purpose of data in enhancing organizational efficiency and achieving strategic goals, and much more. </itunes:subtitle>
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      <pubDate>Mon, 2 Dec 2024 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ryan and Paul’s Background and Journey (1:05)</li><li>Excitement about AI and Data Intersection (2:50)</li><li>Evolution of Language Models (5:05)</li><li>Current Challenges in Model Training (6:51)</li><li>Founding Zenlytic (9:12)</li><li>Integrating Vibes into Decision-Making (12:58)</li><li>Precision vs. Context in Data (15:03)</li><li>Understanding Multimodal Inputs (17:47)</li><li>The Challenge of Watching User Behavior (19:26)</li><li>Empathy in Data Analysis (21:32)</li><li>AI in Analytics (23:18)</li><li>The Complexity of Data Models (25:33)</li><li>Self-Serve Analytics Definition (28:15)</li><li>Evolution of Self-Serve Analytics (32:09)</li><li>Distillation of Data for End Users (36:44)</li><li>Challenges in Data Interpretation (39:22)</li><li>Building a Semantic Model (44:18)</li><li>Using AI for Comprehensive Analysis (46:51)</li><li>Future of AI in Analytics (51:31)</li><li>Naming the AI Agent (52:53)</li><li>Final Thoughts and Takeaways (54:21)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 27 Nov 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ryan and Paul’s Background and Journey (1:05)</li><li>Excitement about AI and Data Intersection (2:50)</li><li>Evolution of Language Models (5:05)</li><li>Current Challenges in Model Training (6:51)</li><li>Founding Zenlytic (9:12)</li><li>Integrating Vibes into Decision-Making (12:58)</li><li>Precision vs. Context in Data (15:03)</li><li>Understanding Multimodal Inputs (17:47)</li><li>The Challenge of Watching User Behavior (19:26)</li><li>Empathy in Data Analysis (21:32)</li><li>AI in Analytics (23:18)</li><li>The Complexity of Data Models (25:33)</li><li>Self-Serve Analytics Definition (28:15)</li><li>Evolution of Self-Serve Analytics (32:09)</li><li>Distillation of Data for End Users (36:44)</li><li>Challenges in Data Interpretation (39:22)</li><li>Building a Semantic Model (44:18)</li><li>Using AI for Comprehensive Analysis (46:51)</li><li>Future of AI in Analytics (51:31)</li><li>Naming the AI Agent (52:53)</li><li>Final Thoughts and Takeaways (54:21)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>217: Bridging Data Models with Business Intuition with Zenlytic’s Founders Ryan Janssen and Paul Blankley</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Ryan Janssen and Paul Blankley from Zenlytic. The discussion explores the evolution of language models, their academic journeys, and the transition from consulting to founding Zenlytic. The group delves into the balance between data-driven insights and human intuition in decision-making, the challenges of making data accessible for non-technical users, and the significance of understanding both data and human intuition in driving business success. The episode also touches on the importance of context in data analysis, the future of AI in analytics, and so much more. </itunes:summary>
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      <pubDate>Mon, 25 Nov 2024 09:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Large Language Models Haven’t Always Been Large with Ryan Janssen and Paul Blankley from Zenlytic</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ethan's Background (0:47)</li><li>John's Background (1:16)</li><li>Data Teams vs. Engineering Teams (2:04)</li><li>Career Paths in Data (3:40)</li><li>Pressure of Large Companies (6:10)</li><li>Contrasting Industries: Expedia vs. Gallo (9:02)</li><li>Establishing Trust in Data (11:30)</li><li>From Sales to Data (16:30)</li><li>Understanding Success Metrics (18:58)</li><li>Creating Daily Business Value (23:03)</li><li>Aligning Data Work with Leadership Goals (29:30)</li><li>Differences Between Data and Software Engineering (31:25)</li><li>The Role of Data in Business (35:56)</li><li>Understanding Data Contracts (39:35)</li><li>Accuracy vs. Usability in Data (41:51)</li><li>Observational Skills in Data Roles (44:03)</li><li>Defining Product in Data vs. Software (47:07)</li><li>Final Thoughts and Takeaways (52:42)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 20 Nov 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ethan's Background (0:47)</li><li>John's Background (1:16)</li><li>Data Teams vs. Engineering Teams (2:04)</li><li>Career Paths in Data (3:40)</li><li>Pressure of Large Companies (6:10)</li><li>Contrasting Industries: Expedia vs. Gallo (9:02)</li><li>Establishing Trust in Data (11:30)</li><li>From Sales to Data (16:30)</li><li>Understanding Success Metrics (18:58)</li><li>Creating Daily Business Value (23:03)</li><li>Aligning Data Work with Leadership Goals (29:30)</li><li>Differences Between Data and Software Engineering (31:25)</li><li>The Role of Data in Business (35:56)</li><li>Understanding Data Contracts (39:35)</li><li>Accuracy vs. Usability in Data (41:51)</li><li>Observational Skills in Data Roles (44:03)</li><li>Defining Product in Data vs. Software (47:07)</li><li>Final Thoughts and Takeaways (52:42)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>216: From Raw Data to Business Results: Building High-Impact Data Teams with Ethan Aaron and John Steinmetz</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Ethan Aaron and John Steinmetz. Ethan is the CEO at Portable while John is the VP of Analytics at Gallo Mechanical. During the conversation, the group explores the intricacies of data work including a discussion around the distinctions between data teams and product/engineering teams, emphasizing the importance of aligning data initiatives with business goals. Ethan and John share their career journeys and insights on building effective data teams, the concept of data contracts, the analogy of data management to plumbing, the importance of self-service analytics, the need for data teams to be seen as profit centers, and so much more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Ethan Aaron and John Steinmetz. Ethan is the CEO at Portable while John is the VP of Analytics at Gallo Mechanical. During the conversation, the group explores the intricacies of data work including a discussion around the distinctions between data teams and product/engineering teams, emphasizing the importance of aligning data initiatives with business goals. Ethan and John share their career journeys and insights on building effective data teams, the concept of data contracts, the analogy of data management to plumbing, the importance of self-service analytics, the need for data teams to be seen as profit centers, and so much more.</itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 18 Nov 2024 09:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Understanding Business Needs Before Building Data Solutions with Ethan Aaron and John Steinmetz</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Ethan Aaron of Portable and John Steinmetz of Gallo Mechanical. </itunes:summary>
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      <title>215: Data Sharing and the Truth About Data Clean Rooms with Patrik Devlin of Wilde AI</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Patrik's Background and Journey to Wilde (1:12)</li><li>The Evolution of QR Codes (4:09)</li><li>Marketing Analytics and Clean Rooms (9:52)</li><li>Challenges in Data Sharing (13:20)</li><li>Technical Challenges with Clean Rooms (15:37)</li><li>Exploring Current Data Infrastructure (19:11)</li><li>Data Orchestration Tools (22:50)</li><li>Performance Tuning and Data Syncing (24:00)</li><li>Choosing Data Tools (26:08)</li><li>Mother Duck and Data Warehousing (00:30:31)</li><li>Flexible Data Architecture (32:40)</li><li>DuckDB Implementation (35:36)</li><li>Data Marketplace Concept (38:34)</li><li>Asset Availability in Data Queries (42:21)</li><li>Transition from Software Engineering to Data Stack (46:36)</li><li>Data Contracts and Type Safety (49:10)</li><li>Database Schema Perspectives (50:27)</li><li>Final Thoughts and Takeaways (51:35)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 13 Nov 2024 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Patrik's Background and Journey to Wilde (1:12)</li><li>The Evolution of QR Codes (4:09)</li><li>Marketing Analytics and Clean Rooms (9:52)</li><li>Challenges in Data Sharing (13:20)</li><li>Technical Challenges with Clean Rooms (15:37)</li><li>Exploring Current Data Infrastructure (19:11)</li><li>Data Orchestration Tools (22:50)</li><li>Performance Tuning and Data Syncing (24:00)</li><li>Choosing Data Tools (26:08)</li><li>Mother Duck and Data Warehousing (00:30:31)</li><li>Flexible Data Architecture (32:40)</li><li>DuckDB Implementation (35:36)</li><li>Data Marketplace Concept (38:34)</li><li>Asset Availability in Data Queries (42:21)</li><li>Transition from Software Engineering to Data Stack (46:36)</li><li>Data Contracts and Type Safety (49:10)</li><li>Database Schema Perspectives (50:27)</li><li>Final Thoughts and Takeaways (51:35)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>215: Data Sharing and the Truth About Data Clean Rooms with Patrik Devlin of Wilde AI</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Patrik Devlin, Co-Founder and CTO at Wilde AI. During the conversation, Patrik talks about his background in software and data engineering, his startup experiences, and the technical intricacies of Wilde&apos;s predictive lifetime value (LTV) product. Key topics include the use of DuckDB and Mother Duck in data architecture, the realities versus marketing of data clean rooms, and the evolution and technical challenges of QR codes. Patrik also discusses Wilde&apos;s data-sharing strategies, the importance of developer experience, future directions in data processing technologies, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Patrik Devlin, Co-Founder and CTO at Wilde AI. During the conversation, Patrik talks about his background in software and data engineering, his startup experiences, and the technical intricacies of Wilde&apos;s predictive lifetime value (LTV) product. Key topics include the use of DuckDB and Mother Duck in data architecture, the realities versus marketing of data clean rooms, and the evolution and technical challenges of QR codes. Patrik also discusses Wilde&apos;s data-sharing strategies, the importance of developer experience, future directions in data processing technologies, and more. </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 11 Nov 2024 09:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Data Sharing Deep Dive and Building Secure, Scalable, Flexible Data Solutions with Patrik Devlin of Wilde AI</itunes:title>
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      <title>214: Will Salesforce Be the Most Successful AI Company? And Do You Need That in Real-Time? Featuring the Cynical Data Guy</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Cynical Data Guy Explanation (00:00:44)</li><li>Marc Benioff's LinkedIn Post (1:28)</li><li>Agent Force Overview (2:23)</li><li>Speculating on the Backstory (4:08)</li><li>Top Comment Reaction (6:22)</li><li>Salesforce's Success in AI (7:30)</li><li>Distribution as a Key Factor (9:10)</li><li>Salesforce's Dashboarding Solution (10:20)</li><li>Data as a Byproduct Discussion (14:22)</li><li>Historical Data Value Debate (17:15)</li><li>Real-Time Data Processing Challenges (19:54)</li><li>Real-Time Data Use Cases (22:10)</li><li>Legacy Systems and Data Management (28:06)</li><li>Psychology of Data Usage (29:15)</li><li>Final Takeaways on Sales and Data (32:21)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 6 Nov 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Cynical Data Guy Explanation (00:00:44)</li><li>Marc Benioff's LinkedIn Post (1:28)</li><li>Agent Force Overview (2:23)</li><li>Speculating on the Backstory (4:08)</li><li>Top Comment Reaction (6:22)</li><li>Salesforce's Success in AI (7:30)</li><li>Distribution as a Key Factor (9:10)</li><li>Salesforce's Dashboarding Solution (10:20)</li><li>Data as a Byproduct Discussion (14:22)</li><li>Historical Data Value Debate (17:15)</li><li>Real-Time Data Processing Challenges (19:54)</li><li>Real-Time Data Use Cases (22:10)</li><li>Legacy Systems and Data Management (28:06)</li><li>Psychology of Data Usage (29:15)</li><li>Final Takeaways on Sales and Data (32:21)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>214: Will Salesforce Be the Most Successful AI Company? And Do You Need That in Real-Time? Featuring the Cynical Data Guy</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, it’s another edition of the Cynical Data Guy as Eric and John welcome Matthew Kelliher-Gibson. The group dives into the complexities of data management in the business world. They critique LinkedIn posts, starting with the announcement of Salesforce&apos;s AI product, Agent Force, discussing its implications and marketing language. The conversation then shifts to the value and waste of data, emphasizing the need for strategic data collection aligned with business goals. They also explore the challenges of real-time data requests and managing legacy systems, offering practical advice and humorous insights on navigating the evolving data landscape. Don’t miss the latest edition of the cynical data guy!</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, it’s another edition of the Cynical Data Guy as Eric and John welcome Matthew Kelliher-Gibson. The group dives into the complexities of data management in the business world. They critique LinkedIn posts, starting with the announcement of Salesforce&apos;s AI product, Agent Force, discussing its implications and marketing language. The conversation then shifts to the value and waste of data, emphasizing the need for strategic data collection aligned with business goals. They also explore the challenges of real-time data requests and managing legacy systems, offering practical advice and humorous insights on navigating the evolving data landscape. Don’t miss the latest edition of the cynical data guy!</itunes:subtitle>
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      <pubDate>Mon, 4 Nov 2024 09:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: A Take on Salesforce Agentforce and More with the Cynical Data Guy</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview the next edition of the Cynical Data Guy with Matthew Kelliher-Gibson.</itunes:summary>
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      <title>213: How AI Can Bring Advanced Data Outcomes to More Businesses featuring Taylor Murphy of Arch</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Taylor's Background and Journey in Data (0:45)</li><li>Modern Data Practices and AI (1:46)</li><li>Arch's Mission and Collaboration (3:02)</li><li>Data Movement and Business Needs (6:12)</li><li>Bundling and Unbundling of Data Tools (8:26)</li><li>Cost of Computing and Data Storage (13:22)</li><li>AI Agent Models in Data Analytics (16:09)</li><li>AI Analyst and Data Democratization (18:34)</li><li>Decentralizing Data Expertise (20:08)</li><li>Anchoring Questions in Business Metrics (23:32)</li><li>Challenges for Mid-Market Companies (27:55)</li><li>Creating Metrics in Organizations (29:53)</li><li>User Experience in AI Interactions (34:54)</li><li>Human-AI Collaboration (36:49)</li><li>Managing AI Agents (39:39)</li><li>Understanding Customer Data Needs (42:47)</li><li>Automation of Data Parsing (45:05)</li><li>Final Thoughts and Takeaways (46:16)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 30 Oct 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Taylor's Background and Journey in Data (0:45)</li><li>Modern Data Practices and AI (1:46)</li><li>Arch's Mission and Collaboration (3:02)</li><li>Data Movement and Business Needs (6:12)</li><li>Bundling and Unbundling of Data Tools (8:26)</li><li>Cost of Computing and Data Storage (13:22)</li><li>AI Agent Models in Data Analytics (16:09)</li><li>AI Analyst and Data Democratization (18:34)</li><li>Decentralizing Data Expertise (20:08)</li><li>Anchoring Questions in Business Metrics (23:32)</li><li>Challenges for Mid-Market Companies (27:55)</li><li>Creating Metrics in Organizations (29:53)</li><li>User Experience in AI Interactions (34:54)</li><li>Human-AI Collaboration (36:49)</li><li>Managing AI Agents (39:39)</li><li>Understanding Customer Data Needs (42:47)</li><li>Automation of Data Parsing (45:05)</li><li>Final Thoughts and Takeaways (46:16)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>213: How AI Can Bring Advanced Data Outcomes to More Businesses featuring Taylor Murphy of Arch</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Taylor Murphy, Founder and CEO of Arch, a data analytics platform. Taylor discusses Arch&apos;s evolution of its vision and delves into the challenges and innovations in the ETL (Extract, Transform, Load) space. The group also discusses the impact of AI on data analytics, the importance of modern data practices. And how AI can enhance data teams&apos; capabilities, emphasizing the necessity of human expertise alongside AI. The episode also explores the commoditization of data storage and compute costs, the bundling of data services, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Taylor Murphy, Founder and CEO of Arch, a data analytics platform. Taylor discusses Arch&apos;s evolution of its vision and delves into the challenges and innovations in the ETL (Extract, Transform, Load) space. The group also discusses the impact of AI on data analytics, the importance of modern data practices. And how AI can enhance data teams&apos; capabilities, emphasizing the necessity of human expertise alongside AI. The episode also explores the commoditization of data storage and compute costs, the bundling of data services, and so much more. </itunes:subtitle>
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      <title>The PRQL: From ETL to AI: Taylor Murphy’s Journey to Transform Data Analytics</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 28 Oct 2024 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: From ETL to AI: Taylor Murphy’s Journey to Transform Data Analytics</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Taylor Murphy of Arch.</itunes:summary>
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      <title>212: Scaling Startups with Purpose: Jonathan Bragdon’s Blueprint for Capital-Efficient Growth</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Jonathan's Background in Data and VC (1:05)</li><li>Working with CPG Data (3:45)</li><li>Details of Purchase Data (6:20)</li><li>Funding Fast-Growth Companies (12:21)</li><li>Venture Studio Model (16:34)</li><li>Learnings from Consulting and Incubation (19:35)</li><li>Founder Obsession (21:54)</li><li>Capital Stack Introduction (24:18)</li><li>Capital Efficiency in Startups (28:05)</li><li>Value Creation in Venture Capital (33:37)</li><li>Revenue-Based Financing (38:43)</li><li>Exit Aperture and Dilution (39:39)</li><li>Importance of Fit in Investment (41:51)</li><li>Setting Expectations Early (44:06)</li><li>Aligning Financial and Problem-Solving Goals (46:21)</li><li>Technical and Process Focus in Startups (49:21)</li><li>Identifying Tech and Process Debt (52:39)</li><li>Advice for Aspiring Founders (54:53)</li><li>The Craft vs. Problem Focus (57:09)</li><li>Final Thoughts and Takeaways (58:48)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 23 Oct 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Jonathan's Background in Data and VC (1:05)</li><li>Working with CPG Data (3:45)</li><li>Details of Purchase Data (6:20)</li><li>Funding Fast-Growth Companies (12:21)</li><li>Venture Studio Model (16:34)</li><li>Learnings from Consulting and Incubation (19:35)</li><li>Founder Obsession (21:54)</li><li>Capital Stack Introduction (24:18)</li><li>Capital Efficiency in Startups (28:05)</li><li>Value Creation in Venture Capital (33:37)</li><li>Revenue-Based Financing (38:43)</li><li>Exit Aperture and Dilution (39:39)</li><li>Importance of Fit in Investment (41:51)</li><li>Setting Expectations Early (44:06)</li><li>Aligning Financial and Problem-Solving Goals (46:21)</li><li>Technical and Process Focus in Startups (49:21)</li><li>Identifying Tech and Process Debt (52:39)</li><li>Advice for Aspiring Founders (54:53)</li><li>The Craft vs. Problem Focus (57:09)</li><li>Final Thoughts and Takeaways (58:48)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>212: Scaling Startups with Purpose: Jonathan Bragdon’s Blueprint for Capital-Efficient Growth</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Jonathan Bragdon, Founding Partner and CEO of Capacity, a venture capital firm. Jonathan shares his journey from consumer packaged goods (CPG) and data technology to venture capital, emphasizing the importance of understanding customer interactions and the challenges of funding early-stage startups. The conversation explores the venture studio model, operational expertise, and the evolving landscape of data usage in business. Jonathan provides insights into the complexities of raising capital, the significance of founder passion, the need for innovative funding strategies in the startup ecosystem, and so much more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Jonathan Bragdon, Founding Partner and CEO of Capacity, a venture capital firm. Jonathan shares his journey from consumer packaged goods (CPG) and data technology to venture capital, emphasizing the importance of understanding customer interactions and the challenges of funding early-stage startups. The conversation explores the venture studio model, operational expertise, and the evolving landscape of data usage in business. Jonathan provides insights into the complexities of raising capital, the significance of founder passion, the need for innovative funding strategies in the startup ecosystem, and so much more.</itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 21 Oct 2024 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: Founder Obsession and Funding Options with Jonathan Bragdon of Capacity</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Jonathan Bragdon of Capacity. </itunes:summary>
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      <title>211: From Classroom to Data Science: Career Advice and AI Trends with Angelica ‘Jelly’ Spratley</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Disney Data and Analytics Conference (1:15)</li><li>Flatiron School Overview (3:51)</li><li>Defining Industry-Ready (4:48)</li><li>Transitioning to Data Science (6:33)</li><li>Teaching KPIs (8:10)</li><li>Self-Advocacy in Career Development (11:22)</li><li>Managerial Credibility (16:11)</li><li>Bridging Academic and Industry Gaps (19:30)</li><li>Managing Projects with Non-Technical Stakeholders (21:35)</li><li>Transitioning from Industry to Teaching (23:38)</li><li>Relating Data Science to Personal Interests (25:32)</li><li>Creating Engaging Learning Experiences (28:42)</li><li>Involvement in Data Literacy Organizations (31:09)</li><li>Addressing AI Concerns in Education (34:16)</li><li>Collaboration for AI Safety (38:22)</li><li>Remote Work Trends (41:09)</li><li>Productivity in Remote vs. Office Settings (44:11)</li><li>Final Thoughts and Takeaways (46:13)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 16 Oct 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Disney Data and Analytics Conference (1:15)</li><li>Flatiron School Overview (3:51)</li><li>Defining Industry-Ready (4:48)</li><li>Transitioning to Data Science (6:33)</li><li>Teaching KPIs (8:10)</li><li>Self-Advocacy in Career Development (11:22)</li><li>Managerial Credibility (16:11)</li><li>Bridging Academic and Industry Gaps (19:30)</li><li>Managing Projects with Non-Technical Stakeholders (21:35)</li><li>Transitioning from Industry to Teaching (23:38)</li><li>Relating Data Science to Personal Interests (25:32)</li><li>Creating Engaging Learning Experiences (28:42)</li><li>Involvement in Data Literacy Organizations (31:09)</li><li>Addressing AI Concerns in Education (34:16)</li><li>Collaboration for AI Safety (38:22)</li><li>Remote Work Trends (41:09)</li><li>Productivity in Remote vs. Office Settings (44:11)</li><li>Final Thoughts and Takeaways (46:13)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>211: From Classroom to Data Science: Career Advice and AI Trends with Angelica ‘Jelly’ Spratley</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Angelica &quot;Jelly&quot; Spratley, a senior data science instructor and content creator at Flatiron School. Jelly shares her journey into data science, her experiences at the Disney Data and Analytics Conference, and her role at Flatiron School. Key topics include the importance of being industry-ready, project-based learning, and self-advocacy in professional development. Jelly also discusses the challenges of working under non-technical managers and the value of technical knowledge in leadership while also data work to business value and continuous learning. Don’t miss this great episode!</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Angelica &quot;Jelly&quot; Spratley, a senior data science instructor and content creator at Flatiron School. Jelly shares her journey into data science, her experiences at the Disney Data and Analytics Conference, and her role at Flatiron School. Key topics include the importance of being industry-ready, project-based learning, and self-advocacy in professional development. Jelly also discusses the challenges of working under non-technical managers and the value of technical knowledge in leadership while also data work to business value and continuous learning. Don’t miss this great episode!</itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com" target="_blank">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 14 Oct 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <itunes:title>The PRQL: Navigating the Data World with Angelica &apos;Jelly&apos; Spratley: Career Transitions, AI Insights, and Industry-Ready Skills</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Reporting and Analytics Discussion (1:09)</li><li>Automation in Reporting (3:16)</li><li>AI's Impact on Analytics (5:00)</li><li>Data Quality Challenges (6:56)</li><li>Reinventing Reporting (9:23)</li><li>Automated Reporting Services (14:35)</li><li>Growth Trajectory of Reporting Tools (16:01)</li><li>Market Size Comparison (18:04)</li><li>Static vs. Time Series Data (21:27)</li><li>Differentiating Reporting and Analytics (26:26)</li><li>Ad Hoc Analysis vs. Reporting (29:52)</li><li>The Role of Data Scientists (34:03)</li><li>Planning the Reset (38:36)</li><li>Focus on Business Problems (41:30)</li><li>Identifying Business Needs (44:01)</li><li>Heuristics and Intuition (48:03)</li><li>Importance of Monitoring (52:20)</li><li>Observability in Analytics (55:53)</li><li>Observability in Metrics (58:08)</li><li>Consistency in Definitions (1:02:39)</li><li>Impact of Changing Definitions and Final Takeaways (1:04:15)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 9 Oct 2024 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Reporting and Analytics Discussion (1:09)</li><li>Automation in Reporting (3:16)</li><li>AI's Impact on Analytics (5:00)</li><li>Data Quality Challenges (6:56)</li><li>Reinventing Reporting (9:23)</li><li>Automated Reporting Services (14:35)</li><li>Growth Trajectory of Reporting Tools (16:01)</li><li>Market Size Comparison (18:04)</li><li>Static vs. Time Series Data (21:27)</li><li>Differentiating Reporting and Analytics (26:26)</li><li>Ad Hoc Analysis vs. Reporting (29:52)</li><li>The Role of Data Scientists (34:03)</li><li>Planning the Reset (38:36)</li><li>Focus on Business Problems (41:30)</li><li>Identifying Business Needs (44:01)</li><li>Heuristics and Intuition (48:03)</li><li>Importance of Monitoring (52:20)</li><li>Observability in Analytics (55:53)</li><li>Observability in Metrics (58:08)</li><li>Consistency in Definitions (1:02:39)</li><li>Impact of Changing Definitions and Final Takeaways (1:04:15)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>210: From Reporting Basics to AI Automation with Eric Dodds and John Wessel: Navigating the Complexities of Data Standardization, Observability, and Business Alignment</itunes:title>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and John talk about the complexities of reporting and analytics in the data industry. They discuss the evolution of job titles, the critical need for standardization, and the challenges of effective reporting. The conversation also highlights the importance of observability, consistency and effective communication between data and business teams. Eric and John also touch on the impact of AI and automation on data quality and reporting processes and emphasize the need for a collaborative approach and robust monitoring systems. This episode provides valuable insights for enhancing data-driven decision-making in various business contexts and so much more.</itunes:subtitle>
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      <title>The PRQL: Back to the Basics: The Importance of Solid Reporting and Analytics</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 7 Oct 2024 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Back to the Basics: The Importance of Solid Reporting and Analytics</itunes:title>
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      <title>209: Storytime with Cynical Data Guy: Data Projects, $50K Web Scraping Fails, and the Role of CDOs</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Previewing the Next Cynical Data Guy Episode (0:13)</li><li>Story Time: Coolest Data Project You’ve Worked On (1:13)</li><li>Failed Web Scraping Project (3:40)</li><li>Building a Neural Net for Matching (5:22)</li><li>Rebuilding the Project Strategy (7:04)</li><li>Project Completion and Politics (9:35)</li><li>Agreeable Data Guy's Pricing Story (11:00)</li><li>Balancing Advanced and Simple Solutions (14:15)</li><li>Insights from Pricing Team Meetings (16:19)</li><li>Building for Scale vs. Immediate Needs (18:29)</li><li>Open Source Data Formats (19:46)</li><li>Disaster Recovery Experiences (22:34)</li><li>Reflections on Chief Data Officers (25:01)</li><li>Cynicism in Data Projects (28:19)</li><li>Final Thoughts and Takeaways (30:20)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 2 Oct 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Previewing the Next Cynical Data Guy Episode (0:13)</li><li>Story Time: Coolest Data Project You’ve Worked On (1:13)</li><li>Failed Web Scraping Project (3:40)</li><li>Building a Neural Net for Matching (5:22)</li><li>Rebuilding the Project Strategy (7:04)</li><li>Project Completion and Politics (9:35)</li><li>Agreeable Data Guy's Pricing Story (11:00)</li><li>Balancing Advanced and Simple Solutions (14:15)</li><li>Insights from Pricing Team Meetings (16:19)</li><li>Building for Scale vs. Immediate Needs (18:29)</li><li>Open Source Data Formats (19:46)</li><li>Disaster Recovery Experiences (22:34)</li><li>Reflections on Chief Data Officers (25:01)</li><li>Cynicism in Data Projects (28:19)</li><li>Final Thoughts and Takeaways (30:20)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>209: Storytime with Cynical Data Guy: Data Projects, $50K Web Scraping Fails, and the Role of CDOs</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, it’s another edition of the Cynical Data Guy as Eric and John welcome back Matthew Kelliher-Gibson. The group shares personal anecdotes about their experiences with data projects in corporate settings. They discuss the challenges and successes of working with pricing data and web scraping, emphasizing the importance of understanding manual processes before implementing automation. Eric recounts a project where his team improved data accuracy using a neural network, while John highlights the benefits of manual data review. The episode balances cynical and optimistic perspectives, offering valuable insights into the technical, business, and human aspects of data work. Don’t miss this edition of the Cynical Data Guy. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, it’s another edition of the Cynical Data Guy as Eric and John welcome back Matthew Kelliher-Gibson. The group shares personal anecdotes about their experiences with data projects in corporate settings. They discuss the challenges and successes of working with pricing data and web scraping, emphasizing the importance of understanding manual processes before implementing automation. Eric recounts a project where his team improved data accuracy using a neural network, while John highlights the benefits of manual data review. The episode balances cynical and optimistic perspectives, offering valuable insights into the technical, business, and human aspects of data work. Don’t miss this edition of the Cynical Data Guy. </itunes:subtitle>
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      <pubDate>Mon, 30 Sep 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
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      <title>208: The Intersection of AI Safety and Innovation: Insights from Soheil Koushan on LLMs, Vision, and Responsible AI Development</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Soheil’s Background and Journey in AI (0:40)</li><li>Anthropic's Philosophy on Safety (1:21)</li><li>Key Moments in AI Discovery (2:52)</li><li>Computer Vision Applications (4:42)</li><li>Magic vs. Reality in AI (7:35)</li><li>Product Development at Anthropic (12:57)</li><li>Tension Between Research and Product (14:36)</li><li>Safety as a Capability (17:33)</li><li>Community Notes and Democracy in AI (20:41)</li><li>Expert Panels for Safety (21:38)</li><li>Post-Training Data Quality (23:32)</li><li>User Data and Privacy (25:32)</li><li>Test Time Compute Paradigm (30:54)</li><li>The Future of AI Interfaces (36:04)</li><li>Advancements in Computer Vision (38:46)</li><li>The Role of AGI in AI Development (41:52)</li><li>Final Thoughts and Takeaways (43:07)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 25 Sep 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Soheil’s Background and Journey in AI (0:40)</li><li>Anthropic's Philosophy on Safety (1:21)</li><li>Key Moments in AI Discovery (2:52)</li><li>Computer Vision Applications (4:42)</li><li>Magic vs. Reality in AI (7:35)</li><li>Product Development at Anthropic (12:57)</li><li>Tension Between Research and Product (14:36)</li><li>Safety as a Capability (17:33)</li><li>Community Notes and Democracy in AI (20:41)</li><li>Expert Panels for Safety (21:38)</li><li>Post-Training Data Quality (23:32)</li><li>User Data and Privacy (25:32)</li><li>Test Time Compute Paradigm (30:54)</li><li>The Future of AI Interfaces (36:04)</li><li>Advancements in Computer Vision (38:46)</li><li>The Role of AGI in AI Development (41:52)</li><li>Final Thoughts and Takeaways (43:07)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>208: The Intersection of AI Safety and Innovation: Insights from Soheil Koushan on LLMs, Vision, and Responsible AI Development</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Soheil Koushan, a member of the Technical Staff at Anthropic. During the conversation, Soheil discusses his journey from self-driving technology to his current work at Anthropic, focusing on AI safety and cloud capabilities. The conversation also explores the allure of machine learning, the challenges of ensuring AI safety, and the dynamic between research and product development. The group emphasizes the importance of responsible AI development and the complexities of defining safety across different cultures while also highlighting the transformative potential of AI and the need for ongoing dialogue about its implications, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Soheil Koushan, a member of the Technical Staff at Anthropic. During the conversation, Soheil discusses his journey from self-driving technology to his current work at Anthropic, focusing on AI safety and cloud capabilities. The conversation also explores the allure of machine learning, the challenges of ensuring AI safety, and the dynamic between research and product development. The group emphasizes the importance of responsible AI development and the complexities of defining safety across different cultures while also highlighting the transformative potential of AI and the need for ongoing dialogue about its implications, and so much more. </itunes:subtitle>
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      <title>The PRQL: Balancing Safety and Innovation for AI with Soheil Koushan of Anthropic</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com/">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 23 Sep 2024 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Balancing Safety and Innovation for AI with Soheil Koushan of Anthropic</itunes:title>
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      <pubDate>Wed, 18 Sep 2024 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Welcome to another episode of the Cynical Data Guys (0:24)</li><li>Post on Short Sellers in Data (1:36)</li><li>Investment Areas in Data (4:04)</li><li>Teaching Git with GUI (9:00)</li><li>Understanding Data Scientist Roles (12:25)</li><li>Interview Process Critique (15:39)</li><li>Hiring Process Challenges (19:19)</li><li>Defining Team Fit (21:05)</li><li>Effective Hiring Framework (23:05)</li><li>Cynical Take on Trust Issues (25:02)</li><li>Final Thoughts and Takeaways (26:05)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>207: Why Niche Data Tools Fail, Broken Hiring Processes, and the GUI vs. Command Line Showdown with The Cynical Data Guy</itunes:title>
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      <pubDate>Mon, 16 Sep 2024 08:30:00 +0000</pubDate>
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      <pubDate>Wed, 11 Sep 2024 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Edward's Background and Journey in Data (0:44)</li><li>P&L Ownership Discussion (1:15)</li><li>Challenges in Profit Ownership (3:38)</li><li>Data Team Dynamics (5:52)</li><li>Role Clarity Between CFO and CDO (7:31)</li><li>Nuances of Data Leadership (11:24)</li><li>Focus on Relevance in Data Work (14:05)</li><li>Best Buy's Personalization Project (18:39)</li><li>Building a Data Stack (21:00)</li><li>Crowd-Driven Algorithms (25:26)</li><li>Event-Based Personalization (28:12)</li><li>Corporate Politics and Implementation (31:00)</li><li>In-Store Experience Innovations (33:16)</li><li>Impact of Data Science at Best Buy (37:14)</li><li>The Importance of Data Teams in AI Implementation (39:19)</li><li>Using AI Conversationally (42:09)</li><li>Book Recommendations for Data Leaders (44:24)</li><li>Final Thoughts and Takeaways (47:05)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>206: Reviving Old-School Customer Experiences Through Modern Data Strategies, Featuring Edward Chenard, Seasoned Data Leader and Analytics Officer</itunes:title>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Edward Chenard, a seasoned data leader with experience in both large enterprises and startups. During the conversation, the group discusses Edward&apos;s career in data analytics, emphasizing the importance of P&amp;L ownership for data leaders. The conversation explores the complexities of building effective data teams, the distinctions between data analytics and software engineering, and the transformative impact of AI. Edward also shares insights on personalization in business, drawing from his experiences at companies like Best Buy, and highlights the need for deep thinking and customer engagement in data initiatives. Don’t miss this great conversation!</itunes:subtitle>
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      <pubDate>Mon, 9 Sep 2024 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Nicolay’s Background and Journey in AI (0:39)</li><li>Milestones in LLMs (4:30)</li><li>Barriers to Effective Use of LLMs (6:39)</li><li>Data-Centric AI Approach (10:17)</li><li>Importance of Data Over Model Tuning (12:20)</li><li>Capabilities of LLMs (15:08)</li><li>Challenges in Structuring Data (18:28)</li><li>JSON Generation Techniques (20:28)</li><li>Utilizing Unused Data (22:36)</li><li>Importance of Monitoring in AI (34:11)</li><li>Challenges in AI Testing (37:40)</li><li>Error Tracing in AI vs. Software (39:24)</li><li>The AI Startup Landscape (40:53)</li><li>Marketing for Technical Founders (42:41)</li><li>Generative AI Hype Cycle (44:33)</li><li>Connecting with Nicolay and Final Takeaways (47:59)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 4 Sep 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Nicolay’s Background and Journey in AI (0:39)</li><li>Milestones in LLMs (4:30)</li><li>Barriers to Effective Use of LLMs (6:39)</li><li>Data-Centric AI Approach (10:17)</li><li>Importance of Data Over Model Tuning (12:20)</li><li>Capabilities of LLMs (15:08)</li><li>Challenges in Structuring Data (18:28)</li><li>JSON Generation Techniques (20:28)</li><li>Utilizing Unused Data (22:36)</li><li>Importance of Monitoring in AI (34:11)</li><li>Challenges in AI Testing (37:40)</li><li>Error Tracing in AI vs. Software (39:24)</li><li>The AI Startup Landscape (40:53)</li><li>Marketing for Technical Founders (42:41)</li><li>Generative AI Hype Cycle (44:33)</li><li>Connecting with Nicolay and Final Takeaways (47:59)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>205: How to make LLMs Boring (Predictable, Reliable, and Safe), Featuring Nicolay Gerold</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, John and guest host Matthew Kelliher-Gibson welcome Nicolay Gerold, CEO and Founder, Aisbach, and host of How AI is Built podcast. The group delves into the evolution, strengths, and challenges of language models (LLMs) and AI. Nicolay shares insights on data-centric AI approaches, practical applications like data extraction and content generation, and the importance of aligning LLMs with user preferences. The conversation also explores the current AI startup landscape, the hype around generative AI, the necessity of thorough testing and monitoring in AI applications, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, John and guest host Matthew Kelliher-Gibson welcome Nicolay Gerold, CEO and Founder, Aisbach, and host of How AI is Built podcast. The group delves into the evolution, strengths, and challenges of language models (LLMs) and AI. Nicolay shares insights on data-centric AI approaches, practical applications like data extraction and content generation, and the importance of aligning LLMs with user preferences. The conversation also explores the current AI startup landscape, the hype around generative AI, the necessity of thorough testing and monitoring in AI applications, and so much more. </itunes:subtitle>
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      <pubDate>Mon, 2 Sep 2024 08:30:00 +0000</pubDate>
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      <pubDate>Wed, 28 Aug 2024 08:30:00 +0000</pubDate>
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      <itunes:title>204: Will a Duck DB-Like Excel Emerge by 2075? And Is Data Every Company’s Most Valuable Asset? Featuring Benn Stancil of Mode</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Spencer's Background at Braze (1:54)</li><li>The Early Days of Braze (2:41)</li><li>Finding Product-Market Fit (4:44)</li><li>First Major Customer (6:33)</li><li>Unique Aspects of Braze's Growth Team (8:07)</li><li>Startup Culture Experience (10:40)</li><li>Data and Marketing Perspectives (12:50)</li><li>Common Marketing Data Challenges (15:50)</li><li>Changing Dynamics in Marketing Tech (18:12)</li><li>Evaluating Marketing Tools (19:38)</li><li>Transformation of Marketing Tools (22:18)</li><li>Marketers Becoming More Technical (24:10)</li><li>API Utilization in Marketing (25:46)</li><li>Connecting Customer Experience (29:09)</li><li>Flexibility in Data Integration (32:05)</li><li>Pushing vs. Pulling Data (34:35)</li><li>Anomaly Detection in Data Reporting (37:02)</li><li>Understanding the Importance of Core KPIs (39:09)</li><li>Making Data More Consumable (42:38)</li><li>Final Thoughts and Takeaways (44:51)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 21 Aug 2024 08:30:00 +0000</pubDate>
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      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Spencer's Background at Braze (1:54)</li><li>The Early Days of Braze (2:41)</li><li>Finding Product-Market Fit (4:44)</li><li>First Major Customer (6:33)</li><li>Unique Aspects of Braze's Growth Team (8:07)</li><li>Startup Culture Experience (10:40)</li><li>Data and Marketing Perspectives (12:50)</li><li>Common Marketing Data Challenges (15:50)</li><li>Changing Dynamics in Marketing Tech (18:12)</li><li>Evaluating Marketing Tools (19:38)</li><li>Transformation of Marketing Tools (22:18)</li><li>Marketers Becoming More Technical (24:10)</li><li>API Utilization in Marketing (25:46)</li><li>Connecting Customer Experience (29:09)</li><li>Flexibility in Data Integration (32:05)</li><li>Pushing vs. Pulling Data (34:35)</li><li>Anomaly Detection in Data Reporting (37:02)</li><li>Understanding the Importance of Core KPIs (39:09)</li><li>Making Data More Consumable (42:38)</li><li>Final Thoughts and Takeaways (44:51)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Spencer Burke, Senior Vice President of Growth at Braze. Spencer shares his 13-year journey at Braze, discussing the company&apos;s evolution and the critical intersection of marketing and data. The conversation highlights the challenges marketers face in leveraging data effectively, the necessity of clean data for successful campaigns, and the often-fractured collaboration between marketing and data teams. Emphasizing the importance of improved integration and communication, the episode underscores how these elements drive successful customer engagement and marketing strategies. You won’t want to miss it. </itunes:subtitle>
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      <pubDate>Wed, 14 Aug 2024 08:30:00 +0000</pubDate>
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      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Evan's Background and Journey in Data (0:40)</li><li>Discussion on Synthetic Controls (1:04)</li><li>Evan's Educational Journey and Marine Corps Experience (2:54)</li><li>Joining Elder Research (4:38)</li><li>Synthetic Controls Explained (6:54)</li><li>Measuring Impact with Synthetic Controls (9:05)</li><li>Building the Control Group (12:54)</li><li>Qualitative Context in Data Analysis (14:50)</li><li>Final Steps with Synthetic Controls (16:29)</li><li>Client Analytics Maturity (18:56)</li><li>Outsourcing Decisions in Analytics (21:09)</li><li>Cohesion Between Analytics Teams (24:18)</li><li>Validation of Predictive Models (26:37)</li><li>Confidence in Marketing Predictions (29:01)</li><li>Setting Expectations for Data Science (36:09)</li><li>Evan's Background in Data Comedy (39:44)</li><li>The Journey to Award-Winning Jokes (41:29)</li><li>Creating New Jokes (46:22)</li><li>Get the Joke Book and Final Thoughts in the Episode (48:46)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:summary>This week on The Data Stack Show, Eric and John welcome Evan Wimpey, Director of Analytics Strategy at Elder Research. During the episode, Evan shares his diverse background, including his Marine Corps experience, and delves into the concept of synthetic controls in data science. Evan explains how synthetic controls create theoretical models to measure the impact of new competitors on existing businesses. The conversation also covers the importance of qualitative context in data analysis, challenges in communicating data insights, and Evan&apos;s unique venture into data-related comedy, highlighting his book &quot;Predictable Jokes.&quot; Trust us, you won’t want to miss this episode! </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John welcome Evan Wimpey, Director of Analytics Strategy at Elder Research. During the episode, Evan shares his diverse background, including his Marine Corps experience, and delves into the concept of synthetic controls in data science. Evan explains how synthetic controls create theoretical models to measure the impact of new competitors on existing businesses. The conversation also covers the importance of qualitative context in data analysis, challenges in communicating data insights, and Evan&apos;s unique venture into data-related comedy, highlighting his book &quot;Predictable Jokes.&quot; Trust us, you won’t want to miss this episode! </itunes:subtitle>
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      <title>The PRQL: Data Comedy and Synthetic Controls with Evan Wimpey of Elder Research</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 12 Aug 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: Data Comedy and Synthetic Controls with Evan Wimpey of Elder Research</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Evan Wimpey of Elder Research.</itunes:summary>
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      <title>201: AI Real-Talk: Uncovering the Good, Bad and Ugly Through Prototyping with Eric, John, and Matt</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Current State of LLMs (1:12)</li><li>Historical Analogy to the iPhone (3:32)</li><li>Limitations of Early iPhones (5:02)</li><li>Comparing LLMs to Historical Technologies (6:08)</li><li>Skepticism About LLM Capabilities (9:11)</li><li>Broad Nature of AI Innovations (10:12)</li><li>User Input Challenges (14:32)</li><li>Transcription and Unstructured Data (16:19)</li><li>Single Player vs. Multiplayer Experiences with LLMs (18:50)</li><li>Revenue Insights from ChatGPT (20:27)</li><li>Contextual Use of LLMs in Development (23:43)</li><li>Implications of Human Involvement (26:15)</li><li>The Role of Human Feedback (29:19)</li><li>Customer Data Management and LLMs (31:25)</li><li>Streamlining Data Engineering Processes (34:24)</li><li>Prototyping Content Recommendations (37:42)</li><li>Summarizing Content for LLMs (39:51)</li><li>Challenges with Output Quality (41:18)</li><li>Data Formatting for Marketing Use (43:20)</li><li>Efficient Workflow Integration (46:20)</li><li>Exploring New Prototyping Techniques (50:56)</li><li>Distance Metrics for Improved Relevance (53:00)</li><li>Improving Search Techniques (56:46)</li><li>Utilizing LLMs in Customer Data (59:15)</li><li>Challenges in Customer Data Processing (1:01:10)</li><li>Final thoughts and takeaways (1:02:12)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 7 Aug 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Current State of LLMs (1:12)</li><li>Historical Analogy to the iPhone (3:32)</li><li>Limitations of Early iPhones (5:02)</li><li>Comparing LLMs to Historical Technologies (6:08)</li><li>Skepticism About LLM Capabilities (9:11)</li><li>Broad Nature of AI Innovations (10:12)</li><li>User Input Challenges (14:32)</li><li>Transcription and Unstructured Data (16:19)</li><li>Single Player vs. Multiplayer Experiences with LLMs (18:50)</li><li>Revenue Insights from ChatGPT (20:27)</li><li>Contextual Use of LLMs in Development (23:43)</li><li>Implications of Human Involvement (26:15)</li><li>The Role of Human Feedback (29:19)</li><li>Customer Data Management and LLMs (31:25)</li><li>Streamlining Data Engineering Processes (34:24)</li><li>Prototyping Content Recommendations (37:42)</li><li>Summarizing Content for LLMs (39:51)</li><li>Challenges with Output Quality (41:18)</li><li>Data Formatting for Marketing Use (43:20)</li><li>Efficient Workflow Integration (46:20)</li><li>Exploring New Prototyping Techniques (50:56)</li><li>Distance Metrics for Improved Relevance (53:00)</li><li>Improving Search Techniques (56:46)</li><li>Utilizing LLMs in Customer Data (59:15)</li><li>Challenges in Customer Data Processing (1:01:10)</li><li>Final thoughts and takeaways (1:02:12)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>201: AI Real-Talk: Uncovering the Good, Bad and Ugly Through Prototyping with Eric, John, and Matt</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, it’s a RudderStack round table as Eric and John are joined by Matthew Kelliher-Gibson. Together they delve into the current state and future potential of large language models (LLMs) and artificial intelligence (AI). The group discusses the hype versus reality of LLMs, their practical applications, and the challenges of implementing them in production environments. Drawing parallels to the early days of the iPhone, they explore the transformative potential of LLMs while acknowledging their limitations. The episode provides insights into AI&apos;s evolving landscape, emphasizing the importance of understanding token limits, practical use cases, the integration of LLMs with customer data, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, it’s a RudderStack round table as Eric and John are joined by Matthew Kelliher-Gibson. Together they delve into the current state and future potential of large language models (LLMs) and artificial intelligence (AI). The group discusses the hype versus reality of LLMs, their practical applications, and the challenges of implementing them in production environments. Drawing parallels to the early days of the iPhone, they explore the transformative potential of LLMs while acknowledging their limitations. The episode provides insights into AI&apos;s evolving landscape, emphasizing the importance of understanding token limits, practical use cases, the integration of LLMs with customer data, and more. </itunes:subtitle>
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      <title>The PRQL: AI Roundtable: Putting AI in Historical Context and Real-Life Learnings Through Prototyping, with Eric, John, and Matt</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 5 Aug 2024 08:30:00 +0000</pubDate>
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      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: AI Roundtable: Putting AI in Historical Context and Real-Life Learnings Through Prototyping, with Eric, John, and Matt</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their roundtable discussion with MKG on all things AI. </itunes:summary>
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      <title>200: Data Team Struggles: Telling Stakeholders the Truth vs. What They Want to Hear (How to Tell The Truth, Tactfully)</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Lightning Round Discussion (1:21)</li><li>Data Team's Truthfulness (2:21)</li><li>Culture as a Blocker (9:10)</li><li>Misconceptions about Data Jobs (10:32)</li><li>Cultural and Technological Influences (11:51)</li><li>Challenges in Data Science Projects (15:19)</li><li>Embracing the Process (17:23)</li><li>Barriers to Entry (19:36)</li><li>Hiring Data Leaders (22:06)</li><li>Challenges of Data Leadership (25:38)</li><li>Evolving Hiring Criteria (27:30)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 31 Jul 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Lightning Round Discussion (1:21)</li><li>Data Team's Truthfulness (2:21)</li><li>Culture as a Blocker (9:10)</li><li>Misconceptions about Data Jobs (10:32)</li><li>Cultural and Technological Influences (11:51)</li><li>Challenges in Data Science Projects (15:19)</li><li>Embracing the Process (17:23)</li><li>Barriers to Entry (19:36)</li><li>Hiring Data Leaders (22:06)</li><li>Challenges of Data Leadership (25:38)</li><li>Evolving Hiring Criteria (27:30)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>200: Data Team Struggles: Telling Stakeholders the Truth vs. What They Want to Hear (How to Tell The Truth, Tactfully)</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, it’s the next rendition of the Cynical Data Guy. Eric and John are joined by Matthew Kelliher-Gibson, the Cynical Data Guy, for their monthly discussion. They engage in a lightning round, analyzing various LinkedIn posts related to data and data science. Topics include data teams&apos; transparency with stakeholders, simplifying complex data, generative AI&apos;s role in cultural adoption, and the impact of the &quot;sexiest job of the 21st century&quot; article on data science careers. The group also discusses the influence of &quot;Moneyball&quot; on data science perceptions, the importance of understanding data models, and more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, it’s the next rendition of the Cynical Data Guy. Eric and John are joined by Matthew Kelliher-Gibson, the Cynical Data Guy, for their monthly discussion. They engage in a lightning round, analyzing various LinkedIn posts related to data and data science. Topics include data teams&apos; transparency with stakeholders, simplifying complex data, generative AI&apos;s role in cultural adoption, and the impact of the &quot;sexiest job of the 21st century&quot; article on data science careers. The group also discusses the influence of &quot;Moneyball&quot; on data science perceptions, the importance of understanding data models, and more.</itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 29 Jul 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: Jaded Takes on Data Linkedin</itunes:title>
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      <title>199: How To Use Data Analytics and AI To Increase Profitability With Smarter Procurement, Featuring Cameron Jagoe of ProcureVue</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Cameron's Background and Journey in Data (1:49)</li><li>Running a Bakery (3:03)</li><li>Applying Analytics to Bakery Operations (7:07)</li><li>Reevaluating Business Operations (18:08)</li><li>Optimizing for Profitability (19:09)</li><li>Working at Newell Rubbermaid (20:11)</li><li>Value Engineering Projects (22:11)</li><li>Starting a Center of Excellence (24:53)</li><li>Productizing the Approach (29:48)</li><li>Tech Stack for Data Analysis (31:40)</li><li>Data Cleaning and Classification (35:16)</li><li>Market Build and Pricing Accuracy (37:13)</li><li>The AI Tool as a Pointy Stick (38:20)</li><li>Sourcing and Sales as Two Sides of the Coin (41:04)</li><li>Challenges with Parsing Data (44:06)</li><li>Personal Journey and Company Success (46:44)</li><li>Final thoughts and takeaways (47:45)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 24 Jul 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Cameron's Background and Journey in Data (1:49)</li><li>Running a Bakery (3:03)</li><li>Applying Analytics to Bakery Operations (7:07)</li><li>Reevaluating Business Operations (18:08)</li><li>Optimizing for Profitability (19:09)</li><li>Working at Newell Rubbermaid (20:11)</li><li>Value Engineering Projects (22:11)</li><li>Starting a Center of Excellence (24:53)</li><li>Productizing the Approach (29:48)</li><li>Tech Stack for Data Analysis (31:40)</li><li>Data Cleaning and Classification (35:16)</li><li>Market Build and Pricing Accuracy (37:13)</li><li>The AI Tool as a Pointy Stick (38:20)</li><li>Sourcing and Sales as Two Sides of the Coin (41:04)</li><li>Challenges with Parsing Data (44:06)</li><li>Personal Journey and Company Success (46:44)</li><li>Final thoughts and takeaways (47:45)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>199: How To Use Data Analytics and AI To Increase Profitability With Smarter Procurement, Featuring Cameron Jagoe of ProcureVue</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John chat with Cameron Jagoe, Co-Founder and CEO of ProcureVue. Cameron discusses his journey from running a bakery, where he used data analytics to tackle profitability issues, to co-founding ProcureVue. He shares insights on optimizing business operations through strategic sourcing and data-driven decision-making. Cameron also highlights his work at Newell Rubbermaid, where he improved profitability through cost-cutting and value engineering. The conversation delves into the technical aspects of ProcureVue, emphasizing its role in driving cost savings and improving procurement processes for businesses, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John chat with Cameron Jagoe, Co-Founder and CEO of ProcureVue. Cameron discusses his journey from running a bakery, where he used data analytics to tackle profitability issues, to co-founding ProcureVue. He shares insights on optimizing business operations through strategic sourcing and data-driven decision-making. Cameron also highlights his work at Newell Rubbermaid, where he improved profitability through cost-cutting and value engineering. The conversation delves into the technical aspects of ProcureVue, emphasizing its role in driving cost savings and improving procurement processes for businesses, and so much more. </itunes:subtitle>
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      <pubDate>Mon, 22 Jul 2024 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Better Analytics, Smarter Purchasing, and Improved Profitability with Cameron Jagoe of ProcureVue</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Jesse’s background and work in data (0:35)</li><li>E-commerce Application for Search (1:23)</li><li>Ph.D. in Physics Experience Then Working in Data (2:27)</li><li>Early Machine Learning Journey (4:35)</li><li>Machine Learning at Stitch Fix (7:28)</li><li>Machine Learning at Amazon (10:39)</li><li>Myths and Realities of AI (13:49)</li><li>Bolt-On AI vs. Native AI (17:26)</li><li>Overview of Marqo (19:46)</li><li>Product launch and fine-tuning models (23:02)</li><li>Importance of data quality (25:38)</li><li>The power of machine learning in search (32:02)</li><li>Future of domain-specific knowledge and product data (34:08)</li><li>Unstructured data and AI (37:19)</li><li>Technical aspects of Marqo's system (39:42)</li><li>Challenges of vector search (43:27)</li><li>Evolution of search technology (48:15)</li><li>Future of search interfaces (50:43)</li><li>Final thoughts and takeaways (51:53)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 17 Jul 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Jesse’s background and work in data (0:35)</li><li>E-commerce Application for Search (1:23)</li><li>Ph.D. in Physics Experience Then Working in Data (2:27)</li><li>Early Machine Learning Journey (4:35)</li><li>Machine Learning at Stitch Fix (7:28)</li><li>Machine Learning at Amazon (10:39)</li><li>Myths and Realities of AI (13:49)</li><li>Bolt-On AI vs. Native AI (17:26)</li><li>Overview of Marqo (19:46)</li><li>Product launch and fine-tuning models (23:02)</li><li>Importance of data quality (25:38)</li><li>The power of machine learning in search (32:02)</li><li>Future of domain-specific knowledge and product data (34:08)</li><li>Unstructured data and AI (37:19)</li><li>Technical aspects of Marqo's system (39:42)</li><li>Challenges of vector search (43:27)</li><li>Evolution of search technology (48:15)</li><li>Future of search interfaces (50:43)</li><li>Final thoughts and takeaways (51:53)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>198: Building AI Search and Customer-Enabled Fine-Tuning with Jesse Clark of Marqo.ai</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, Eric and John chat with Jesse Clark, the Co-Founder &amp; CTO of Marqo.ai. During the episode, Jesse discusses the evolution of AI and machine learning in enhancing search capabilities, particularly in e-commerce. The group explores the concept of vector search and its advantages over traditional keyword-based methods. The conversation also touches on the challenges of searching for specific items, like car parts for Land Cruisers in Australia, due to the complexity of part numbers and interchangeability. They delve into the difficulties of dealing with unstructured data, such as information locked in PDFs and manuals, and how Marqo is developing AI to search and incorporate this data into relevant results. The episode covers the technical aspects of customizing embedding and language models for better search outcomes and the potential of language models to connect different data modalities for advanced search experiences, the future of interfaces, the role of new technology in search experiences, and more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John chat with Jesse Clark, the Co-Founder &amp; CTO of Marqo.ai. During the episode, Jesse discusses the evolution of AI and machine learning in enhancing search capabilities, particularly in e-commerce. The group explores the concept of vector search and its advantages over traditional keyword-based methods. The conversation also touches on the challenges of searching for specific items, like car parts for Land Cruisers in Australia, due to the complexity of part numbers and interchangeability. They delve into the difficulties of dealing with unstructured data, such as information locked in PDFs and manuals, and how Marqo is developing AI to search and incorporate this data into relevant results. The episode covers the technical aspects of customizing embedding and language models for better search outcomes and the potential of language models to connect different data modalities for advanced search experiences, the future of interfaces, the role of new technology in search experiences, and more.</itunes:subtitle>
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      <pubDate>Mon, 15 Jul 2024 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Exploring the Evolution of AI and ML in E-commerce Search Optimization with Jesse Clark of Marqo.ai</itunes:title>
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      <title>197: Deep Dive: How to Build AI Features and Why it is So Dang Hard with Barry McCardle of Hex</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Overview of Hex and its Purpose (0:51)</li><li>Discussion on AI and Data Collaboration (1:42)</li><li>Product Updates in Hex (2:14)</li><li>Challenges of Building AI Features (13:29)</li><li>Magic Features and AI Context (15:22)</li><li>Chatbots and UI (17:31)</li><li>Benchmarking AI Models (19:06)</li><li>AI as a Judge Pattern (23:32)</li><li>Challenges in AI Development (25:31)</li><li>AI in Production and Product Integration (28:43)</li><li>Difficulties in AI Feature Prediction (33:38)</li><li>Deterministic template selection and AI model uncertainty (36:21)</li><li>Infrastructure for AI experimentation and evaluation (40:11)</li><li>Consolidation and competition in the data stack industry (42:27)</li><li>Data gravity, integration, and market dynamics (47:12)</li><li>Enterprise adoption and the bundling and unbundling of platforms (51:03)</li><li>The open source databases and the middle ground (53:18)</li><li>Building successful open source businesses (57:00)</li><li>The fun approach to product launch video (1:01:14)</li><li>Final thoughts and takeaways (01:03:15)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 10 Jul 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Overview of Hex and its Purpose (0:51)</li><li>Discussion on AI and Data Collaboration (1:42)</li><li>Product Updates in Hex (2:14)</li><li>Challenges of Building AI Features (13:29)</li><li>Magic Features and AI Context (15:22)</li><li>Chatbots and UI (17:31)</li><li>Benchmarking AI Models (19:06)</li><li>AI as a Judge Pattern (23:32)</li><li>Challenges in AI Development (25:31)</li><li>AI in Production and Product Integration (28:43)</li><li>Difficulties in AI Feature Prediction (33:38)</li><li>Deterministic template selection and AI model uncertainty (36:21)</li><li>Infrastructure for AI experimentation and evaluation (40:11)</li><li>Consolidation and competition in the data stack industry (42:27)</li><li>Data gravity, integration, and market dynamics (47:12)</li><li>Enterprise adoption and the bundling and unbundling of platforms (51:03)</li><li>The open source databases and the middle ground (53:18)</li><li>Building successful open source businesses (57:00)</li><li>The fun approach to product launch video (1:01:14)</li><li>Final thoughts and takeaways (01:03:15)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>197: Deep Dive: How to Build AI Features and Why it is So Dang Hard with Barry McCardle of Hex</itunes:title>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and John chat with Barry McCardel from Hex. They delve into the technical, business, and human challenges of data work, emphasizing AI and data collaboration. The discussion also covers Hex&apos;s product updates, the complexities of building AI features, and AI&apos;s impact on data teams. The group explores the unpredictability of AI, the need for extensive evaluation, and the iterative process of refining AI models. The conversation wraps up by touching on industry consolidation, vendor competition, the dynamics of cloud platforms and open source technology, and more. </itunes:subtitle>
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      <pubDate>Mon, 8 Jul 2024 08:30:00 +0000</pubDate>
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      <title>196: Why Big Query Was a Big Deal, Observability AI, and How AI is Like a Guy at the Bar, Featuring David Wynn of Edge Delta</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>David’s Background and Career (0:49)</li><li>Econometrics Work at UPS (3:14)</li><li>Challenges with Time Series Data and Tools (7:15)</li><li>Working at Google Cloud (11:28)</li><li>BigQuery's Significance (13:51)</li><li>Comparison of Data Warehouse Products (17:23)</li><li>Learning different cloud platforms (20:17)</li><li>Coherence in GCP (23:04)</li><li>Observability and data analysis (32:44)</li><li>Support for Iceberg format in BigQuery (36:31)</li><li>AI in Observability (40:25)</li><li>AI's Role in Observability (43:39)</li><li>AI and Mental Models (46:04)</li><li>Final thoughts and takeaways (48:32)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 3 Jul 2024 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>David’s Background and Career (0:49)</li><li>Econometrics Work at UPS (3:14)</li><li>Challenges with Time Series Data and Tools (7:15)</li><li>Working at Google Cloud (11:28)</li><li>BigQuery's Significance (13:51)</li><li>Comparison of Data Warehouse Products (17:23)</li><li>Learning different cloud platforms (20:17)</li><li>Coherence in GCP (23:04)</li><li>Observability and data analysis (32:44)</li><li>Support for Iceberg format in BigQuery (36:31)</li><li>AI in Observability (40:25)</li><li>AI's Role in Observability (43:39)</li><li>AI and Mental Models (46:04)</li><li>Final thoughts and takeaways (48:32)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>196: Why Big Query Was a Big Deal, Observability AI, and How AI is Like a Guy at the Bar, Featuring David Wynn of Edge Delta</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John chat with David Wynn of Edge Delta. During the conversation, Dave shared his background, including his econometrics work at UPS during the 2008 recession and his tenure at Google Cloud, where he focused on BigQuery and customer-facing architecture in the gaming industry. The discussion covers the landscape of data warehouse products like Snowflake and Databricks, the complexities of cloud platforms, and the challenges of observability. They also delve into the cautious integration of AI in observability, emphasizing the need for better mental models and practical approaches, and so much more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John chat with David Wynn of Edge Delta. During the conversation, Dave shared his background, including his econometrics work at UPS during the 2008 recession and his tenure at Google Cloud, where he focused on BigQuery and customer-facing architecture in the gaming industry. The discussion covers the landscape of data warehouse products like Snowflake and Databricks, the complexities of cloud platforms, and the challenges of observability. They also delve into the cautious integration of AI in observability, emphasizing the need for better mental models and practical approaches, and so much more. </itunes:subtitle>
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      <pubDate>Mon, 1 Jul 2024 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Google Cloud Deep Dive and Observability AI with David Wynn of Edge Delta</itunes:title>
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      <title>195: Supply Chain Data Stacks and Snowflake Optimization Pro Tips with Jeff Skoldberg of Green Mountain Data Solutions</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Jeff's Background and Transition to Independent Consulting (0:03)</li><li>Working at Keurig and Business Model Changes (2:16)</li><li>Tech Stack Evolution and SAP HANA Implementation (7:33)</li><li>Adoption of Tableau and Data Pipelines (11:21)</li><li>Supply Chain Analytics and Timeless Data Modeling (15:49)</li><li>Impact of Cloud Computing on Cost Optimization (18:35)</li><li>Challenges of Managing Variable Costs (20:59)</li><li>Democratization of Data and Cost Impact (23:52)</li><li>Quality of Fivetran Connectors (27:29)</li><li>Data Ingestion and Cost Awareness (29:44)</li><li>Virtual Warehouse Cost Management (31:22)</li><li>Auto-Scaling and Performance Optimization (33:09)</li><li>Cost-Saving Frameworks for Business Problems (38:19)</li><li>Dashboard Frameworks (40:53)</li><li>Increasing Dashboards (43:29)</li><li>Final thoughts and takeaways (46:28)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 26 Jun 2024 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Jeff's Background and Transition to Independent Consulting (0:03)</li><li>Working at Keurig and Business Model Changes (2:16)</li><li>Tech Stack Evolution and SAP HANA Implementation (7:33)</li><li>Adoption of Tableau and Data Pipelines (11:21)</li><li>Supply Chain Analytics and Timeless Data Modeling (15:49)</li><li>Impact of Cloud Computing on Cost Optimization (18:35)</li><li>Challenges of Managing Variable Costs (20:59)</li><li>Democratization of Data and Cost Impact (23:52)</li><li>Quality of Fivetran Connectors (27:29)</li><li>Data Ingestion and Cost Awareness (29:44)</li><li>Virtual Warehouse Cost Management (31:22)</li><li>Auto-Scaling and Performance Optimization (33:09)</li><li>Cost-Saving Frameworks for Business Problems (38:19)</li><li>Dashboard Frameworks (40:53)</li><li>Increasing Dashboards (43:29)</li><li>Final thoughts and takeaways (46:28)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>195: Supply Chain Data Stacks and Snowflake Optimization Pro Tips with Jeff Skoldberg of Green Mountain Data Solutions</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John chat with Jeff Skoldberg, Principal Consultant, Data Architecture and Analytics at Green Mountain Data Solutions. Jeff has been a data consultant specializing in supply chain analytics and cost optimization and shares his journey from starting as a business analyst at Keurig in 2008 to becoming an independent consultant. They discuss the evolution of the data landscape, including shifts from Microsoft SQL Server to SAP HANA and later to Snowflake. Jeff emphasizes the importance of cost optimization, detailing strategies for managing data costs effectively. The group also discusses two frameworks for using data to control business processes and create actionable dashboards, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John chat with Jeff Skoldberg, Principal Consultant, Data Architecture and Analytics at Green Mountain Data Solutions. Jeff has been a data consultant specializing in supply chain analytics and cost optimization and shares his journey from starting as a business analyst at Keurig in 2008 to becoming an independent consultant. They discuss the evolution of the data landscape, including shifts from Microsoft SQL Server to SAP HANA and later to Snowflake. Jeff emphasizes the importance of cost optimization, detailing strategies for managing data costs effectively. The group also discusses two frameworks for using data to control business processes and create actionable dashboards, and more. </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 24 Jun 2024 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Breaking down Keurig’s Supply Chain Data Stack with Jeff Skoldberg of Green Mountain Data Solutions</itunes:title>
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      <title>194: Building Retail Churn Prediction on DuckDB with Clint Dunn of Wilde</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Clint’s Background and Journey in Data (0:51)</li><li>Starting a Data Career (2:01)</li><li>Transition to Startup SaaS World (4:27)</li><li>Clint’s Connection to a Federal Reserve Database (5:31)</li><li>Challenges in Predictive Modeling (10:27)</li><li>Data Input Challenges (15:50)</li><li>Marketers' Workflow and Data Integration (18:29)</li><li>Soft ROI vs. Hard ROI in Data Analysis (00:21:31)</li><li>Balancing Internal Marketing and Data Team's Value (22:35)</li><li>Simplifying Data Inputs for Predictive Models (25:09)</li><li>Data Analysis Workflow and Tech Stack (29:06)</li><li>Open Data Formats and Impact on Data Platforms (34:40)</li><li>The S3 and Ecosystem Model (37:08)</li><li>In-browser SQL Queries with DuckDB (39:24)</li><li>Data Security Concerns and Solutions (41:47)</li><li>Clean Rooms and Data Sharing (43:32)</li><li>Final Thoughts and Takeaways (47:35)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 19 Jun 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Clint’s Background and Journey in Data (0:51)</li><li>Starting a Data Career (2:01)</li><li>Transition to Startup SaaS World (4:27)</li><li>Clint’s Connection to a Federal Reserve Database (5:31)</li><li>Challenges in Predictive Modeling (10:27)</li><li>Data Input Challenges (15:50)</li><li>Marketers' Workflow and Data Integration (18:29)</li><li>Soft ROI vs. Hard ROI in Data Analysis (00:21:31)</li><li>Balancing Internal Marketing and Data Team's Value (22:35)</li><li>Simplifying Data Inputs for Predictive Models (25:09)</li><li>Data Analysis Workflow and Tech Stack (29:06)</li><li>Open Data Formats and Impact on Data Platforms (34:40)</li><li>The S3 and Ecosystem Model (37:08)</li><li>In-browser SQL Queries with DuckDB (39:24)</li><li>Data Security Concerns and Solutions (41:47)</li><li>Clean Rooms and Data Sharing (43:32)</li><li>Final Thoughts and Takeaways (47:35)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>194: Building Retail Churn Prediction on DuckDB with Clint Dunn of Wilde</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John chat with Clint Dunn, Co-Founder at Wilde. During this conversation, Clint shares his journey from an economics major to a data professional, detailing his experiences at Afterpay and in building data teams for e-commerce companies. The discussion covers Wilde&apos;s focus on predicting customer lifetime value (LTV) and churn for retail brands, emphasizing the importance of accurate data for business decisions. The group also explores the challenges of integrating data predictions into marketing workflows, technical aspects of managing and analyzing large datasets, and more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John chat with Clint Dunn, Co-Founder at Wilde. During this conversation, Clint shares his journey from an economics major to a data professional, detailing his experiences at Afterpay and in building data teams for e-commerce companies. The discussion covers Wilde&apos;s focus on predicting customer lifetime value (LTV) and churn for retail brands, emphasizing the importance of accurate data for business decisions. The group also explores the challenges of integrating data predictions into marketing workflows, technical aspects of managing and analyzing large datasets, and more.</itunes:subtitle>
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      <pubDate>Mon, 17 Jun 2024 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Introducing a special edition of the show with the cynical data guy (0:19)</li><li>Metadata and LLMs (2:32)</li><li>Data-driven culture (8:44)</li><li>No-code orchestration tools (17:09)</li><li>No Code vs. Low Code (19:58)</li><li>Enterprise Challenges with No Code Solutions (20:08)</li><li>No Code Tools for Small Companies (21:40)</li><li>Inappropriate Use of Tools (23:06)</li><li>Final thoughts and takeaways (24:05)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 12 Jun 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Introducing a special edition of the show with the cynical data guy (0:19)</li><li>Metadata and LLMs (2:32)</li><li>Data-driven culture (8:44)</li><li>No-code orchestration tools (17:09)</li><li>No Code vs. Low Code (19:58)</li><li>Enterprise Challenges with No Code Solutions (20:08)</li><li>No Code Tools for Small Companies (21:40)</li><li>Inappropriate Use of Tools (23:06)</li><li>Final thoughts and takeaways (24:05)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>193: Introducing the Cynical Data Guy: Is Data-Driven a Myth?</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John chat with Matthew Kelliher-Gibson, the deemed “cynical data guy,” in a candid discussion about the realities of data work in large organizations. They explore the skepticism surrounding metadata&apos;s value, the myth of a data-driven culture, and the challenges of shifting executive mindsets to trust data over intuition. Additionally, the group delves into the practicality of no-code and low-code solutions for data operations, emphasizing the importance of discipline and understanding the limitations of these tools. The conversation also covers the misuse of tools like Jupyter notebooks in production and the need for clear guidelines to prevent inefficiencies and manage tool usage at an enterprise scale. Don’t miss the battle of the cynical and the agreeable on this week’s episode! </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John chat with Matthew Kelliher-Gibson, the deemed “cynical data guy,” in a candid discussion about the realities of data work in large organizations. They explore the skepticism surrounding metadata&apos;s value, the myth of a data-driven culture, and the challenges of shifting executive mindsets to trust data over intuition. Additionally, the group delves into the practicality of no-code and low-code solutions for data operations, emphasizing the importance of discipline and understanding the limitations of these tools. The conversation also covers the misuse of tools like Jupyter notebooks in production and the need for clear guidelines to prevent inefficiencies and manage tool usage at an enterprise scale. Don’t miss the battle of the cynical and the agreeable on this week’s episode! </itunes:subtitle>
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      <pubDate>Mon, 10 Jun 2024 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: The Cynical Data Guy’s Origin Story</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The history of computer science and AI inflection point (1:23)</li><li>Binny's early programming experiences and the constraints of technology (2:14)</li><li>Getting interested in computer programming (5:02)</li><li>The experiment that impacted the starting of Kognitos (8:23)</li><li>Challenges in traditional computer science (16:04)</li><li>Reimagining programming and debugging through natural language (19:08)</li><li>The operating system for applications (20:19)</li><li>Changing the paradigm of programming (21:25)</li><li>Complexity in software compilation (22:05)</li><li>Challenges in automating business processes (24:50)</li><li>Solving business process problems with Kognitos (27:39)</li><li>AI as a tool in business solutions (34:05)</li><li>The future of AI and specialized intelligence (37:08)</li><li>Using LLMs for Context Generation (40:43)</li><li>Biases and Data Set Source Transparency (41:48)</li><li>Next Innovation in Data (44:34)</li><li>Final Thoughts and Takeaways (47:06)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 5 Jun 2024 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The history of computer science and AI inflection point (1:23)</li><li>Binny's early programming experiences and the constraints of technology (2:14)</li><li>Getting interested in computer programming (5:02)</li><li>The experiment that impacted the starting of Kognitos (8:23)</li><li>Challenges in traditional computer science (16:04)</li><li>Reimagining programming and debugging through natural language (19:08)</li><li>The operating system for applications (20:19)</li><li>Changing the paradigm of programming (21:25)</li><li>Complexity in software compilation (22:05)</li><li>Challenges in automating business processes (24:50)</li><li>Solving business process problems with Kognitos (27:39)</li><li>AI as a tool in business solutions (34:05)</li><li>The future of AI and specialized intelligence (37:08)</li><li>Using LLMs for Context Generation (40:43)</li><li>Biases and Data Set Source Transparency (41:48)</li><li>Next Innovation in Data (44:34)</li><li>Final Thoughts and Takeaways (47:06)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>192: Business Logic As Code: A New LLM-Powered Operating System for Business Automation with Binny Gill of Kognitos</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and John chat with Binny Gill, Founder and CEO of Kognitos. During the episode, Binny shares his journey from programming on a Casio calculator to founding Kognitos. He reflects on the evolution of learning to code, from his own self-taught beginnings to his son&apos;s coding project during the pandemic. Binny discusses the inception of Kognitos, aiming to democratize programming by making it more accessible and intuitive. The conversation touches on the need for a new operating system that simplifies business logic, the role of AI as a problem-solving tool, the importance of human control over AI systems, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John chat with Binny Gill, Founder and CEO of Kognitos. During the episode, Binny shares his journey from programming on a Casio calculator to founding Kognitos. He reflects on the evolution of learning to code, from his own self-taught beginnings to his son&apos;s coding project during the pandemic. Binny discusses the inception of Kognitos, aiming to democratize programming by making it more accessible and intuitive. The conversation touches on the need for a new operating system that simplifies business logic, the role of AI as a problem-solving tool, the importance of human control over AI systems, and more. </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 3 Jun 2024 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: From Programming Tic Tac Toe to Building an Operating System for Natural Language Programs With Binny Gill of Kognitos</itunes:title>
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      <title>191: From Amazon to Consulting: Time Series Forecasting and How to Communicate Data Analytics Insights with David McCandless of McCandless Consulting</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>David's Background and Journey in Data (0:30)</li><li>Transition to Time Series Forecasting (2:03)</li><li>Working on Time Series Forecasting at Amazon (2:55)</li><li>Challenges and Experience in Time Series Forecasting (4:32)</li><li>Transitioning to a New Role at Amazon (5:52)</li><li>Tools and Methods for Time Series Forecasting (8:17)</li><li>Forecasting Impact and Accuracy (15:30)</li><li>Explaining Variance and Lessons Learned (18:58)</li><li>Understanding Downstream Consumers and Empathy for Business Leaders (20:36)</li><li>Amazon's Culture and Decision-Making Process (24:27)</li><li>Assimilating into Amazon's Culture (26:04)</li><li>Interpreting Data for Business Stakeholders (28:34)</li><li>Consulting for Small Businesses (30:28)</li><li>Challenges in Automation and Maintenance (32:18)</li><li>Analyzing Financial Metrics for Small Businesses (34:51)</li><li>Tooling and Data Solutions for Small Businesses (39:52)</li><li>Empowering Small Businesses with Data (46:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 29 May 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>David's Background and Journey in Data (0:30)</li><li>Transition to Time Series Forecasting (2:03)</li><li>Working on Time Series Forecasting at Amazon (2:55)</li><li>Challenges and Experience in Time Series Forecasting (4:32)</li><li>Transitioning to a New Role at Amazon (5:52)</li><li>Tools and Methods for Time Series Forecasting (8:17)</li><li>Forecasting Impact and Accuracy (15:30)</li><li>Explaining Variance and Lessons Learned (18:58)</li><li>Understanding Downstream Consumers and Empathy for Business Leaders (20:36)</li><li>Amazon's Culture and Decision-Making Process (24:27)</li><li>Assimilating into Amazon's Culture (26:04)</li><li>Interpreting Data for Business Stakeholders (28:34)</li><li>Consulting for Small Businesses (30:28)</li><li>Challenges in Automation and Maintenance (32:18)</li><li>Analyzing Financial Metrics for Small Businesses (34:51)</li><li>Tooling and Data Solutions for Small Businesses (39:52)</li><li>Empowering Small Businesses with Data (46:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>191: From Amazon to Consulting: Time Series Forecasting and How to Communicate Data Analytics Insights with David McCandless of McCandless Consulting</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, Eric and John chat with David McCandless, Founder of McCandless Consulting and former data analyst at Amazon. During the episode, David shares his journey from chemical engineering to analytics, leading to his role at Amazon. He also discusses the complexities of time series forecasting for workforce management, emphasizing the importance of explainability and accuracy, especially during the pandemic. The conversation also touches on the practical applications of forecasting in business, the need for clear communication with leaders, and Amazon&apos;s culture of detailed documentation for decision-making. David&apos;s insights offer a deep dive into the real-world challenges of data analytics in corporate settings, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John chat with David McCandless, Founder of McCandless Consulting and former data analyst at Amazon. During the episode, David shares his journey from chemical engineering to analytics, leading to his role at Amazon. He also discusses the complexities of time series forecasting for workforce management, emphasizing the importance of explainability and accuracy, especially during the pandemic. The conversation also touches on the practical applications of forecasting in business, the need for clear communication with leaders, and Amazon&apos;s culture of detailed documentation for decision-making. David&apos;s insights offer a deep dive into the real-world challenges of data analytics in corporate settings, and more. </itunes:subtitle>
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      <pubDate>Tue, 28 May 2024 08:30:00 +0000</pubDate>
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      <title>190: Aligning Data Teams and Data Tools With Business Needs Featuring Ben Rogojan, the Seattle Data Guy</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ben’s background and journey in data (0:18)</li><li>Relating data to business outcomes (2:33)</li><li>Facebook's approach to data-driven business outcomes (4:43)</li><li>Subjectivity and data-driven business outcomes (8:43)</li><li>Infrastructure and data collection at Facebook (12:04)</li><li>The importance of first-party data and the death of third-party cookies (16:27)</li><li>Facebook's Data and Attribution Challenges (20:08)</li><li>Facebook's Infrastructure and Tooling (23:41)</li><li>Differences in Data Approaches (28:26)</li><li>Challenges of Data Project Alignment with Business Outcomes (32:58)</li><li>Integration of Data into Tools and Partnerships (35:12)</li><li>Building Alliances with Embedded Data Analysts (38:08)</li><li>Budgeting for Data Teams (40:02)</li><li>Healthy Team Dynamics and Budgeting (44:18)</li><li>Data Team Reporting Structure (46:23)</li><li>Connecting with Ben and More Content (50:55)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 22 May 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ben’s background and journey in data (0:18)</li><li>Relating data to business outcomes (2:33)</li><li>Facebook's approach to data-driven business outcomes (4:43)</li><li>Subjectivity and data-driven business outcomes (8:43)</li><li>Infrastructure and data collection at Facebook (12:04)</li><li>The importance of first-party data and the death of third-party cookies (16:27)</li><li>Facebook's Data and Attribution Challenges (20:08)</li><li>Facebook's Infrastructure and Tooling (23:41)</li><li>Differences in Data Approaches (28:26)</li><li>Challenges of Data Project Alignment with Business Outcomes (32:58)</li><li>Integration of Data into Tools and Partnerships (35:12)</li><li>Building Alliances with Embedded Data Analysts (38:08)</li><li>Budgeting for Data Teams (40:02)</li><li>Healthy Team Dynamics and Budgeting (44:18)</li><li>Data Team Reporting Structure (46:23)</li><li>Connecting with Ben and More Content (50:55)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>190: Aligning Data Teams and Data Tools With Business Needs Featuring Ben Rogojan, the Seattle Data Guy</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Ben Rogojan, Owner and Data Consultant at Seattle Data Guy. During the episode, Ben discusses the complexities of budgeting for data teams within organizations. The group explores various funding models, including chargebacks and independent budgets, and considers the implications of each on the perception and effectiveness of data teams. The conversation highlights the potential for unhealthy budgeting practices, such as investing in new systems without clear business benefits, which can lead to financial difficulties for companies. The role of the CFO and the importance of aligning data team budgets with organizational goals are also examined, emphasizing the need for strategic investment in data capabilities to support business outcomes. Don’t miss this data discussion! </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Ben Rogojan, Owner and Data Consultant at Seattle Data Guy. During the episode, Ben discusses the complexities of budgeting for data teams within organizations. The group explores various funding models, including chargebacks and independent budgets, and considers the implications of each on the perception and effectiveness of data teams. The conversation highlights the potential for unhealthy budgeting practices, such as investing in new systems without clear business benefits, which can lead to financial difficulties for companies. The role of the CFO and the importance of aligning data team budgets with organizational goals are also examined, emphasizing the need for strategic investment in data capabilities to support business outcomes. Don’t miss this data discussion! </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 20 May 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: Data Success From Mid-market to Enterprise with Ben Rogojan</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Ben Rogojan, the Seattle Data Guy.</itunes:summary>
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      <title>189: Customer Data Modeling, The Data Warehouse, Reverse ETL, and Data Activation with Ryan McCrary of RudderStack</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ryan's Background and Roles in Data (0:05)</li><li>Data Activation and Dashboard Staleness (1:27)</li><li>Profiles and Data Activation (2:54)</li><li>Customer-Facing Experience and Product Management (3:40)</li><li>Profiles Product Overview (5:10)</li><li>Use Cases for Profiles (6:44)</li><li>Challenges with Data Projects (9:19)</li><li>Entity Management and Account Views (15:33)</li><li>Handling Entities and Duplicates (17:55)</li><li>Challenges in Entity Management (22:18)</li><li>Product Management and Data Solutions (26:08)</li><li>Reverse ETL and Data Movement (31:58)</li><li>Accessibility of Data Warehouses (36:14)</li><li>Profiles and Entity Features (37:47)</li><li>Cohorts Creation and Use Cases (41:17)</li><li>Customer Data and Targeting (43:09)</li><li>Activations and Reverse ETL (45:57)</li><li>ML and AI Use Cases (55:53)</li><li>Data Activation and ML Predictions (57:02)</li><li>Spicy Take and Future Product Features (59:47)</li><li>ETL Evolution and Cloud Tools (1:00:50)</li><li>Unbundling and Future Trends (1:02:10)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Thu, 16 May 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ryan's Background and Roles in Data (0:05)</li><li>Data Activation and Dashboard Staleness (1:27)</li><li>Profiles and Data Activation (2:54)</li><li>Customer-Facing Experience and Product Management (3:40)</li><li>Profiles Product Overview (5:10)</li><li>Use Cases for Profiles (6:44)</li><li>Challenges with Data Projects (9:19)</li><li>Entity Management and Account Views (15:33)</li><li>Handling Entities and Duplicates (17:55)</li><li>Challenges in Entity Management (22:18)</li><li>Product Management and Data Solutions (26:08)</li><li>Reverse ETL and Data Movement (31:58)</li><li>Accessibility of Data Warehouses (36:14)</li><li>Profiles and Entity Features (37:47)</li><li>Cohorts Creation and Use Cases (41:17)</li><li>Customer Data and Targeting (43:09)</li><li>Activations and Reverse ETL (45:57)</li><li>ML and AI Use Cases (55:53)</li><li>Data Activation and ML Predictions (57:02)</li><li>Spicy Take and Future Product Features (59:47)</li><li>ETL Evolution and Cloud Tools (1:00:50)</li><li>Unbundling and Future Trends (1:02:10)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>189: Customer Data Modeling, The Data Warehouse, Reverse ETL, and Data Activation with Ryan McCrary of RudderStack</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, Eric and John chat with Ryan McCrary, Product Manager at Rudderstack. During the episode, the group explores the complexities of customer data management, focusing on data activation, identity resolution, and entity management. They also discuss Rudderstack&apos;s profiles product, which aims to bring business users closer to data, making it actionable within their existing tools. The episode covers the challenges of stitching user profiles deterministically, handling anomalies, and the significance of reverse ETL in the data industry. They also touch on the importance of data ownership, visibility between teams, and the role of machine learning in building a data foundation. Overall, the conversation sheds light on the evolving landscape of data management and the need for structured, collaborative tools in the space.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John chat with Ryan McCrary, Product Manager at Rudderstack. During the episode, the group explores the complexities of customer data management, focusing on data activation, identity resolution, and entity management. They also discuss Rudderstack&apos;s profiles product, which aims to bring business users closer to data, making it actionable within their existing tools. The episode covers the challenges of stitching user profiles deterministically, handling anomalies, and the significance of reverse ETL in the data industry. They also touch on the importance of data ownership, visibility between teams, and the role of machine learning in building a data foundation. Overall, the conversation sheds light on the evolving landscape of data management and the need for structured, collaborative tools in the space.</itunes:subtitle>
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      <title>The PRQL: How to Get Business Teams Closer to Customer Data (The Right Way)</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 13 May 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: How to Get Business Teams Closer to Customer Data (The Right Way)</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and John preview their upcoming conversation with Ryan McCrary of Rudderstack. </itunes:summary>
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      <title>188: How To Invest in Data Infrastructure and Data Projects That Create Business Value with Matthew Kelliher-Gibson of Rudderstack</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Matt KG’s Background in Data (0:35)</li><li>Challenges in purchasing data tools (1:28)</li><li>Early experiences in data analysis (9:51)</li><li>Matt’s Transition to a subprime auto loan company (13:19</li><li>Transition to RudderStack and software purchase decisions (17:36)</li><li>Tech Problems: People and Process (22:02)</li><li>Challenges in Purchasing Data Tools (22:55)</li><li>Budget Constraints and Purchasing Decisions (24:46)</li><li>Challenges with Platform Documentation (26:55)</li><li>Metrics and Cost Efficiency (30:11)</li><li>Risk and Conviction in Purchasing Decisions (32:53)</li><li>Justification and Value Creation (38:17)</li><li>Connecting Data to Business Value (42:03)</li><li>Navigating Business Relationships (46:25)</li><li>Empowering Analysts (49:54)</li><li>Relational Capital and Team Competency (51:29)</li><li>Final thoughts and takeaways (54:16)</li></ul><p><br /><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 8 May 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Matt KG’s Background in Data (0:35)</li><li>Challenges in purchasing data tools (1:28)</li><li>Early experiences in data analysis (9:51)</li><li>Matt’s Transition to a subprime auto loan company (13:19</li><li>Transition to RudderStack and software purchase decisions (17:36)</li><li>Tech Problems: People and Process (22:02)</li><li>Challenges in Purchasing Data Tools (22:55)</li><li>Budget Constraints and Purchasing Decisions (24:46)</li><li>Challenges with Platform Documentation (26:55)</li><li>Metrics and Cost Efficiency (30:11)</li><li>Risk and Conviction in Purchasing Decisions (32:53)</li><li>Justification and Value Creation (38:17)</li><li>Connecting Data to Business Value (42:03)</li><li>Navigating Business Relationships (46:25)</li><li>Empowering Analysts (49:54)</li><li>Relational Capital and Team Competency (51:29)</li><li>Final thoughts and takeaways (54:16)</li></ul><p><br /><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>188: How To Invest in Data Infrastructure and Data Projects That Create Business Value with Matthew Kelliher-Gibson of Rudderstack</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, Eric and John chat with Matthew Kelliher-Gibson, Technical Product Marketing Manager at Rudderstack. During the episode, Matthew shares his extensive background in data and data science. With over a decade of experience across various industries, Matthew discusses his transition from analyst to managing data science teams and his journey through political campaigns to an MBA focused on business analytics. The group explores the challenges of purchasing data tools, emphasizing the need to drive business value by cutting costs and increasing revenue. They also discuss strategies for working with business users to prioritize company needs and build trust, personal productivity tools, managing tasks and knowledge, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and John chat with Matthew Kelliher-Gibson, Technical Product Marketing Manager at Rudderstack. During the episode, Matthew shares his extensive background in data and data science. With over a decade of experience across various industries, Matthew discusses his transition from analyst to managing data science teams and his journey through political campaigns to an MBA focused on business analytics. The group explores the challenges of purchasing data tools, emphasizing the need to drive business value by cutting costs and increasing revenue. They also discuss strategies for working with business users to prioritize company needs and build trust, personal productivity tools, managing tasks and knowledge, and more. </itunes:subtitle>
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      <title>The PRQL: Navigating the Procurement Process for Data Infrastructure Tooling With Matthew Kelliher-Gibson of Rudderstack</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 6 May 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: Navigating the Procurement Process for Data Infrastructure Tooling With Matthew Kelliher-Gibson of Rudderstack</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Kostas Passes the Baton as Co-Host of the Podcast (0:24)</li><li>Reflecting on the Podcast (2:56)</li><li>New Co-Host John Wessel and His Background in Data (4:34)</li><li>Kostas Journey in Data (10:55)</li><li>Rudderstack's Explosive Growth (21:28)</li><li>The Podcast's Inception and Marketing Activities (24:19)</li><li>Evolution of the podcast (27:22)</li><li>Memorable guests and experiences (28:29)</li><li>Connecting with industry leaders and key innovators in the space (33:05)</li><li>Kostas' new venture (36:26)</li><li>Advice for the new co-host (42:17)</li><li>Final Thoughts and Takeaways (44:47)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 1 May 2024 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Kostas Passes the Baton as Co-Host of the Podcast (0:24)</li><li>Reflecting on the Podcast (2:56)</li><li>New Co-Host John Wessel and His Background in Data (4:34)</li><li>Kostas Journey in Data (10:55)</li><li>Rudderstack's Explosive Growth (21:28)</li><li>The Podcast's Inception and Marketing Activities (24:19)</li><li>Evolution of the podcast (27:22)</li><li>Memorable guests and experiences (28:29)</li><li>Connecting with industry leaders and key innovators in the space (33:05)</li><li>Kostas' new venture (36:26)</li><li>Advice for the new co-host (42:17)</li><li>Final Thoughts and Takeaways (44:47)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>187: Startup Lessons and Torch Passing with Kostas Pardalis</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas welcome John Wessel who will be taking over as the new co-host of the podcast as Kostas passes the baton. Kostas reminisces about his journey in starting the podcast and details the challenges of getting the show off the ground. He also shares his journey in the data world, the idea for beginning the podcast, and how his curiosity-driven approach to conversations with industry leaders has grown the show into the success it is today. Kostas also talks about stepping back to focus on a new data infrastructure venture, offering advice to the new co-host, John about what he can expect on the show. Don’t miss this episode! </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas welcome John Wessel who will be taking over as the new co-host of the podcast as Kostas passes the baton. Kostas reminisces about his journey in starting the podcast and details the challenges of getting the show off the ground. He also shares his journey in the data world, the idea for beginning the podcast, and how his curiosity-driven approach to conversations with industry leaders has grown the show into the success it is today. Kostas also talks about stepping back to focus on a new data infrastructure venture, offering advice to the new co-host, John about what he can expect on the show. Don’t miss this episode! </itunes:subtitle>
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      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 29 Apr 2024 08:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Why Is Kostas a Guest on His Own Podcast?</itunes:title>
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      <title>186: Data Fusion and The Future Of Specialized Databases with Andrew Lamb of InfluxData</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The Evolution of Data Systems (0:47)</li><li>The Role of Open Source Software (2:39)</li><li>Challenges of Time Series Data (6:38)</li><li>Architecting InfluxDB (9:34)</li><li>High Cardinality Concepts (11:36)</li><li>Trade-Offs in Time Series Databases (15:35)</li><li>High Cardinality Data (18:24)</li><li>Evolution to InfluxDB 3.0 (21:06)</li><li>Modern Data Stack (23:04)</li><li>Evolution of Database Systems (29:48)</li><li>InfluxDB Re-Architecture (33:14)</li><li>Building an Analytic System with Data Fusion (37:33)</li><li>Challenges of Mapping Time Series Data into Relational Model (44:55)</li><li>Adoption and Future of Data Fusion (46:51)</li><li>Externalized Joins and Technical Challenges (51:11)</li><li>Exciting Opportunities in Data Tooling (55:20)</li><li>Emergence of New Architectures (56:35)</li><li>Final thoughts and takeaways (57:47)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 24 Apr 2024 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The Evolution of Data Systems (0:47)</li><li>The Role of Open Source Software (2:39)</li><li>Challenges of Time Series Data (6:38)</li><li>Architecting InfluxDB (9:34)</li><li>High Cardinality Concepts (11:36)</li><li>Trade-Offs in Time Series Databases (15:35)</li><li>High Cardinality Data (18:24)</li><li>Evolution to InfluxDB 3.0 (21:06)</li><li>Modern Data Stack (23:04)</li><li>Evolution of Database Systems (29:48)</li><li>InfluxDB Re-Architecture (33:14)</li><li>Building an Analytic System with Data Fusion (37:33)</li><li>Challenges of Mapping Time Series Data into Relational Model (44:55)</li><li>Adoption and Future of Data Fusion (46:51)</li><li>Externalized Joins and Technical Challenges (51:11)</li><li>Exciting Opportunities in Data Tooling (55:20)</li><li>Emergence of New Architectures (56:35)</li><li>Final thoughts and takeaways (57:47)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>186: Data Fusion and The Future Of Specialized Databases with Andrew Lamb of InfluxData</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Andrew Lamb, a Staff Engineer at InfluxData. During the episode, Andrew takes us on a deep dive into the intricacies of time series databases and the evolution of data systems. He discusses the specialized challenges of managing high cardinality data and the trade-offs in query performance. The conversation also touches on the development of Data Fusion, its adaptation for time series data, and the potential for innovation in the query language space. The episode concludes with a look at the future of data tooling and the exciting possibilities that arise from removing traditional constraints in database architecture with each person expressing enthusiasm for the role of projects like Data Fusion in shaping the landscape of data systems. Don’t miss this episode!</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Andrew Lamb, a Staff Engineer at InfluxData. During the episode, Andrew takes us on a deep dive into the intricacies of time series databases and the evolution of data systems. He discusses the specialized challenges of managing high cardinality data and the trade-offs in query performance. The conversation also touches on the development of Data Fusion, its adaptation for time series data, and the potential for innovation in the query language space. The episode concludes with a look at the future of data tooling and the exciting possibilities that arise from removing traditional constraints in database architecture with each person expressing enthusiasm for the role of projects like Data Fusion in shaping the landscape of data systems. Don’t miss this episode!</itunes:subtitle>
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      <pubDate>Mon, 22 Apr 2024 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pete’s background and the origin story of Data Council (1:04)</li><li>Reflecting on 10 years of Data Council (2:07)</li><li>Impact of the pandemic on conferences (5:25)</li><li>Rebuilding after the pandemic (7:42)</li><li>Evolution of Data Council (10:33)</li><li>Balancing content and sponsorship (16:17)</li><li>Selecting speakers and content at Data Council (19:39)</li><li>Highlights from the conference this year (21:58)</li><li>Realization of AI Future (22:45)</li><li>Embracing AI at Data Council (23:31)</li><li>Announcement of Prime Ventures (25:43)</li><li>Improving Data Council (27:45)</li><li>Trends and Technologies (29:46)</li><li>Cautions for Startups (31:47)</li><li>Connecting with Data Council and Final Takeaways (33:09)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Thu, 18 Apr 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pete’s background and the origin story of Data Council (1:04)</li><li>Reflecting on 10 years of Data Council (2:07)</li><li>Impact of the pandemic on conferences (5:25)</li><li>Rebuilding after the pandemic (7:42)</li><li>Evolution of Data Council (10:33)</li><li>Balancing content and sponsorship (16:17)</li><li>Selecting speakers and content at Data Council (19:39)</li><li>Highlights from the conference this year (21:58)</li><li>Realization of AI Future (22:45)</li><li>Embracing AI at Data Council (23:31)</li><li>Announcement of Prime Ventures (25:43)</li><li>Improving Data Council (27:45)</li><li>Trends and Technologies (29:46)</li><li>Cautions for Startups (31:47)</li><li>Connecting with Data Council and Final Takeaways (33:09)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Data Council Week: A Decade of Supporting the Data Community with Pete Soderling</itunes:title>
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      <itunes:summary>It’s a special edition of The Data Stack Show as we come to you from the Data Council in Austin, Texas. Brooks and Matthew co-host the show to bring you some bonus episodes from some of the leading voices in the data space. This episode features Data Council founder Pete Soderling. In this conversation, Pete reflects on the conference&apos;s evolution, its pause during the pandemic, and its successful return with community support. The episode highlights the technical depth of the conference, its vendor-neutral stance, and the diversity of its attendees, ranging from engineers to industry leaders. Pete shares his pride in the community&apos;s growth and the conference&apos;s role in nurturing data professionals and founders, the careful curation of speakers, the conference&apos;s expansion through the years across the data stack, and more. </itunes:summary>
      <itunes:subtitle>It’s a special edition of The Data Stack Show as we come to you from the Data Council in Austin, Texas. Brooks and Matthew co-host the show to bring you some bonus episodes from some of the leading voices in the data space. This episode features Data Council founder Pete Soderling. In this conversation, Pete reflects on the conference&apos;s evolution, its pause during the pandemic, and its successful return with community support. The episode highlights the technical depth of the conference, its vendor-neutral stance, and the diversity of its attendees, ranging from engineers to industry leaders. Pete shares his pride in the community&apos;s growth and the conference&apos;s role in nurturing data professionals and founders, the careful curation of speakers, the conference&apos;s expansion through the years across the data stack, and more. </itunes:subtitle>
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      <title>Data Council Week: AI Isn’t Just Hype - How To Successfully Apply LLMs Today with Tristan Zajonc of Continual</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Tristan's Background and Journey into Data (1:14)</li><li>Evolution of Machine Learning and AI (3:13)</li><li>Impact of Generative AI (6:33)</li><li>MLOps and Challenges in Early Data Science (8:48)</li><li>Success and Applications of AI Today (11:34)</li><li>Continual AI Copilot Platform (18:04)</li><li>Challenges in building remarkable AI assistants (19:58)</li><li>Reliability and accuracy in AI responses (25:31)</li><li>Regulation and adoption of AI assistants (31:30)</li><li>Future of AI assistants and Continual AI (33:12)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 17 Apr 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Tristan's Background and Journey into Data (1:14)</li><li>Evolution of Machine Learning and AI (3:13)</li><li>Impact of Generative AI (6:33)</li><li>MLOps and Challenges in Early Data Science (8:48)</li><li>Success and Applications of AI Today (11:34)</li><li>Continual AI Copilot Platform (18:04)</li><li>Challenges in building remarkable AI assistants (19:58)</li><li>Reliability and accuracy in AI responses (25:31)</li><li>Regulation and adoption of AI assistants (31:30)</li><li>Future of AI assistants and Continual AI (33:12)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Data Council Week: AI Isn’t Just Hype - How To Successfully Apply LLMs Today with Tristan Zajonc of Continual</itunes:title>
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      <itunes:summary> It’s a special edition of The Data Stack Show as we come to you from the Data Council in Austin, Texas. Brooks and Matthew co-host the show to bring you some bonus episodes from some of the leading voices in the data space. This episode, Tristan Zajonc returns to the podcast to discuss the evolution of AI and its integration into applications. Tristan is the Co-Founder and CEO of Continual. In this discussion, the group covers the shift towards generative AI in data science, the progression of machine learning in production, Continual AI copilot platform and the importance of reliability and low latency in AI responses. The conversation also touches on the challenges and future potential of AI copilots in complex industries and large enterprises, considering regulatory and technological breakthroughs needed for widespread adoption, and more. </itunes:summary>
      <itunes:subtitle> It’s a special edition of The Data Stack Show as we come to you from the Data Council in Austin, Texas. Brooks and Matthew co-host the show to bring you some bonus episodes from some of the leading voices in the data space. This episode, Tristan Zajonc returns to the podcast to discuss the evolution of AI and its integration into applications. Tristan is the Co-Founder and CEO of Continual. In this discussion, the group covers the shift towards generative AI in data science, the progression of machine learning in production, Continual AI copilot platform and the importance of reliability and low latency in AI responses. The conversation also touches on the challenges and future potential of AI copilots in complex industries and large enterprises, considering regulatory and technological breakthroughs needed for widespread adoption, and more. </itunes:subtitle>
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      <title>Data Council Week: How To Do Self-Service Data Analytics and Business Intelligence Right with Ryan Dolley of GoodData</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ryan’s background in data (0:58)</li><li>Transition from Performing Arts to Data (2:23)</li><li>Understanding End Users in Data Projects (6:08)</li><li>Learning from Failures in Data Projects (8:07)</li><li>The self-service era (19:50)</li><li>Struggles of self-service (21:23)</li><li>The disillusion with dashboards (26:23)</li><li>GoodData's approach (30:06)</li><li>Merging wisdom with modern approach (31:50)</li><li>User experience with GoodData (34:05)</li><li>Defining metrics and AI (36:35)</li><li>Connecting with Ryan and GoodData (39:26)</li><li>Final thoughts and takeaways (41:06)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 15 Apr 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ryan’s background in data (0:58)</li><li>Transition from Performing Arts to Data (2:23)</li><li>Understanding End Users in Data Projects (6:08)</li><li>Learning from Failures in Data Projects (8:07)</li><li>The self-service era (19:50)</li><li>Struggles of self-service (21:23)</li><li>The disillusion with dashboards (26:23)</li><li>GoodData's approach (30:06)</li><li>Merging wisdom with modern approach (31:50)</li><li>User experience with GoodData (34:05)</li><li>Defining metrics and AI (36:35)</li><li>Connecting with Ryan and GoodData (39:26)</li><li>Final thoughts and takeaways (41:06)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Data Council Week: How To Do Self-Service Data Analytics and Business Intelligence Right with Ryan Dolley of GoodData</itunes:title>
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      <itunes:summary>It’s a special edition of The Data Stack Show as we come to you from the Data Council in Austin, Texas. Brooks and Matthew co-host the show to bring you some bonus episodes from some of the leading voices in the data space. This episode, Ryan Dolley, Vice President of Product Strategy at GoodData joins the show. During the conversation, Ryan shares his journey from creative arts to data, emphasizing the importance of understanding human behavior in both fields. The discussion also covers his diverse experiences in the data industry, the existential question of what to do with abundant data, the industry&apos;s hype cycles, the challenges of self-serve data projects, the need for a balance between autonomy and governance in analytics, and more. </itunes:summary>
      <itunes:subtitle>It’s a special edition of The Data Stack Show as we come to you from the Data Council in Austin, Texas. Brooks and Matthew co-host the show to bring you some bonus episodes from some of the leading voices in the data space. This episode, Ryan Dolley, Vice President of Product Strategy at GoodData joins the show. During the conversation, Ryan shares his journey from creative arts to data, emphasizing the importance of understanding human behavior in both fields. The discussion also covers his diverse experiences in the data industry, the existential question of what to do with abundant data, the industry&apos;s hype cycles, the challenges of self-serve data projects, the need for a balance between autonomy and governance in analytics, and more. </itunes:subtitle>
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      <title>185: The Evolution of Data Processing, Data Formats, and Data Sharing with Ryan Blue of Tabular</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The Evolution of Data Processing (2:36)</li><li>Ryan’s Background and Journey in Data (4:52)</li><li>Challenges in Transitioning to S3 (8:47)</li><li>Impact of Latency on Query Performance (11:43)</li><li>Challenges with Table Representation (15:26)</li><li>Designing a New Metadata Format (21:36)</li><li>Integration with Existing Tools and Open Source Project (24:07)</li><li>Initial Features of Iceberg (26:11)</li><li>Challenges of Manual Partitioning (31:49)</li><li>Designing the Iceberg Table Format (37:31)</li><li>Trade-offs in Writing Workloads (47:22)</li><li>Database Systems and File Systems (55:00)</li><li>Vendor Influence on Access Controls (1:01:58)</li><li>Restructuring Data Security (1:03:39)</li><li>Delegating Access Controls (1:07:22)</li><li>Column-level Access Controls (1:14:19)</li><li>Exciting Releases and Future Plans (1:17:47)</li><li>Centralization of Components in Data Infrastructure (1:25:37)</li><li>Fundamental Shift in Data Architecture (1:28:28)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 10 Apr 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The Evolution of Data Processing (2:36)</li><li>Ryan’s Background and Journey in Data (4:52)</li><li>Challenges in Transitioning to S3 (8:47)</li><li>Impact of Latency on Query Performance (11:43)</li><li>Challenges with Table Representation (15:26)</li><li>Designing a New Metadata Format (21:36)</li><li>Integration with Existing Tools and Open Source Project (24:07)</li><li>Initial Features of Iceberg (26:11)</li><li>Challenges of Manual Partitioning (31:49)</li><li>Designing the Iceberg Table Format (37:31)</li><li>Trade-offs in Writing Workloads (47:22)</li><li>Database Systems and File Systems (55:00)</li><li>Vendor Influence on Access Controls (1:01:58)</li><li>Restructuring Data Security (1:03:39)</li><li>Delegating Access Controls (1:07:22)</li><li>Column-level Access Controls (1:14:19)</li><li>Exciting Releases and Future Plans (1:17:47)</li><li>Centralization of Components in Data Infrastructure (1:25:37)</li><li>Fundamental Shift in Data Architecture (1:28:28)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>185: The Evolution of Data Processing, Data Formats, and Data Sharing with Ryan Blue of Tabular</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>01:29:43</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Ryan Blue, the Co-Founder and CEO of Tabular, and also creator of Iceberg and former Cloudera and Netflix employee. During the episode, Ryan discusses the challenges of managing large-scale data and the development of Iceberg, a new table format. He explains Iceberg&apos;s benefits, such as automatic partitioning and improved metadata management, which simplify data engineers&apos; tasks and enhance query performance. The conversation covers the importance of atomicity in analytics systems, the scalability of Iceberg, and the trade-offs in mixed workload environments. Additionally, Ryan addresses the differences in cloud object storage performance and the integration of security and access controls into distributed file systems. He also touches on recent Iceberg updates, including Python and Rust support, the anticipation of view support in the upcoming release, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Ryan Blue, the Co-Founder and CEO of Tabular, and also creator of Iceberg and former Cloudera and Netflix employee. During the episode, Ryan discusses the challenges of managing large-scale data and the development of Iceberg, a new table format. He explains Iceberg&apos;s benefits, such as automatic partitioning and improved metadata management, which simplify data engineers&apos; tasks and enhance query performance. The conversation covers the importance of atomicity in analytics systems, the scalability of Iceberg, and the trade-offs in mixed workload environments. Additionally, Ryan addresses the differences in cloud object storage performance and the integration of security and access controls into distributed file systems. He also touches on recent Iceberg updates, including Python and Rust support, the anticipation of view support in the upcoming release, and more. </itunes:subtitle>
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      <title>The PRQL: The Two Parallel Tracks of Development In Data Processing with Ryan Blue of Tabular</title>
      <description><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 8 Apr 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>The PRQL: The Two Parallel Tracks of Development In Data Processing with Ryan Blue of Tabular</itunes:title>
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      <itunes:summary>In this bonus episode, Eric and Kostas preview their upcoming conversation with Ryan Blue of Tabular.</itunes:summary>
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      <title>184: Kafka Streams and Operationalizing Event Driven Applications with Apurva Mehta of Responsive</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Apruva’s background in streaming technology (0:48)</li><li>Developer experience and Kafka streams (2:47)</li><li>Motivation to bootstrap a startup (4:09)</li><li>Meeting the Confluent founders and early work at Confluent (6:59)</li><li>Projects at Confluent and transition to engineering management (10:34)</li><li>Overview of Responsive and event-driven applications (12:55)</li><li>Defining event-driven applications (15:33)</li><li>Importance of latency and state in event-driven applications (18:54)</li><li>Low Latency and Stateful Processing (21:52)</li><li>In-Memory Storage and Evolution of Kafka (25:02)</li><li>Motivation for KSQL and Kafka Streams (29:46)</li><li>Category Creation and Database-like Interface (34:33)</li><li>Developer Experience with Kafka and Kafka Streams (38:50)</li><li>Kafka Streams Functionality and Operational Challenges (41:44)</li><li>Metrics and Tuning Configurations (43:33)</li><li>Architecture and Decoupling in Kafka Streams (45:39)</li><li>State Storage and Transition from RocksDB (47:48)</li><li>Future of Event-Driven Architectures (56:30)</li><li>Final thoughts and takeaways (57:36)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 3 Apr 2024 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Apruva’s background in streaming technology (0:48)</li><li>Developer experience and Kafka streams (2:47)</li><li>Motivation to bootstrap a startup (4:09)</li><li>Meeting the Confluent founders and early work at Confluent (6:59)</li><li>Projects at Confluent and transition to engineering management (10:34)</li><li>Overview of Responsive and event-driven applications (12:55)</li><li>Defining event-driven applications (15:33)</li><li>Importance of latency and state in event-driven applications (18:54)</li><li>Low Latency and Stateful Processing (21:52)</li><li>In-Memory Storage and Evolution of Kafka (25:02)</li><li>Motivation for KSQL and Kafka Streams (29:46)</li><li>Category Creation and Database-like Interface (34:33)</li><li>Developer Experience with Kafka and Kafka Streams (38:50)</li><li>Kafka Streams Functionality and Operational Challenges (41:44)</li><li>Metrics and Tuning Configurations (43:33)</li><li>Architecture and Decoupling in Kafka Streams (45:39)</li><li>State Storage and Transition from RocksDB (47:48)</li><li>Future of Event-Driven Architectures (56:30)</li><li>Final thoughts and takeaways (57:36)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>184: Kafka Streams and Operationalizing Event Driven Applications with Apurva Mehta of Responsive</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Apurva Mehta, Co-Founder and CEO of Responsive, about event-driven applications and the necessary infrastructure. Apruva shares his journey from LinkedIn to Confluent and eventually founding Responsive, focusing on managing event-driven applications in the cloud. The discussion covers the definition of event-driven applications, the significance of latency and state in event processing, and the evolution of Kafka and Kafka Streams. They also explore the challenges of managing Kafka in production, the developer experience with Kafka Streams, and the operational complexities of running distributed stateful applications. Apruva highlights Responsive&apos;s approach to simplifying the management of these applications, the potential for innovation in event-driven architectures, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Apurva Mehta, Co-Founder and CEO of Responsive, about event-driven applications and the necessary infrastructure. Apruva shares his journey from LinkedIn to Confluent and eventually founding Responsive, focusing on managing event-driven applications in the cloud. The discussion covers the definition of event-driven applications, the significance of latency and state in event processing, and the evolution of Kafka and Kafka Streams. They also explore the challenges of managing Kafka in production, the developer experience with Kafka Streams, and the operational complexities of running distributed stateful applications. Apruva highlights Responsive&apos;s approach to simplifying the management of these applications, the potential for innovation in event-driven architectures, and more. </itunes:subtitle>
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      <pubDate>Mon, 1 Apr 2024 08:30:00 +0000</pubDate>
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      <pubDate>Wed, 27 Mar 2024 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Chad’s background and journey in data (0:46)</li><li>Importance of Data Supply Chain (2:19)</li><li>Challenges with Modern Data Stack (3:28)</li><li>Comparing Data Supply Chain to Real-world Supply Chains (4:49)</li><li>Overview of Gable.ai (8:05)</li><li>Rethinking Data Catalogs (11:42)</li><li>New Ideas for Managing Data (15:16)</li><li>Data Discovery and Governance Challenges (18:51)</li><li>Static Code Analysis and AI Impact on Data (24:55)</li><li>Creating Contracts and Defining Data Lineage (27:31)</li><li>Data Quality Issues and Upstream Problems (32:32)</li><li>Challenges with Third-Party Vendors and External Data (34:29)</li><li>Incentivizing Engineers for Data Quality (40:28)</li><li>Feedback Loops and Actionability in Data Catalogs (45:30)</li><li>Missing metadata (48:57)</li><li>Role of AI in data semantics (50:27)</li><li>Data as a product (54:26)</li><li>Slowing down to go faster (57:38)</li><li>Quantifying the cost of data changes (1:01:24)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Chad Sanderson, the CEO at Gable.ai. During the episode, Chad discusses the complexities of managing the data supply chain, emphasizing the importance of data quality, feedback loops, and aligning incentives within organizations. He shares his journey from analyst to data infrastructure leader at companies like Oracle, Sephora, and Microsoft. Chad introduces his company, Gable, which tackles upstream data quality issues. He critiques traditional data catalogs and advocates for a more dynamic, decentralized approach. The conversation explores the role of metadata, the integration of data quality checks in the software development lifecycle, the need for cultural shifts towards data responsibility, the significance of full lineage graphs and semantic metadata, treating data as a product with quality gates, and more. </itunes:subtitle>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Kevin’s background and work at Stripe (0:31)</li><li>Evolution of Data Infrastructure at Stripe (2:18)</li><li>Kevin's Interest in Data (5:29)</li><li>Software Engineer or Data Engineer? (8:27)</li><li>Speech Recognition Work at Amazon (11:06)</li><li>Efficiency and Cost Management (15:50)</li><li>Metadata and Query Analysis (18:38)</li><li>Surprising Discoveries in Metadata Analysis (21:43)</li><li>Optimizing Cost and Value (23:55)</li><li>Product Sizing Stripe Data (26:39)</li><li>Popular Tool for Data Interaction (30:08)</li><li>Enabling Data Infrastructure Integration (35:22)</li><li>Value of Data Pipelining for Stripe (39:32)</li><li>Next Generation Product and Technology (43:54)</li><li>Maximizing value in a decentralized environment (51:34)</li><li>Future of open source projects in data infrastructure (57:59)</li><li>Final thoughts and takeaways (59:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 20 Mar 2024 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Kevin’s background and work at Stripe (0:31)</li><li>Evolution of Data Infrastructure at Stripe (2:18)</li><li>Kevin's Interest in Data (5:29)</li><li>Software Engineer or Data Engineer? (8:27)</li><li>Speech Recognition Work at Amazon (11:06)</li><li>Efficiency and Cost Management (15:50)</li><li>Metadata and Query Analysis (18:38)</li><li>Surprising Discoveries in Metadata Analysis (21:43)</li><li>Optimizing Cost and Value (23:55)</li><li>Product Sizing Stripe Data (26:39)</li><li>Popular Tool for Data Interaction (30:08)</li><li>Enabling Data Infrastructure Integration (35:22)</li><li>Value of Data Pipelining for Stripe (39:32)</li><li>Next Generation Product and Technology (43:54)</li><li>Maximizing value in a decentralized environment (51:34)</li><li>Future of open source projects in data infrastructure (57:59)</li><li>Final thoughts and takeaways (59:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>182: Building a Dynamic Data Infrastructure at Enterprise Scale Featuring Kevin Liu of Stripe</itunes:title>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Kevin Liu, Software Engineer at Stripe. During the episode, Kevin discusses data infrastructure challenges and the development of data products. He also shares insights on the importance of metadata management and the role of catalogs in maintaining data consistency across various systems. The conversation also covers open-source projects like the Python Iceberg library and the future of databases in the cloud, the ease of use of internal tools, the integration of data for builders, the balance between simplicity and functionality in user interfaces, and more.</itunes:subtitle>
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      <pubDate>Mon, 18 Mar 2024 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Michael’s background and journey in data (0:33)</li><li>The origin story of Druid (2:39)</li><li>Experiences and growth in Data (8:08)</li><li>Druid's evolution (21:46)</li><li>Druid's architectural decisions (26:32)</li><li>The user experience (30:06)</li><li>The developer experience (35:14)</li><li>The evolution of BI tools (40:55)</li><li>Data architecture and integration (47:53)</li><li>AI's impact on BI (52:26)</li><li>What would Mike be doing if he didn’t work in data? (56:27)</li><li>Final thoughts and takeaways (57:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 13 Mar 2024 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Michael’s background and journey in data (0:33)</li><li>The origin story of Druid (2:39)</li><li>Experiences and growth in Data (8:08)</li><li>Druid's evolution (21:46)</li><li>Druid's architectural decisions (26:32)</li><li>The user experience (30:06)</li><li>The developer experience (35:14)</li><li>The evolution of BI tools (40:55)</li><li>Data architecture and integration (47:53)</li><li>AI's impact on BI (52:26)</li><li>What would Mike be doing if he didn’t work in data? (56:27)</li><li>Final thoughts and takeaways (57:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>181: OLAP Engines and the Next Generation of Business Intelligence with Mike Driscoll of Rill Data</itunes:title>
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      <pubDate>Mon, 11 Mar 2024 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The evolution of data operations (1:13)</li><li>Unravel's role in simplifying data operations (2:17)</li><li>Kunal’s journey from fashion to enterprise data management (5:23)\</li><li>The Unravel platform and its components (10:08)</li><li>Challenges in data operations at scale (16:34)</li><li>Users of Unravel within an organization (22:32)</li><li>Calculating ROI on data products (25:55)</li><li>Understanding the cost of data operations (27:01)</li><li>Measuring productivity and reliability (30:59)</li><li>Diversity of technologies in data operations (34:52)</li><li>Efficiency in cost management (44:15)</li><li>Implementing observability in AI (47:55)</li><li>Challenges of AI Adoption (50:17)</li><li>Final thoughts and takeaways (51:36)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 6 Mar 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The evolution of data operations (1:13)</li><li>Unravel's role in simplifying data operations (2:17)</li><li>Kunal’s journey from fashion to enterprise data management (5:23)\</li><li>The Unravel platform and its components (10:08)</li><li>Challenges in data operations at scale (16:34)</li><li>Users of Unravel within an organization (22:32)</li><li>Calculating ROI on data products (25:55)</li><li>Understanding the cost of data operations (27:01)</li><li>Measuring productivity and reliability (30:59)</li><li>Diversity of technologies in data operations (34:52)</li><li>Efficiency in cost management (44:15)</li><li>Implementing observability in AI (47:55)</li><li>Challenges of AI Adoption (50:17)</li><li>Final thoughts and takeaways (51:36)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Kunal Agarwal, the Co-Founder and CEO of Unravel Data. During the episode, Kunal discusses the evolution of data operations and the role of Unravel in simplifying these processes. The group discusses the shift towards real-time workloads, the impact of AI and machine learning, and the challenges of cloud migration and managing complex data environments. Kunal shares his journey from fashion to data management and emphasizes the importance of observability for data ops teams. The conversation also covers cost optimization, the productivity of data teams, reliability of data systems, the unique cost management considerations in cloud versus on-premises setups, and more. </itunes:subtitle>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Tony's background and research focus (3:35)</li><li>Challenges in academia and industry (6:15)</li><li>Ph.D. student's routine (10:47)</li><li>Academic paper review process (15:26)</li><li>Aha moments in research (20:05)</li><li>Academic lab structure (23:09)</li><li>The decision to move from hardware to data research (24:43)</li><li>Research focus on time series data management (27:40)</li><li>Data modeling in time series and OLAP systems (32:01)</li><li>Issues and potential solutions for parquet format (37:32)</li><li>Role of external indices in parquet files (42:19)</li><li>Tony's open source project (47:11)</li><li>Final thoughts and takeaways (49:30)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 28 Feb 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Tony's background and research focus (3:35)</li><li>Challenges in academia and industry (6:15)</li><li>Ph.D. student's routine (10:47)</li><li>Academic paper review process (15:26)</li><li>Aha moments in research (20:05)</li><li>Academic lab structure (23:09)</li><li>The decision to move from hardware to data research (24:43)</li><li>Research focus on time series data management (27:40)</li><li>Data modeling in time series and OLAP systems (32:01)</li><li>Issues and potential solutions for parquet format (37:32)</li><li>Role of external indices in parquet files (42:19)</li><li>Tony's open source project (47:11)</li><li>Final thoughts and takeaways (49:30)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>179: Time Series Data Management and Data Modeling with Tony Wang of Stanford University</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Tony Wang, Graduate Research Assistant (PhD) at Stanford University. During the episode, Tony discusses his journey from China to studying electrical and hardware engineering at MIT, his transition to data processing systems for his Ph.D., and the academic-industry connection. Tony shares insights on cloud data processing, the limitations of academic hardware projects compared to industry giants like NVIDIA, and the potential for software innovation in academia. He also delves into his current research focus on time series data management, the challenges of integrating different data systems, the goal of improving data processing efficiency, the sales aspect of his research, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Tony Wang, Graduate Research Assistant (PhD) at Stanford University. During the episode, Tony discusses his journey from China to studying electrical and hardware engineering at MIT, his transition to data processing systems for his Ph.D., and the academic-industry connection. Tony shares insights on cloud data processing, the limitations of academic hardware projects compared to industry giants like NVIDIA, and the potential for software innovation in academia. He also delves into his current research focus on time series data management, the challenges of integrating different data systems, the goal of improving data processing efficiency, the sales aspect of his research, and more. </itunes:subtitle>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Peter's background and journey in data (0:26)</li><li>Introduction to PLG (4:18)</li><li>Starting in data at Heroku (6:05)</li><li>Building the data stack at Heroku (8:13)</li><li>Data stack requirements for early-stage companies (12:00)</li><li>Differentiating PLG companies from open source companies (19:26)</li><li>Venture capital and open source as a lever for growth (22:56)</li><li>Initial data modeling and analysis (25:38)</li><li>Operationalizing Data (29:16)</li><li>Sales and Marketing Operationalization (31:52)</li><li>Identifying Signals (34:16)</li><li>Challenges in Developing Signals (37:07)</li><li>Account Management for Developer Tools (42:30)</li><li>Challenges in Achieving Margins (45:02)</li><li>Leveraging Infrastructure for Margins (47:35)</li><li>Inference vs Training (54:55)</li><li>Final thoughts and takeaways (57:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 21 Feb 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Peter's background and journey in data (0:26)</li><li>Introduction to PLG (4:18)</li><li>Starting in data at Heroku (6:05)</li><li>Building the data stack at Heroku (8:13)</li><li>Data stack requirements for early-stage companies (12:00)</li><li>Differentiating PLG companies from open source companies (19:26)</li><li>Venture capital and open source as a lever for growth (22:56)</li><li>Initial data modeling and analysis (25:38)</li><li>Operationalizing Data (29:16)</li><li>Sales and Marketing Operationalization (31:52)</li><li>Identifying Signals (34:16)</li><li>Challenges in Developing Signals (37:07)</li><li>Account Management for Developer Tools (42:30)</li><li>Challenges in Achieving Margins (45:02)</li><li>Leveraging Infrastructure for Margins (47:35)</li><li>Inference vs Training (54:55)</li><li>Final thoughts and takeaways (57:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>178: How to Build a Data Stack to Win PLG, Featuring Peter Chapman</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Peter Chapman, Peter is a consultant who specializes in helping PLG companies drive more revenue with data. With a background in data and revenue operations, Peter shares his experiences in building data stacks at startups like Heroku, emphasizing the early consideration of data architecture to avoid future issues. He highlights the significance of a cohesive data stack for product-led growth companies and the unique challenges faced by open source companies in commercializing their projects. The conversation also explores the operationalization of data, the importance of aligning sales with a company&apos;s technical ethos, debating the balance between inference and training costs, the strategic approach to margins by focusing on enterprise features over infrastructure reselling, and more. If you&apos;d like to contact Peter about his advisory services, his email is peter@chapman-coaching.com.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Peter Chapman, Peter is a consultant who specializes in helping PLG companies drive more revenue with data. With a background in data and revenue operations, Peter shares his experiences in building data stacks at startups like Heroku, emphasizing the early consideration of data architecture to avoid future issues. He highlights the significance of a cohesive data stack for product-led growth companies and the unique challenges faced by open source companies in commercializing their projects. The conversation also explores the operationalization of data, the importance of aligning sales with a company&apos;s technical ethos, debating the balance between inference and training costs, the strategic approach to margins by focusing on enterprise features over infrastructure reselling, and more. If you&apos;d like to contact Peter about his advisory services, his email is peter@chapman-coaching.com.</itunes:subtitle>
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      <pubDate>Mon, 19 Feb 2024 09:30:00 +0000</pubDate>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Rishabh Bhargava, Co-Founder and CEO of refuel. During the episode, the group discusses the evolution of AI, machine learning, and large language models (LLMs). Rish shares his background and the inception of refuel, which focuses on making clean and reliable data accessible for businesses through data cleaning, labeling, and enrichment using LLMs. The conversation explores the impact of LLMs on data quality, the challenges of implementing LLM technology, and the user experience of working with LLMs. They also touch upon the importance of confidence scores in machine learning and the iterative process of model training, a practical use case involving refuel and RudderStack, and more.</itunes:subtitle>
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      <pubDate>Wed, 7 Feb 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Viren’s background in data (0:39)</li><li>Evolution of Orchestration (1:52)</li><li>AI Orchestration (3:00)</li><li>Understanding Conductor and orkes (6:26)</li><li>Event-Driven Orchestration (8:10)</li><li>Viren’s Transition to Founder (12:27)</li><li>Non-Technical Aspects of Being a Founder (15:50)</li><li>Democratizing AI for Developers (18:16)</li><li>The evolution of microservices orchestration (21:56)</li><li>Challenges in appealing to the 99% developer group (24:32)</li><li>Value of orchestration for developers (30:31)</li><li>Role of orchestrators in managing faults (37:37)</li><li>The intersection of AI and orchestration (40:27)</li><li>Evolution of AI (44:04)</li><li>Thriving in AI Environment (47:58)</li><li>Final thoughts and takeaways (51:25)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Viren Baraiya, the Co-Founder and CTO of orkes.io. During the episode, Viren discusses the evolution of orchestration in the context of AI and large-scale systems. The group discusses the transition from Viren’s work at Netflix to founding orkes.io, the challenges of integrating AI into applications, and the importance of orchestration to manage these complexities. He also highlights the non-deterministic nature of AI, the need for guardrails, and the potential for AI to change technology interaction. The episode also covers the recent move of Netflix&apos;s Conductor project to a community foundation, the future of AI in business and its impact on job creation, and more.</itunes:summary>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Introduction of the panel (0:05)</li><li>Defining composable data stack (5:22)</li><li>Components of a composable data stack (7:49)</li><li>Challenges and incentives for composable components (10:37)</li><li>Specialization and modularity in data workloads (13:05)</li><li>Organic evolution of composable systems (17:50)</li><li>Efficiency and common layers in data management systems (22:09)</li><li>The IR and Data Computation (23:00)</li><li>Components of the Storage Layer (26:16)</li><li>Decoupling Language and Execution (29:42)</li><li>Apache Calcite and Modular Frontend (36:46)</li><li>Data Types and Coercion (39:27)</li><li>Describing Data Sets and Schema (42:00)</li><li>Open Standards and Frontiers (46:22)</li><li>Challenges of standardizing APIs (48:15)</li><li>Trade-offs in building composable systems (54:04)</li><li>Evolution of data system composability (56:32)</li><li>Exciting new projects in data systems (1:01:57)</li><li>Final thoughts and takeaways (1:17:25)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 31 Jan 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Introduction of the panel (0:05)</li><li>Defining composable data stack (5:22)</li><li>Components of a composable data stack (7:49)</li><li>Challenges and incentives for composable components (10:37)</li><li>Specialization and modularity in data workloads (13:05)</li><li>Organic evolution of composable systems (17:50)</li><li>Efficiency and common layers in data management systems (22:09)</li><li>The IR and Data Computation (23:00)</li><li>Components of the Storage Layer (26:16)</li><li>Decoupling Language and Execution (29:42)</li><li>Apache Calcite and Modular Frontend (36:46)</li><li>Data Types and Coercion (39:27)</li><li>Describing Data Sets and Schema (42:00)</li><li>Open Standards and Frontiers (46:22)</li><li>Challenges of standardizing APIs (48:15)</li><li>Trade-offs in building composable systems (54:04)</li><li>Evolution of data system composability (56:32)</li><li>Exciting new projects in data systems (1:01:57)</li><li>Final thoughts and takeaways (1:17:25)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>175: The Parts, Pieces, and Future of Composable Data Systems, Featuring Wes McKinney, Pedro Pedreira, Chris Riccomini, and Ryan Blue</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with a panel of experts as Wes McKinnyey (Cofounder, Voltron), Ryan Blue (Co-Founder and CEO, Tabular), Chris Riccomini (Seed Investor, Various Startups), Pedro Pedreira (Software Engineer, Meta), all share their thoughts around the topic of composable data stacks. During the conversation, the group chats about the importance of open standards and APIs for efficient interoperability in data management systems, the evolution of data workloads, the need for specialization, and the challenges in building composable components. The conversation also covered the significance of an intermediate representation (IR) for decoupling various layers of data systems, the complexities of data types, and the desire for more secure data sharing methods. The panelists explored the evolution of open standards and the trade-offs between composable and monolithic systems, expressing excitement about new data infrastructure projects and technologies, modular execution engines, new query interfaces, standardizing policy decisions across different data management platforms, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with a panel of experts as Wes McKinnyey (Cofounder, Voltron), Ryan Blue (Co-Founder and CEO, Tabular), Chris Riccomini (Seed Investor, Various Startups), Pedro Pedreira (Software Engineer, Meta), all share their thoughts around the topic of composable data stacks. During the conversation, the group chats about the importance of open standards and APIs for efficient interoperability in data management systems, the evolution of data workloads, the need for specialization, and the challenges in building composable components. The conversation also covered the significance of an intermediate representation (IR) for decoupling various layers of data systems, the complexities of data types, and the desire for more secure data sharing methods. The panelists explored the evolution of open standards and the trade-offs between composable and monolithic systems, expressing excitement about new data infrastructure projects and technologies, modular execution engines, new query interfaces, standardizing policy decisions across different data management platforms, and more. </itunes:subtitle>
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      <pubDate>Mon, 29 Jan 2024 09:30:00 +0000</pubDate>
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      <pubDate>Wed, 24 Jan 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Artyom’s background in the data space (0:32)</li><li>The growth and changes at Cube (5:58)</li><li>Pain points of managing metrics definitions across different tools (9:39)</li><li>Trade-offs between coupled and decoupled semantic layers (12:12)</li><li>Making a case for implementing a semantic layer (14:17)</li><li>The evolution of semantic layers (23:28)</li><li>Challenges in designing a decoupled semantic layer (24:16)</li><li>Different approaches to solving the interface problem (26:58)</li><li>Implementing a SQL engine in Cube (35:58)</li><li>Overhead and debugging in semantic layers (39:08)</li><li>The semantic layer and its importance (46:26)</li><li>The need for semantics in data products (47:34)</li><li>What’s the future of semantic layers and user experience? (51:49)</li><li>Final thoughts and takeaways (57:34)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <pubDate>Mon, 22 Jan 2024 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>No Code Analytics (1:22)</li><li>Analytics as a Team Sport (2:31)</li><li>The workflow of someone without Alteryx (11:27)</li><li>Alteryx's ability to handle diverse data sources (14:32)</li><li>The balance between ease of use and complexity (23:06)</li><li>Enabling casual end users with a no code interface (24:19)</li><li>Taking analytics to the data (31:47)</li><li>The boundaries between data engineers and end users (33:44)</li><li>The importance of collaboration in analytics (34:12)</li><li>The potential of every employee being a data worker (35:28)</li><li>The human nature of the product and users in large enterprises (00:45:38)</li><li>Final thoughts and takeaways (46:21)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>No Code Analytics (1:22)</li><li>Analytics as a Team Sport (2:31)</li><li>The workflow of someone without Alteryx (11:27)</li><li>Alteryx's ability to handle diverse data sources (14:32)</li><li>The balance between ease of use and complexity (23:06)</li><li>Enabling casual end users with a no code interface (24:19)</li><li>Taking analytics to the data (31:47)</li><li>The boundaries between data engineers and end users (33:44)</li><li>The importance of collaboration in analytics (34:12)</li><li>The potential of every employee being a data worker (35:28)</li><li>The human nature of the product and users in large enterprises (00:45:38)</li><li>Final thoughts and takeaways (46:21)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <pubDate>Wed, 10 Jan 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Matt’s background and journey with Fermyon (2:32)</li><li>WebAssembly and enhanced security models (3:43)</li><li>The IOT Startup and Google Acquisition (10:49)</li><li>Google's Early Containers (11:50)</li><li>Scaling and anticipating requests (20:22)</li><li>Introduction to WebAssembly and its importance (23:32)</li><li>The Benefits of WebAssembly (30:57)</li><li>Comparison of Virtual Machines, Containers, and Micro VMs (33:12)</li><li>The Importance of Fast Startup Times in WebAssembly (37:39)</li><li>Metaphysics and software development (42:12)</li><li>The importance of effective communication in code development (43:18)</li><li>The challenges and progress of WebAssembly (47:40)</li><li>Requirements of different teams and different jobs (52:17)</li><li>Final thoughts and takeaway (53:14)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <pubDate>Mon, 8 Jan 2024 09:30:00 +0000</pubDate>
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      <pubDate>Wed, 3 Jan 2024 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The role of an orchestrator in the lifecycle of data (1:34)</li><li>Relevance of orchestration in data pipelines (00:02:45)</li><li>Changes around data ops and MLOps (3:37)</li><li>Data Cleaning (11:42)</li><li>Overview of Dagster (13:50)</li><li>Assets vs Tasks in Data Pipeline (19:15)</li><li>Building a Data Pipeline with Dexter (25:40)</li><li>Difference between Data Asset and Materialized Dataset (28:28)</li><li>Defining Lineage and Data Assets in Dagster (29:32)</li><li>The boundaries of software and organizational structures (37:25)</li><li>The benefits of a unified orchestration framework (39:56)</li><li>Orchestration in the development phase (45:29)</li><li>The emergence of analytics engineer role (51:53)</li><li>Fluidity in data pipeline and infrastructure roles (52:40)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>171: Machine Learning Pipelines Are Still Data Pipelines with Sandy Ryza of Dagster</itunes:title>
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      <pubDate>Tue, 2 Jan 2024 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The evolution of the data scientist role (1:03)</li><li>Common problems in different companies (2:05)</li><li>Measuring and curating content on Reddit (4:29)</li><li>The challenges of working with unstructured content at Reddit and Twitter (11:03)</li><li>Lessons learned from Reddit and applying them at Twitter (13:17)</li><li>Data challenges and customer behavior analysis at GlossGenius (20:16)</li><li>How the data scientist's role has changed over time (00:25:10)</li><li>The essence of the data scientist/engineer role (29:00)</li><li>Dynamics and overlaps between different data roles (32:09)</li><li>The perfect data team for Twitter (34:19)</li><li>Building a data team at a startup like GlossGenius (36:36)</li><li>The right time to bring in a dedicated data person in a startup (38:52)</li><li>The analytics engineer role (46:25)</li><li>Challenges in implementing telemetry (50:31)</li><li>Final thoughts and takeaways (52:24)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 27 Dec 2023 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The evolution of the data scientist role (1:03)</li><li>Common problems in different companies (2:05)</li><li>Measuring and curating content on Reddit (4:29)</li><li>The challenges of working with unstructured content at Reddit and Twitter (11:03)</li><li>Lessons learned from Reddit and applying them at Twitter (13:17)</li><li>Data challenges and customer behavior analysis at GlossGenius (20:16)</li><li>How the data scientist's role has changed over time (00:25:10)</li><li>The essence of the data scientist/engineer role (29:00)</li><li>Dynamics and overlaps between different data roles (32:09)</li><li>The perfect data team for Twitter (34:19)</li><li>Building a data team at a startup like GlossGenius (36:36)</li><li>The right time to bring in a dedicated data person in a startup (38:52)</li><li>The analytics engineer role (46:25)</li><li>Challenges in implementing telemetry (50:31)</li><li>Final thoughts and takeaways (52:24)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>170: Discussing Data Roles and Solving Data Problems with Katie Bauer of GlossGenius</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Katie Bauer, the Head of Data at GlossGenius. During the episode, Katie shares her journey in data science, starting from academia to working in various industries including natural language search, social media, and now the beauty and salon space. She discusses the evolution of the data scientist role, the challenges faced in different companies, and the importance of understanding the specific needs of different business models. She also highlights the potential of using data products to provide value back to businesses, the importance of having an analytics engineer in an organization, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Katie Bauer, the Head of Data at GlossGenius. During the episode, Katie shares her journey in data science, starting from academia to working in various industries including natural language search, social media, and now the beauty and salon space. She discusses the evolution of the data scientist role, the challenges faced in different companies, and the importance of understanding the specific needs of different business models. She also highlights the potential of using data products to provide value back to businesses, the importance of having an analytics engineer in an organization, and more. </itunes:subtitle>
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      <pubDate>Tue, 26 Dec 2023 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The Evolution of Databases and Data Systems (2:33)</li><li>Abstracting Data for Business Users (4:31)</li><li>Building a Database for Google-like Search (7:58)</li><li>The Big Data Explosion (11:10)</li><li>Selling Myspace as First Customer (13:14)</li><li>Starting ActionIQ (16:57)</li><li>The customer-centric organization (22:46)</li><li>Transitioning to customer data focus (23:53)</li><li>Understanding business users' needs (28:30)</li><li>Supporting Arbitrary Queries and Data Models (34:42)</li><li>Unique Technical Perspective of Clickstream Data (37:01)</li><li>The value per terabyte of data (46:45)</li><li>Building a product for multiple personas (50:45)</li><li>Composability and Benefits (58:05)</li><li>Evolution of Storage and Compute (1:00:09)</li><li>Composability and Treasure Data (1:02:10)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 20 Dec 2023 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The Evolution of Databases and Data Systems (2:33)</li><li>Abstracting Data for Business Users (4:31)</li><li>Building a Database for Google-like Search (7:58)</li><li>The Big Data Explosion (11:10)</li><li>Selling Myspace as First Customer (13:14)</li><li>Starting ActionIQ (16:57)</li><li>The customer-centric organization (22:46)</li><li>Transitioning to customer data focus (23:53)</li><li>Understanding business users' needs (28:30)</li><li>Supporting Arbitrary Queries and Data Models (34:42)</li><li>Unique Technical Perspective of Clickstream Data (37:01)</li><li>The value per terabyte of data (46:45)</li><li>Building a product for multiple personas (50:45)</li><li>Composability and Benefits (58:05)</li><li>Evolution of Storage and Compute (1:00:09)</li><li>Composability and Treasure Data (1:02:10)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>169: Data Models: From Warehouse to Business Impact with Tasso Argyros of ActionIQ</itunes:title>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Tasso Argyros, the Founder &amp; CEO of ActionIQ. During the episode, Tasso shares his journey from Stanford to founding ActionIQ. He discusses the evolution of database architecture, the challenges of handling customer data at scale, and the importance of making data accessible to business users. Tasso also discusses his experience selling MySpace as his first customer and how ActionIQ bridges the gap between data engineering and marketing. He emphasizes the importance of customer interaction, understanding business user needs, creating a flexible, workload-agnostic infrastructure, the future of customer data platforms, and more. </itunes:subtitle>
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      <pubDate>Mon, 18 Dec 2023 09:30:00 +0000</pubDate>
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      <title>168: Decoding Data Mesh: Principles, Practices, and Real-World Applications Featuring Paolo Platter, Zhamak Dehghani, and Melissa Logan</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Defining data mesh (6:37)</li><li>Addressing the scale of organizational complexity and usage (9:04)</li><li>The shift from monolithic to microservices (12:24)</li><li>The sociological structure in data mesh (13:59)</li><li>Data product generation and sharing in data mesh (17:27)</li><li>Data Mesh: Simplifying Data Work (24:09)</li><li>Getting Started with Data Mesh (29:14)</li><li>Building products for Data Mesh (36:42)</li><li>Building a customizable and extensible platform to shape data practice (39:28)</li><li>The characteristics of a data product (48:40)</li><li>Defining what a data product is not (50:45)</li><li>The origin of the term "mesh" in data mesh (53:32)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 13 Dec 2023 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Defining data mesh (6:37)</li><li>Addressing the scale of organizational complexity and usage (9:04)</li><li>The shift from monolithic to microservices (12:24)</li><li>The sociological structure in data mesh (13:59)</li><li>Data product generation and sharing in data mesh (17:27)</li><li>Data Mesh: Simplifying Data Work (24:09)</li><li>Getting Started with Data Mesh (29:14)</li><li>Building products for Data Mesh (36:42)</li><li>Building a customizable and extensible platform to shape data practice (39:28)</li><li>The characteristics of a data product (48:40)</li><li>Defining what a data product is not (50:45)</li><li>The origin of the term "mesh" in data mesh (53:32)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
      <enclosure length="54416487" type="audio/mpeg" url="https://afp-928695-injected.calisto.simplecastaudio.com/e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c/episodes/6c5b9187-598c-49df-895d-4ad02e4c79d3/audio/128/default.mp3?aid=rss_feed&amp;awCollectionId=e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c&amp;awEpisodeId=6c5b9187-598c-49df-895d-4ad02e4c79d3&amp;feed=m3Tr79ut"/>
      <itunes:title>168: Decoding Data Mesh: Principles, Practices, and Real-World Applications Featuring Paolo Platter, Zhamak Dehghani, and Melissa Logan</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Paolo Platter, Zhamak Dehghani, and Melissa Logan about the concept of data mesh, a complex topic that encompasses both technical and organizational aspects. During this conversation, the group discusses the transition from a monolithic IT team to a data mesh model, the implementation and adoption of data mesh, and the concept of data products within the data mesh framework. The episode emphasizes the importance of empowering domain practitioners and building platforms that support the creation and sharing of data products to enable the implementation of data mesh, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Paolo Platter, Zhamak Dehghani, and Melissa Logan about the concept of data mesh, a complex topic that encompasses both technical and organizational aspects. During this conversation, the group discusses the transition from a monolithic IT team to a data mesh model, the implementation and adoption of data mesh, and the concept of data products within the data mesh framework. The episode emphasizes the importance of empowering domain practitioners and building platforms that support the creation and sharing of data products to enable the implementation of data mesh, and more. </itunes:subtitle>
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      <pubDate>Mon, 11 Dec 2023 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ben’s background in real estate (3:27)</li><li>Why Fundrise was Started (4:37)</li><li>Democratizing Investment Opportunities (6:35)</li><li>Investment Thesis for Venture (11:55)</li><li>Challenges with Data and Technology (12:34)</li><li>Importance of Data Model Abstraction (20:03)</li><li>Data Infrastructure and Investments (23:22)</li><li>Evolution of Data Engineering (25:12)</li><li>Closing the Tooling Gap (34:23)</li><li>The user base segmentation (36:28)</li><li>The emotional reality of investment decisions (40:50)</li><li>Data inputs for real estate investment (47:07)</li><li>The work of data infrastructure (48:28)</li><li>The limitations of underwriting analysis (49:36)</li><li>Improving accuracy with data infrastructure (52:43)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 6 Dec 2023 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ben’s background in real estate (3:27)</li><li>Why Fundrise was Started (4:37)</li><li>Democratizing Investment Opportunities (6:35)</li><li>Investment Thesis for Venture (11:55)</li><li>Challenges with Data and Technology (12:34)</li><li>Importance of Data Model Abstraction (20:03)</li><li>Data Infrastructure and Investments (23:22)</li><li>Evolution of Data Engineering (25:12)</li><li>Closing the Tooling Gap (34:23)</li><li>The user base segmentation (36:28)</li><li>The emotional reality of investment decisions (40:50)</li><li>Data inputs for real estate investment (47:07)</li><li>The work of data infrastructure (48:28)</li><li>The limitations of underwriting analysis (49:36)</li><li>Improving accuracy with data infrastructure (52:43)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Ben Miller, the Co-Founder and CEO of Fundrise. During the episode, Ben discusses how Fundrise democratizes investment opportunities in asset classes such as corporate real estate and venture capital. He explains how Fundrise is a data-driven company and discusses its approach to data modeling and analysis while also sharing his views on the future of data infrastructure, emphasizing the need for it to be accessible to non-technical users. The conversation also covers the role of emotions in investment decisions, the challenges of data analysis in the financial industry, and more. </itunes:subtitle>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The concept of composable at a lower level of data infrastructure (1:28)</li><li>New architectures and components that allow developers to build databases (3:44)</li><li>Pedro's background and experience in data infrastructure (6:18)</li><li>The Spectrum of Latency and Analytics (12:59)</li><li>Different Query Engines for Different Use Cases (16:32)</li><li>Vectorized vs Code Gen Data Processing (19:33)</li><li>Vectorization and Code Generation (21:21)</li><li>Examples of Vectorized Engines (24:33)</li><li>Rewriting Execution Engine in C++ (27:22)</li><li>Different Organization of Presto and Spark (33:17)</li><li>Arrow and its Extensions (37:15)</li><li>The similarities between analytics and ML (44:33)</li><li>Offline feature engineering and data preprocessing for training (48:00)</li><li>Dialect and semantic differences in using Velox for different engines (50:01)</li><li>The convergence of dialects (52:23)</li><li>Challenges of substrate and semantics (53:18)</li><li>Future plans for Velox (58:09)</li><li>The discussion on evolving Parquet (1:03:38)</li><li>The integration of the relational model and the tensor model (1:07:29)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 29 Nov 2023 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The concept of composable at a lower level of data infrastructure (1:28)</li><li>New architectures and components that allow developers to build databases (3:44)</li><li>Pedro's background and experience in data infrastructure (6:18)</li><li>The Spectrum of Latency and Analytics (12:59)</li><li>Different Query Engines for Different Use Cases (16:32)</li><li>Vectorized vs Code Gen Data Processing (19:33)</li><li>Vectorization and Code Generation (21:21)</li><li>Examples of Vectorized Engines (24:33)</li><li>Rewriting Execution Engine in C++ (27:22)</li><li>Different Organization of Presto and Spark (33:17)</li><li>Arrow and its Extensions (37:15)</li><li>The similarities between analytics and ML (44:33)</li><li>Offline feature engineering and data preprocessing for training (48:00)</li><li>Dialect and semantic differences in using Velox for different engines (50:01)</li><li>The convergence of dialects (52:23)</li><li>Challenges of substrate and semantics (53:18)</li><li>Future plans for Velox (58:09)</li><li>The discussion on evolving Parquet (1:03:38)</li><li>The integration of the relational model and the tensor model (1:07:29)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Pedro Pedreira, a Software Engineer at Meta (formerly Facebook). During the conversation, Pedro discusses the intricacies of data infrastructure and the concept of composability. He delves into the specifics of data latency, explaining the spectrum of requirements from low-latency dashboards to high-latency batch queries. Pedro also discusses the concept of vectorization in database operations and the benefits it brings. The conversation shifts to the development and usage of certain libraries and the goal of converging dialects in data computation. Don’t miss this great episode!</itunes:subtitle>
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      <pubDate>Mon, 27 Nov 2023 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Colin's Background and Starting Omni (1:48)</li><li>Defining “good” at Google search early in his career (4:42)</li><li>Looker's Unique Approach to Analytics (9:48)</li><li>The paradigm shift in analytics (10:52)</li><li>The architecture of Looker and its influence (12:04)</li><li>Combatting the challenge of unbundling in the data stack (14:26)</li><li>The evolution of analytics engineering (21:50)</li><li>Enhancing user flexibility in Omni (23:44)</li><li>The evolution of BI tools (32:53)</li><li>What does the future look like for BI tools? (35:14)</li><li>The role of Python and notebooks in BI (39:48)</li><li>The product experience of Omni and its vision (45:27)</li><li>Expectations for the future of Omni (47:52)</li><li>The relationship between algorithms and business logic (50:51)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 22 Nov 2023 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Colin's Background and Starting Omni (1:48)</li><li>Defining “good” at Google search early in his career (4:42)</li><li>Looker's Unique Approach to Analytics (9:48)</li><li>The paradigm shift in analytics (10:52)</li><li>The architecture of Looker and its influence (12:04)</li><li>Combatting the challenge of unbundling in the data stack (14:26)</li><li>The evolution of analytics engineering (21:50)</li><li>Enhancing user flexibility in Omni (23:44)</li><li>The evolution of BI tools (32:53)</li><li>What does the future look like for BI tools? (35:14)</li><li>The role of Python and notebooks in BI (39:48)</li><li>The product experience of Omni and its vision (45:27)</li><li>Expectations for the future of Omni (47:52)</li><li>The relationship between algorithms and business logic (50:51)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Colin Zima, the Co-Founder and CEO of Omni, a company building consistency of a shared data model with the freedom of SQL. During the episode, Colin, a former Looker employee and Co-Founder of Omni, shares insights into Looker&apos;s impact on the data industry, its unique architecture, and the role it played in the evolution of data analytics. He also discusses the concept of an analytics engineer, the balance between governance and flexibility in data modeling, the future of business intelligence, the merging of SQL and Python, the vision for Omni, and more. </itunes:subtitle>
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advertising.
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      <pubDate>Mon, 20 Nov 2023 09:30:00 +0000</pubDate>
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      <pubDate>Wed, 15 Nov 2023 09:30:00 +0000</pubDate>
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      <pubDate>Mon, 13 Nov 2023 09:30:00 +0000</pubDate>
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      <pubDate>Wed, 8 Nov 2023 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Johnny and David’s background in working together (1:56)</li><li>The background story of Estuary (4:15)</li><li>The challenges of ad tech and the need for low latency (5:44)</li><li>Use cases for moving data at scale (10:35)</li><li>Real-time data replication methods (11:54)</li><li>Challenges with Kafka and the birth of Gazette (13:54)</li><li>Comparing Kafka and Gazette (20:22)</li><li>The importance of existing streaming tools (22:28)</li><li>Challenges of managing Kafka and the need for a different approach (23:40)</li><li>The role of compaction in streaming applications (26:54)</li><li>The challenge of relaxing state management (34:01)</li><li>Replication and the problem of data synchronization (36:48)</li><li>Incremental Back Fills and Risk-Free Production Database (46:03)</li><li>Estuary as a Platform and Connectors (47:45)</li><li>The challenges of real-time streaming (57:56)</li><li>Orchestration in real-time streaming (1:00:51)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with David Yaffe and Johnny Graettinger, Co-Founders of Estuary, a company building the next generation of real-time data integration solutions. During the episode, David and Johnny discuss streaming technology, the challenges of real-time streaming, the importance of low latency and high-scale data processing in the ad tech industry. They delve into the reasons behind building Estuary, its unique approach to decoupling storage and computing, and its focus on real-time updates and scalability. They also touch on the complexities of state management in streaming applications, data mesh, the impact of streaming on data processing and orchestration, and more.</itunes:subtitle>
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      <pubDate>Mon, 6 Nov 2023 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The potential of AI-driven applications (1:34)</li><li>The need for hardware infrastructure in AI experimentation (2:40)</li><li>Oligopoly on the closed side (11:50)</li><li>Advantages of private side vs. open source (13:18)</li><li>Leveraging valuable data within enterprises (16:00)</li><li>The urgency of adopting LLMs in the enterprise (24:02)</li><li>Expansion of LLMs into new business verticals (25:06)</li><li>The challenges of operationalizing LLMs (29:32)</li><li>Seamless experience with OpenAI (37:29)</li><li>Operationalizing with Gradient (38:36)</li><li>The early genesis of Gradient (48:53)</li><li>The democratization of AI through endpoints (51:44)</li><li>What is the future of language models? (54:07)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com.</a></p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 1 Nov 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The potential of AI-driven applications (1:34)</li><li>The need for hardware infrastructure in AI experimentation (2:40)</li><li>Oligopoly on the closed side (11:50)</li><li>Advantages of private side vs. open source (13:18)</li><li>Leveraging valuable data within enterprises (16:00)</li><li>The urgency of adopting LLMs in the enterprise (24:02)</li><li>Expansion of LLMs into new business verticals (25:06)</li><li>The challenges of operationalizing LLMs (29:32)</li><li>Seamless experience with OpenAI (37:29)</li><li>Operationalizing with Gradient (38:36)</li><li>The early genesis of Gradient (48:53)</li><li>The democratization of AI through endpoints (51:44)</li><li>What is the future of language models? (54:07)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com.</a></p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Chang’s background and journey with Pandas (6:26)</li><li>The persisting challenges in data collection and preparation (10:37)</li><li>The resistance to change in using Python for data workflows (13:05)</li><li>AI hype and its impact (14:09)</li><li>The success and evolution of Pandas as a data framework (20:04)</li><li>The vision for a next-generation data infrastructure (26:48]</li><li>LanceDB's file and table format (34:35)</li><li>Trade-Offs in Lance Format (42:45)</li><li>Introducing the Vector Database (46:30)</li><li>The split between production and serving databases (51:14)</li><li>The importance of unstructured data and multimodal use cases (57:01)</li><li>The potential of generative AI and the balance between value and hype (1:01:34)</li><li>Changing expectations of interacting with information systems (1:13:53)</li><li>Final thoughts and takeaways (1:15:32)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 25 Oct 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Chang’s background and journey with Pandas (6:26)</li><li>The persisting challenges in data collection and preparation (10:37)</li><li>The resistance to change in using Python for data workflows (13:05)</li><li>AI hype and its impact (14:09)</li><li>The success and evolution of Pandas as a data framework (20:04)</li><li>The vision for a next-generation data infrastructure (26:48]</li><li>LanceDB's file and table format (34:35)</li><li>Trade-Offs in Lance Format (42:45)</li><li>Introducing the Vector Database (46:30)</li><li>The split between production and serving databases (51:14)</li><li>The importance of unstructured data and multimodal use cases (57:01)</li><li>The potential of generative AI and the balance between value and hype (1:01:34)</li><li>Changing expectations of interacting with information systems (1:13:53)</li><li>Final thoughts and takeaways (1:15:32)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <pubDate>Mon, 23 Oct 2023 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Santona’s journey from nuclear physics to data science (4:59)</li><li>The appeal of startups and wearing multiple hats (8:12)</li><li>The challenge of pseudoscience in the news (10:24)</li><li>Approaching data with creativity and rigor (13:22)</li><li>Challenges and differences in data workflows (14:39)</li><li>Schema Evolution and Quality Problems (27:01)</li><li>Real-time Data Monitoring and Anomaly Detection (30:34)</li><li>The importance of data as a business differentiator (35:48)</li><li>The SQL job creation process (46:25)</li><li>Different options for creating solver jobs (47:20)</li><li>Adding column-level expectations (50:17)</li><li>Discussing the differences of working with data as a scientist and in a startup (1:00:18)</li><li>Final thoughts and takeaways (1:04:01)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 18 Oct 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Santona’s journey from nuclear physics to data science (4:59)</li><li>The appeal of startups and wearing multiple hats (8:12)</li><li>The challenge of pseudoscience in the news (10:24)</li><li>Approaching data with creativity and rigor (13:22)</li><li>Challenges and differences in data workflows (14:39)</li><li>Schema Evolution and Quality Problems (27:01)</li><li>Real-time Data Monitoring and Anomaly Detection (30:34)</li><li>The importance of data as a business differentiator (35:48)</li><li>The SQL job creation process (46:25)</li><li>Different options for creating solver jobs (47:20)</li><li>Adding column-level expectations (50:17)</li><li>Discussing the differences of working with data as a scientist and in a startup (1:00:18)</li><li>Final thoughts and takeaways (1:04:01)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>How music impacted Bob’s data journey (3:16)</li><li>Music’s relationship with creativity and innovation (11:38)</li><li>The genesis of Weaviate and the idea of vector databases (14:09)</li><li>The joy of creation (19:02)</li><li>OLAP Databases (22:21)</li><li>The progression of complexity in databases (24:31)</li><li>Vector database (29:23)</li><li>Scaling suboptimal algorithms (34:34)</li><li>The future of vector space representation (35:51)</li><li>Databases role in different industries (39:14)</li><li>The brute force approach to discovery (45:57)</li><li>Retrieval augmented generation (51:26)</li><li>How generative model interacts with the database (57:55)</li><li>Final thoughts and takeaways (1:03:20)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 11 Oct 2023 10:00:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>How music impacted Bob’s data journey (3:16)</li><li>Music’s relationship with creativity and innovation (11:38)</li><li>The genesis of Weaviate and the idea of vector databases (14:09)</li><li>The joy of creation (19:02)</li><li>OLAP Databases (22:21)</li><li>The progression of complexity in databases (24:31)</li><li>Vector database (29:23)</li><li>Scaling suboptimal algorithms (34:34)</li><li>The future of vector space representation (35:51)</li><li>Databases role in different industries (39:14)</li><li>The brute force approach to discovery (45:57)</li><li>Retrieval augmented generation (51:26)</li><li>How generative model interacts with the database (57:55)</li><li>Final thoughts and takeaways (1:03:20)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Bob van Luijt, the CEO &amp; Co-Founder at Weaviate. During the episode, Bob discusses the technical and business aspects of vector databases, delving into their differences from other types of databases and the opportunities they present. Bob shares his journey and how his love for music relates to his work in machine learning. The conversation also covers the progression of database complexity and the emergence of databases designed for specific data types, limitations of existing databases for vector processing, the importance of simplicity and user-friendliness in the user experience, generative feedback loops, and more.</itunes:subtitle>
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      <pubDate>Mon, 9 Oct 2023 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Nick’s background and journey in data (2:28)</li><li>Founding Dagster Labs (7:50)</li><li>The evolution of data engineering (12:32)</li><li>Fragmentation in data infrastructure (15:04)</li><li>The role of orchestration in data platforms (19:53)</li><li>The importance of operational tools for data pipelines (25:01)</li><li>Lessons learned from working with GraphQL (26:19)</li><li>The role of the orchestrator in data engineering (34:51)</li><li>The boundaries between data infrastructure and product engineering (37:33)</li><li>Different orchestrators in the data infrastructure landscape(42:03)</li><li>The role of MLOps in data engineering (46:04)</li><li>Data Quality and Orchestration (51:04)</li><li>Future of Data Teams and Orchestration (54:27)</li><li>Final thoughts and takeaways from (58:01)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 4 Oct 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Nick’s background and journey in data (2:28)</li><li>Founding Dagster Labs (7:50)</li><li>The evolution of data engineering (12:32)</li><li>Fragmentation in data infrastructure (15:04)</li><li>The role of orchestration in data platforms (19:53)</li><li>The importance of operational tools for data pipelines (25:01)</li><li>Lessons learned from working with GraphQL (26:19)</li><li>The role of the orchestrator in data engineering (34:51)</li><li>The boundaries between data infrastructure and product engineering (37:33)</li><li>Different orchestrators in the data infrastructure landscape(42:03)</li><li>The role of MLOps in data engineering (46:04)</li><li>Data Quality and Orchestration (51:04)</li><li>Future of Data Teams and Orchestration (54:27)</li><li>Final thoughts and takeaways from (58:01)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <pubDate>Wed, 27 Sep 2023 08:30:00 +0000</pubDate>
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      <pubDate>Wed, 20 Sep 2023 08:30:00 +0000</pubDate>
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      <pubDate>Wed, 13 Sep 2023 08:30:00 +0000</pubDate>
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      <pubDate>Wed, 6 Sep 2023 08:30:00 +0000</pubDate>
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      <itunes:title>154: Making Cross-Company Data Exchange Easy with Pardis Noorzad of General Folders</itunes:title>
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      <pubDate>Wed, 30 Aug 2023 08:30:00 +0000</pubDate>
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      <itunes:title>153: The Future of Data Science Notebooks with Jakub Jurových of Deepnote</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ken’s background and journey to Heap (2:32)</li><li>Heap’s problem-solving approach (8:19)</li><li>Auto-capture and its significance in the marketplace (13:03)</li><li>Providing qualitative context: sessions and surveys (16:23)</li><li>Collection and storage of data (25:42) </li><li>Challenges of real-time data collection (26:40)</li><li>The true gap in the market today (37:39)</li><li>Consolidation and aggregation of data solutions (41:58)</li><li>Simplifying the data stack (47:32)</li><li>A different approach in engineering and software development (51:12)</li><li>Skills and Stages in Company Growth (55:58)</li><li>Final thoughts and takeaways (1:02:52)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p><strong>RudderStack</strong> helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ken’s background and journey to Heap (2:32)</li><li>Heap’s problem-solving approach (8:19)</li><li>Auto-capture and its significance in the marketplace (13:03)</li><li>Providing qualitative context: sessions and surveys (16:23)</li><li>Collection and storage of data (25:42) </li><li>Challenges of real-time data collection (26:40)</li><li>The true gap in the market today (37:39)</li><li>Consolidation and aggregation of data solutions (41:58)</li><li>Simplifying the data stack (47:32)</li><li>A different approach in engineering and software development (51:12)</li><li>Skills and Stages in Company Growth (55:58)</li><li>Final thoughts and takeaways (1:02:52)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p><strong>RudderStack</strong> helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The need for reverse ETL in marketing (2:24)</li><li>Closing the gap between engineering, data, and marketing teams (8:37)</li><li>The analytics persona’s opportunity (11:53)</li><li>Interface layer (13:06)</li><li>Approach to messy warehouse data (15:57)</li><li>The need for a complicated infrastructure (28:43)</li><li>Challenges in data integration for marketers (29:26)</li><li>The evolution of the analytics stack (31:53)</li><li>Orchestration of the data warehouse (38:39)</li><li>The role of marketing tools (40:35)</li><li>Generating custom assets (46:27)</li><li>The shift towards making data processes easier (48:13)</li><li>Final thoughts and takeaways (49:23)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p><strong>RudderStack</strong> helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 16 Aug 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The need for reverse ETL in marketing (2:24)</li><li>Closing the gap between engineering, data, and marketing teams (8:37)</li><li>The analytics persona’s opportunity (11:53)</li><li>Interface layer (13:06)</li><li>Approach to messy warehouse data (15:57)</li><li>The need for a complicated infrastructure (28:43)</li><li>Challenges in data integration for marketers (29:26)</li><li>The evolution of the analytics stack (31:53)</li><li>Orchestration of the data warehouse (38:39)</li><li>The role of marketing tools (40:35)</li><li>Generating custom assets (46:27)</li><li>The shift towards making data processes easier (48:13)</li><li>Final thoughts and takeaways (49:23)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p><strong>RudderStack</strong> helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <pubDate>Mon, 14 Aug 2023 12:10:58 +0000</pubDate>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Matteo Pelati and Vivek Gudapuri, Co-Founders of Dozer, a company that helps users turn various data sources into APIs for real-time data access. During the conversation, the group discusses the problems that led to the creation of Dozer and how it bridges the gap between data engineering and application engineering. Topics also include the components and workflow of Dozer, its handling of schema changes, working with event streams, use cases, the importance of reliability and observability in Dozer&apos;s data-to-API solution, and more.</itunes:subtitle>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Stefan’s background in data (2:39)</li><li>What is DAGWorks? (3:55)</li><li>How building point solutions influenced Stefan’s journey (5:03)</li><li>Solving the tooling problems of self-service at an organization (11:44)</li><li>Creating Hamilton (15:53)</li><li>How Hamilton works with definitions and time-series data (19:34)</li><li>What makes Hamilton an ML-oriented framework? (23:39)</li><li>Navigating the differences between ML teams and other data teams (26:27)</li><li>Understanding the fundamentals of Hamilton (28:25)</li><li>Dealing with types and conflicts in programming (33:18)</li><li>How Hamilton helps improve pipelines and maintaining data (37:11)</li><li>Why unit testing is important for a data scientist (44:54)</li><li>The ups and downs of founding building a data solution (46:32)</li><li>Connecting with DAGWorks and trying out Hamilton (50:01)</li><li>Final thoughts and takeaways (52:46)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <itunes:title>142: Martech’s Separation and Return to Data Infrastructure with Scott Brinker of HubSpot</itunes:title>
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      <pubDate>Wed, 7 Jun 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ioannis’ background and journey in data (2:42)</li><li>Rudderstack’s transformations feature and examples of its application (4:20)</li><li>Winning the transformations contest at Rudderstack (7:21)</li><li>How Ioannis’ transformation project works for data governance (9:40)</li><li>Memories from college for Ioannis and Kostas (12:30)</li><li>Getting into the world of software development (17:27)</li><li>The changes in data and engineering over the years (20:29)</li><li>Bridging java with python (23:15)</li><li>Dealing with ML workloads in the past vs. workflows of today (26:30)</li><li>Data engineers and ML engineers (33:12)</li><li>Dealing with data in the early stages to ensure reliability later on (38:39)</li><li>What creates problems with data quality? (42:11)</li><li>Exciting developments in data engineering (46:48)</li><li>Final thoughts and takeaways (51:12)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>141: A Journey From Backend Engineer to Data Engineer with Ioannis Foukarakis of Mattermost</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Ioannis Foukarakis, Senior Data Engineer at Mattermost and recent winner of Rudderstack’s transformations challenge. During the episode, Ioannis discusses data engineering, ML, and the influence of software engineering on data. Topics also include stories from Ioannis and Kostas’ college days, how data and engineering have changed over the years, future developments and exciting opportunities in the space, and more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Ioannis Foukarakis, Senior Data Engineer at Mattermost and recent winner of Rudderstack’s transformations challenge. During the episode, Ioannis discusses data engineering, ML, and the influence of software engineering on data. Topics also include stories from Ioannis and Kostas’ college days, how data and engineering have changed over the years, future developments and exciting opportunities in the space, and more.</itunes:subtitle>
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      <itunes:title>The PRQL: The Portability of Engineering Fundamentals with Ioannis Foukarakis of Mattermost</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Davor’s journey from Google and what he was building there (3:32)</li><li>How work in stream processing changed Davor’s journey (5:10)</li><li>Analytical predictive models and infrastructure (9:39)</li><li>How Kaskada serves as a recommendation engine with data (14:05)</li><li>Kaskada’s user experience as an event processing platform (20:06)</li><li>Enhancing typical feature store architecture to achieve better results (23:34)</li><li>What is needed to improve stream and batch processes (27:39)</li><li>Using another syntax instead of SQL (36:44)</li><li>DataStax acquiring Kaskada and what will come from that merger (40:24)</li><li>Operationalizing and democratizing ML (47:54)</li><li>Final thoughts and takeaways (56:04) </li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 31 May 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Davor’s journey from Google and what he was building there (3:32)</li><li>How work in stream processing changed Davor’s journey (5:10)</li><li>Analytical predictive models and infrastructure (9:39)</li><li>How Kaskada serves as a recommendation engine with data (14:05)</li><li>Kaskada’s user experience as an event processing platform (20:06)</li><li>Enhancing typical feature store architecture to achieve better results (23:34)</li><li>What is needed to improve stream and batch processes (27:39)</li><li>Using another syntax instead of SQL (36:44)</li><li>DataStax acquiring Kaskada and what will come from that merger (40:24)</li><li>Operationalizing and democratizing ML (47:54)</li><li>Final thoughts and takeaways (56:04) </li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>140: Stream Processing for Machine Learning with Davor Bonaci of DataStax</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Davor Bonaci, the Executive VP at DataStax. During the episode, Davor discusses his journey in working stream processing at Goggle and his journey in founding Kaskada. The conversation also includes discussion on recommendation engines, how to improve stream and batch processing, what Kaskada is doing to solve key pain points in the space, democratizing and operationalizing ML, and more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Davor Bonaci, the Executive VP at DataStax. During the episode, Davor discusses his journey in working stream processing at Goggle and his journey in founding Kaskada. The conversation also includes discussion on recommendation engines, how to improve stream and batch processing, what Kaskada is doing to solve key pain points in the space, democratizing and operationalizing ML, and more.</itunes:subtitle>
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      <pubDate>Mon, 29 May 2023 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Aditya’s background and journey in the data space (2:47)</li><li>What does Ponder do? (5:18)</li><li>101 on Pandas and why people utilize it (6:42)</li><li>The challenge of translating Pandas to a big data platform (16:11)</li><li>Data Warehouses and ML workflows (21:27)</li><li>The differences in the “zoo” of data languages (26:56)</li><li>Why do ML and data engineering have to be so different in languages? (34:39)</li><li>Builders should be adapting to the users and not the other way around (39:32)</li><li>Will we see a singular data interface in the future? (46:19)</li><li>Aditya’s most surprising discovery in his research (50:40)</li><li>Final thoughts and takeaways (53:18)</li></ul><p>Read more of Aditya's work: </p><ul><li><a href="https://ponder.io/pandas-vs-sql-food-court-michelin-style-restaurant/">Pandas vs. SQL – Part 1: The Food Court and the Michelin-Style Restaurant</a></li><li><a href="https://ponder.io/pandas-vs-sql-part-2-pandas-is-more-concise/">Pandas vs. SQL – Part 2: Pandas Is More Concise</a></li><li><a href="https://ponder.io/pandas-vs-sql-part-3-pandas-is-more-flexible/">Pandas vs. SQL – Part 3: Pandas Is More Flexible</a></li><li><a href="https://ponder.io/pandas-vs-sql-part-4-pandas-is-more-convenient/">Pandas vs. SQL – Part 4: Pandas Is More Convenient</a></li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 24 May 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Aditya’s background and journey in the data space (2:47)</li><li>What does Ponder do? (5:18)</li><li>101 on Pandas and why people utilize it (6:42)</li><li>The challenge of translating Pandas to a big data platform (16:11)</li><li>Data Warehouses and ML workflows (21:27)</li><li>The differences in the “zoo” of data languages (26:56)</li><li>Why do ML and data engineering have to be so different in languages? (34:39)</li><li>Builders should be adapting to the users and not the other way around (39:32)</li><li>Will we see a singular data interface in the future? (46:19)</li><li>Aditya’s most surprising discovery in his research (50:40)</li><li>Final thoughts and takeaways (53:18)</li></ul><p>Read more of Aditya's work: </p><ul><li><a href="https://ponder.io/pandas-vs-sql-food-court-michelin-style-restaurant/">Pandas vs. SQL – Part 1: The Food Court and the Michelin-Style Restaurant</a></li><li><a href="https://ponder.io/pandas-vs-sql-part-2-pandas-is-more-concise/">Pandas vs. SQL – Part 2: Pandas Is More Concise</a></li><li><a href="https://ponder.io/pandas-vs-sql-part-3-pandas-is-more-flexible/">Pandas vs. SQL – Part 3: Pandas Is More Flexible</a></li><li><a href="https://ponder.io/pandas-vs-sql-part-4-pandas-is-more-convenient/">Pandas vs. SQL – Part 4: Pandas Is More Convenient</a></li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>139: Decoupling the Execution Engine From Python’s Pandas with Aditya Parameswaran of Ponder</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Aditya Parameswaran, Associate Professor at UC Berkeley &amp; Co-Founder of Ponder. During the episode, Aditya discusses the zoo of data languages including a 101 on Pandas, why builders should be adapting to users, exploring what Ponder is solving in the data space, interesting theories on the way things should operate in the industry, and more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Aditya Parameswaran, Associate Professor at UC Berkeley &amp; Co-Founder of Ponder. During the episode, Aditya discusses the zoo of data languages including a 101 on Pandas, why builders should be adapting to users, exploring what Ponder is solving in the data space, interesting theories on the way things should operate in the industry, and more.</itunes:subtitle>
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      <pubDate>Mon, 22 May 2023 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>A.J.’s background and journey in data (2:23)</li><li>Challenges with Hadoop ecosystem (8:50)</li><li>Starting InfinyOn and the need for innovation (10:02)</li><li>Challenges with Kafka and Microservices (14:01)</li><li>Real-time data streaming for IoT devices (19:28)</li><li>Paradigm shift to real-time data processing (22:17)</li><li>Benefits of Rust (29:45)</li><li>Web Assembly and Platform Features (36:29)</li><li>Analytics and Event Correlation (40:16)</li><li>Real-time data processing (47:03)</li><li>ETL vs ELP (52:20)</li><li>Final thoughts and takeaways (57:07)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 17 May 2023 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>A.J.’s background and journey in data (2:23)</li><li>Challenges with Hadoop ecosystem (8:50)</li><li>Starting InfinyOn and the need for innovation (10:02)</li><li>Challenges with Kafka and Microservices (14:01)</li><li>Real-time data streaming for IoT devices (19:28)</li><li>Paradigm shift to real-time data processing (22:17)</li><li>Benefits of Rust (29:45)</li><li>Web Assembly and Platform Features (36:29)</li><li>Analytics and Event Correlation (40:16)</li><li>Real-time data processing (47:03)</li><li>ETL vs ELP (52:20)</li><li>Final thoughts and takeaways (57:07)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>138: Paradigm Shift: Batch to Data Streaming with A.J. Hunyady of InfinyOn</itunes:title>
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      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with A.J. Hunyady, Founder and CEO of InfinyOn. During the episode, A.J talks about his experience with Hadoop and the challenges he faced with getting data out of the ecosystem. He also discusses the need for innovation in the data industry, real-time data, streaming, IoT, the benefits of Rust, and more.</itunes:subtitle>
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      <pubDate>Wed, 10 May 2023 08:30:00 +0000</pubDate>
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      <pubDate>Wed, 3 May 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Dhruba’s journey into the data space (2:02)</li><li>The impact of Hadoop on the industry (3:37)</li><li>Dhruba’s work in the early days of the Facebook team (7:54)</li><li>Building and implementing RocksDB (14:33)</li><li>Stories with Mark Zuckerberg at Facebook (24:25)</li><li>The next evolution in storage hardware (26:14)</li><li>How Rockset is different from other real-time platforms (33:13)</li><li>Going from a key value store to an index (37:15)</li><li>Where does Rockset go from here? (44:59)</li><li>The success of RocksDB as an open source project (49:11)</li><li>How do we properly steward real-time technology for impact (51:17)</li><li>Final thoughts and takeaways (56:18)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <pubDate>Mon, 1 May 2023 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The origin story of Data Council (0:39)</li><li>Developments for the future of Data Council (2:42)</li><li>The emphasis of AI and ChatGPT at this year’s conference (3:54)</li><li>The support of the data community (5:31)</li><li>Biggest changes and innovations in the industry (7:10)</li><li>What’s next for the Data Council? (10:46)</li><li>Getting connected with Data Council (13:07)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Fri, 28 Apr 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The origin story of Data Council (0:39)</li><li>Developments for the future of Data Council (2:42)</li><li>The emphasis of AI and ChatGPT at this year’s conference (3:54)</li><li>The support of the data community (5:31)</li><li>Biggest changes and innovations in the industry (7:10)</li><li>What’s next for the Data Council? (10:46)</li><li>Getting connected with Data Council (13:07)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Data Council Week (Ep 7) - What’s Next for Data Council? With Pete Soderling of Data Council</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Gunner’s background in data (0:32)</li><li>Setting the vision in early days of Red Hat and spearheading Debezium (6:20)</li><li>Replication of data in Debezium (9:47)</li><li>The patterns and processes of Debezium (16:21)</li><li>Debezium working with Kafka (19:03)</li><li>Building a diverse system while incorporating common interfaces (24:09)</li><li>The importance of documentation in open-sourced projects (27:59)</li><li>Debezium’s vision moving forward (31:32)</li><li>Why aren’t there more CDC open-sourced solutions? (34:35)</li><li>Connecting with Gunnar (37:27)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Thu, 27 Apr 2023 08:30:00 +0000</pubDate>
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      <itunes:summary>This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this episode, Brooks and Kostas chat with Gunnar Morling, Senior Staff Software Engineer at Decodable. During the episode, Gunnar talks about his time at Red Hat, including spearheading the Debezium project, a platform for change data capture (CDC). Topics in this conversation include the processes of Debezium, how to build a diverse system while incorporating common interfaces, open-sourced CDC projects, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this episode, Brooks and Kostas chat with Gunnar Morling, Senior Staff Software Engineer at Decodable. During the episode, Gunnar talks about his time at Red Hat, including spearheading the Debezium project, a platform for change data capture (CDC). Topics in this conversation include the processes of Debezium, how to build a diverse system while incorporating common interfaces, open-sourced CDC projects, and more. </itunes:subtitle>
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      <title>Data Council Week (Ep 5) - The Difference Between Data Platforms and ML Platforms with Michael Del Balso of Tecton</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Michael’s journey to co-founding Tecton (0:22)</li><li>The evolution of MLops and platform teams (3:50)</li><li>Understanding boundaries between the data platform and the MLops (8:42)</li><li>Differences in machine learning vs data pipelines (16:58)</li><li>The systems needed to handle all these types of data (22:22)</li><li>Developer experience in Tecton (25:15)</li><li>Automating challenges in ML development (32:30)</li><li>The most difficult part of the life cycle of prediction (37:24)</li><li>Exciting new developments at Tecton (39:27)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 26 Apr 2023 08:45:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Michael’s journey to co-founding Tecton (0:22)</li><li>The evolution of MLops and platform teams (3:50)</li><li>Understanding boundaries between the data platform and the MLops (8:42)</li><li>Differences in machine learning vs data pipelines (16:58)</li><li>The systems needed to handle all these types of data (22:22)</li><li>Developer experience in Tecton (25:15)</li><li>Automating challenges in ML development (32:30)</li><li>The most difficult part of the life cycle of prediction (37:24)</li><li>Exciting new developments at Tecton (39:27)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Data Council Week (Ep 5) - The Difference Between Data Platforms and ML Platforms with Michael Del Balso of Tecton</itunes:title>
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      <itunes:duration>00:43:00</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this episode, Brooks and Kostas chat with Michael Del Balso, Co-Founder and CEO of Tecton. During the episode, Michael talks about the company’s desire to provide customers the best feature engineering experience in the world. Topics in the conversation include MLops and data platforms, machine learning vs. data pipelines, the most difficult part in the life cycle of prediction, and more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this episode, Brooks and Kostas chat with Michael Del Balso, Co-Founder and CEO of Tecton. During the episode, Michael talks about the company’s desire to provide customers the best feature engineering experience in the world. Topics in the conversation include MLops and data platforms, machine learning vs. data pipelines, the most difficult part in the life cycle of prediction, and more.</itunes:subtitle>
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      <title>Data Council Week (Ep 4) - Using Data Anonymization for Identity Protection With Will Thompson of Privacy Dynamics</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Will’s background in data (0:28)</li><li>Privacy dynamics and data anonymization (4:18)</li><li>Addressing data privacy problems in the space (10:33)</li><li>Developer experience with Privacy Dynamics (13:49)</li><li>How does Privacy Dynamics work? (21:09)</li><li>Update of real-time anonymized data (26:29)</li><li>The problem of dates and other complexities in data (31:24)</li><li>Being a data engineer in a startup (34:44)</li><li>Moving at the speed of a startup (41:01)</li><li>Connecting with Will and Privacy Dynamics (43:28)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 26 Apr 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Will’s background in data (0:28)</li><li>Privacy dynamics and data anonymization (4:18)</li><li>Addressing data privacy problems in the space (10:33)</li><li>Developer experience with Privacy Dynamics (13:49)</li><li>How does Privacy Dynamics work? (21:09)</li><li>Update of real-time anonymized data (26:29)</li><li>The problem of dates and other complexities in data (31:24)</li><li>Being a data engineer in a startup (34:44)</li><li>Moving at the speed of a startup (41:01)</li><li>Connecting with Will and Privacy Dynamics (43:28)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Data Council Week (Ep 4) - Using Data Anonymization for Identity Protection With Will Thompson of Privacy Dynamics</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this episode, Brooks and Kostas chat with Will Thompson, the Director of Engineering at Privacy Dynamics. During the episode, Will talks about all things data anonymization and privacy. The conversation includes the challenges of data privacy and other complexities in data, the journey of being an engineer in a startup, how Privacy Dynamics is solving problems in the space, and more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this episode, Brooks and Kostas chat with Will Thompson, the Director of Engineering at Privacy Dynamics. During the episode, Will talks about all things data anonymization and privacy. The conversation includes the challenges of data privacy and other complexities in data, the journey of being an engineer in a startup, how Privacy Dynamics is solving problems in the space, and more.</itunes:subtitle>
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      <title>Data Council Week (Ep 3) - GTM 101 for Engineers With Chase Roberts of Vertex Ventures</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Chase’s journey to where he is today (0:51)</li><li>Lessons in go-to-market roles which helps in the VC world (2:38)</li><li>Differentiating between go-to-market and distribution (8:13)</li><li>Taking an idea to the market (11:33)</li><li>Hardest part of the pitch (17:08)</li><li>Playbooks for go-to-market founders to follow (20:25)</li><li>Focus of sales and marketing in go-to-market strategy (28:01)</li><li>Answering the what and how of the problem you are solving (32:30)</li><li>The importance of pricing in a go-to-market strategy (46:11)</li><li>Connecting with Chase (1:00:58)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Tue, 25 Apr 2023 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Chase’s journey to where he is today (0:51)</li><li>Lessons in go-to-market roles which helps in the VC world (2:38)</li><li>Differentiating between go-to-market and distribution (8:13)</li><li>Taking an idea to the market (11:33)</li><li>Hardest part of the pitch (17:08)</li><li>Playbooks for go-to-market founders to follow (20:25)</li><li>Focus of sales and marketing in go-to-market strategy (28:01)</li><li>Answering the what and how of the problem you are solving (32:30)</li><li>The importance of pricing in a go-to-market strategy (46:11)</li><li>Connecting with Chase (1:00:58)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Data Council Week (Ep 3) - GTM 101 for Engineers With Chase Roberts of Vertex Ventures</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this episode, Brooks and Kostas chat with Chase Roberts, Principal VC investor at Vertex Ventures. During the conversation, Chase talks about go-to-market strategies for founders. Topics include taking the idea to market, the hardest part of the pitch, answering the what and how of the problem you are solving, how to price your product, and more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this episode, Brooks and Kostas chat with Chase Roberts, Principal VC investor at Vertex Ventures. During the conversation, Chase talks about go-to-market strategies for founders. Topics include taking the idea to market, the hardest part of the pitch, answering the what and how of the problem you are solving, how to price your product, and more.</itunes:subtitle>
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      <title>Data Council Week (Ep 2) - The Convergence of MLops and DataOps With Team Featureform</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Introducing the team from Featureform (0:31)</li><li>In the work vs. leading the work (3:01)</li><li>Difference between MLOps and data ops (7:06)</li><li>The MLOps cycle (10:12)</li><li>What is Featureform and what makes it different? (13:30)</li><li>Is there another layer needed in feature stores? (18:46)</li><li>Getting in touch with Featureform (23:55)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Mon, 24 Apr 2023 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Introducing the team from Featureform (0:31)</li><li>In the work vs. leading the work (3:01)</li><li>Difference between MLOps and data ops (7:06)</li><li>The MLOps cycle (10:12)</li><li>What is Featureform and what makes it different? (13:30)</li><li>Is there another layer needed in feature stores? (18:46)</li><li>Getting in touch with Featureform (23:55)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Data Council Week (Ep 2) - The Convergence of MLops and DataOps With Team Featureform</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this episode, Brooks and Kostas chat with Simba Khadder, Mikiko Bazeley, &amp; Shabnam Mokhtarani, three members of the leadership team at Featureform. During the episode, the group discusses the differences in MLops and data ops, what makes Featureform different from other feature stores, learnings from leading the work versus being in the work, and more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this episode, Brooks and Kostas chat with Simba Khadder, Mikiko Bazeley, &amp; Shabnam Mokhtarani, three members of the leadership team at Featureform. During the episode, the group discusses the differences in MLops and data ops, what makes Featureform different from other feature stores, learnings from leading the work versus being in the work, and more.</itunes:subtitle>
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      <title>Data Council Week (Ep 1) - The Evolution of Stream Processing With Eric Sammer of Decodable</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Eric’s journey to becoming CEO of Decoable (0:20)</li><li>Does real time matter? (2:12)</li><li>Differences in stream processing systems (7:57)</li><li>Processing in motion (13:04)</li><li>Why haven’t there been more open source projects around CDC? (20:34)</li><li>The Decodable experience and future focuses for the company (24:31)</li><li>Streaming processing and data lakes (32:54)</li><li>Data flow processing technologies of today (39:01)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Sun, 23 Apr 2023 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Eric’s journey to becoming CEO of Decoable (0:20)</li><li>Does real time matter? (2:12)</li><li>Differences in stream processing systems (7:57)</li><li>Processing in motion (13:04)</li><li>Why haven’t there been more open source projects around CDC? (20:34)</li><li>The Decodable experience and future focuses for the company (24:31)</li><li>Streaming processing and data lakes (32:54)</li><li>Data flow processing technologies of today (39:01)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Data Council Week (Ep 1) - The Evolution of Stream Processing With Eric Sammer of Decodable</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this first interview, Brooks and Kostas chat with Eric Sammer, the Founder and CEO of Decodable. During the episode, the group discusses real-time data, stream processing, the complexities of the modern data stack, exciting announcements at Decodable, and more.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, we have a special edition as we recorded a series of bonus episodes live at Data Council in Austin, Texas. In this first interview, Brooks and Kostas chat with Eric Sammer, the Founder and CEO of Decodable. During the episode, the group discusses real-time data, stream processing, the complexities of the modern data stack, exciting announcements at Decodable, and more.</itunes:subtitle>
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      <pubDate>Wed, 19 Apr 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Origins of OtterTune (4:43)</li><li>The problem of knob tuning (6:25)</li><li>Roles of machine learning (9:32)</li><li>OtterTune’s development and industry recognition (12:03)</li><li>The challenges of database tuning and the role of human expertise (16:15)</li><li>Tuning in production (20:23)</li><li>Observability and Data Collection (23:37)</li><li>Data Security and Privacy (29:59)</li><li>Optimizing on-prem vs. cloud workloads (35:52)</li><li>Performance benchmarks (40:20)</li><li>Future opportunities OtterTune is focusing on (43:55)</li><li>Importance of automated tuning services (50:45)</li><li>Challenges in Benchmarking Real Workloads (58:43)</li><li>The Story Behind the Name OtterTune (1:08:58)</li><li>Balancing Technology and Human Factors (1:13:23)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <pubDate>Mon, 17 Apr 2023 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The journey of H.O. into data and becoming the CEO of FeatureBase (2:37)</li><li>Characteristics of the super evolution in technology (6:36)</li><li>ChatGPT as the missionary of AI (9:45)</li><li>The tension between authenticity and technology (13:12)</li><li>What is FeatureBase? (17:53)</li><li>Comparing FeatureBase to feature stores (25:58)</li><li>Workload capacities and possibilities in FeatureBase (33:20)</li><li>The importance of developer experience on a platform (38:23)</li><li>Exciting developments for FeatureBase in the future (47:13)</li><li>Final thoughts and takeaways (53:52)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 12 Apr 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>The journey of H.O. into data and becoming the CEO of FeatureBase (2:37)</li><li>Characteristics of the super evolution in technology (6:36)</li><li>ChatGPT as the missionary of AI (9:45)</li><li>The tension between authenticity and technology (13:12)</li><li>What is FeatureBase? (17:53)</li><li>Comparing FeatureBase to feature stores (25:58)</li><li>Workload capacities and possibilities in FeatureBase (33:20)</li><li>The importance of developer experience on a platform (38:23)</li><li>Exciting developments for FeatureBase in the future (47:13)</li><li>Final thoughts and takeaways (53:52)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>134: Unpacking the AI Revolution and the Technology Behind A Feature-First Future with H.O. Maycotte of FeatureBase</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Sammy’s background in data and tooling (2:46)</li><li>Going from multipurpose engineering to a CTO position (5:14) </li><li>Changes in technology and deep learning models (7:31)</li><li>The state of self-driving and adoption (13:49)</li><li>What is Eventual and what are they solving in the space? (20:54)</li><li>What are daft and data frame and how they work? (28:11)</li><li>Building a query optimizer (33:42)</li><li>Sammy’s take on what is going on in data and future possibilities (45:18)</li><li>Eventual’s future and its impact on the space (51:44)</li><li>Final thoughts and takeaways (53:47)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 5 Apr 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Sammy’s background in data and tooling (2:46)</li><li>Going from multipurpose engineering to a CTO position (5:14) </li><li>Changes in technology and deep learning models (7:31)</li><li>The state of self-driving and adoption (13:49)</li><li>What is Eventual and what are they solving in the space? (20:54)</li><li>What are daft and data frame and how they work? (28:11)</li><li>Building a query optimizer (33:42)</li><li>Sammy’s take on what is going on in data and future possibilities (45:18)</li><li>Eventual’s future and its impact on the space (51:44)</li><li>Final thoughts and takeaways (53:47)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>133: Building the Data Warehouse for Everything Else with Sammy Sidhu of Eventual</itunes:title>
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      <pubDate>Mon, 3 Apr 2023 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Chad’s background in data (2:10)</li><li>Breaking down data quality (4:02)</li><li>Semantic and logical layers of data (10:04)</li><li>What are data contracts and how do they work? (17:41)</li><li>Implicit contracts at companies (24:01)</li><li>Where do data contracts fit in data infrastructure? (28:14)</li><li>The value of data contracts to the producer and consumer (31:18)</li><li>Tools needed in effective data contracts (46:13)</li><li>The importance of community in data quality (50:53)</li><li>Getting connected to Data Quality Camp (1:00:55)</li><li>Final thoughts and takeaways (1:01:53)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 29 Mar 2023 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Chad’s background in data (2:10)</li><li>Breaking down data quality (4:02)</li><li>Semantic and logical layers of data (10:04)</li><li>What are data contracts and how do they work? (17:41)</li><li>Implicit contracts at companies (24:01)</li><li>Where do data contracts fit in data infrastructure? (28:14)</li><li>The value of data contracts to the producer and consumer (31:18)</li><li>Tools needed in effective data contracts (46:13)</li><li>The importance of community in data quality (50:53)</li><li>Getting connected to Data Quality Camp (1:00:55)</li><li>Final thoughts and takeaways (1:01:53)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Alex’s background working for NSA and starting a company (1:51)</li><li>The Gretel.ai journey (9:30)</li><li>Defining synthetic data (13:26)</li><li>The evolution of AI in deep learning data and language learning (16:28)</li><li>The properties of synthetic data (21:31)</li><li>Boundaries between synthetic data and prediction models (25:52)</li><li>The developer experience in Gretel.ai (36:44)</li><li>Stewardship and expansion of deep learning models in the future (45:36) </li><li>Final thoughts and takeaways (52:17)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <itunes:duration>00:56:34</itunes:duration>
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      <pubDate>Mon, 27 Feb 2023 09:30:00 +0000</pubDate>
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      <pubDate>Wed, 22 Feb 2023 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Alex’s background in the data space (2:41)</li><li>Comics and Pop Culture Blending with Finance training (5:20)</li><li>What is a data lake house? (7:36)</li><li>What is Dremio solving in for users? (11:21)</li><li>Essential components of a data lake house (16:35)</li><li>Difference between on-prem and cloud experiences (33:53)</li><li>What does it mean to be a developer advocate? (41:31)</li><li>Final thoughts and takeaways (49:02)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Spenser’s journey to Co-Founding Amplitude (3:02)</li><li>Looking back over the last decade of success at Amplitude (8:31)</li><li>Going from Engineer to Sales (14:41)</li><li>Comparing product analytics and general analytics (20:11)</li><li>How cloud data warehousing has impacted analytics (31:38)</li><li>Providing an out-of-the-box experience for consumers (41:12)</li><li>Final thoughts and takeaways (54:27)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Jeff’s background at Netflix and Stripe leading him to Abbey Labs (2:22)</li><li>What Abbey is solving in the space (5:16)</li><li>Tackling permissions in an organization (7:30)</li><li>Opportunities to improve the availability of data (10:14)</li><li>The challenge of tackling a new problem area at a new company (14:59)</li><li>What is the most common challenges in the identity and security space (18:43)</li><li>Importance of identity and the ability to track it in data (22:46)</li><li>Connecting all the different platforms without frustrating the user (30:32)</li><li>What are the parts of access data that needing to be tracked (36:10)</li><li>Dealing with the varieties of data in security and managing permissions (40:26)</li><li>Final thoughts and takeaways (51:52)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <itunes:title>124: Pragmatism About Data Stacks with Pedram Navid of West Marin Data</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Pedram Navid, Owner of West Marin Data and frequent contributor to substack. During the episode, Pedram discusses the modern data stack and its complexities, modern tooling, early-stage startups, and more.</itunes:summary>
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      <pubDate>Mon, 30 Jan 2023 09:30:00 +0000</pubDate>
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      <title>123: What Is a Universal Database? Featuring Stavros Papadopoulos of TileDB, Inc.</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Stavros’ journey into data and founding TileDB (3:12)</li><li>What problem was TileDB going to solve? (12:05)</li><li>Defining database systems (21:35)</li><li>What part of database architecture is TileDB? (31:58)</li><li>Storage engine solutions (42:37)</li><li>What does the API look like in using TileDB? (50:40)</li><li>What makes genomics unique in working with data (55:28)</li><li>Final thoughts and takeaways (1:06:46)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 25 Jan 2023 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Stavros’ journey into data and founding TileDB (3:12)</li><li>What problem was TileDB going to solve? (12:05)</li><li>Defining database systems (21:35)</li><li>What part of database architecture is TileDB? (31:58)</li><li>Storage engine solutions (42:37)</li><li>What does the API look like in using TileDB? (50:40)</li><li>What makes genomics unique in working with data (55:28)</li><li>Final thoughts and takeaways (1:06:46)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>123: What Is a Universal Database? Featuring Stavros Papadopoulos of TileDB, Inc.</itunes:title>
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      <pubDate>Mon, 23 Jan 2023 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Joran’s background leading him from accounting to coding (3:10)</li><li>What is Tiger Beetle? (5:53)</li><li>Double-entry accounting and why it is important for a database (12:28)</li><li>The need for low latency and high throughput (26:27)</li><li>Why financial database software needs a laser focus (29:01)</li><li>What are people using to implement a double-entry system? (36:09)</li><li>Safety in financial software and addressing storage faults (40:26)</li><li>Final thoughts and takeaways (55:52)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 18 Jan 2023 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Joran’s background leading him from accounting to coding (3:10)</li><li>What is Tiger Beetle? (5:53)</li><li>Double-entry accounting and why it is important for a database (12:28)</li><li>The need for low latency and high throughput (26:27)</li><li>Why financial database software needs a laser focus (29:01)</li><li>What are people using to implement a double-entry system? (36:09)</li><li>Safety in financial software and addressing storage faults (40:26)</li><li>Final thoughts and takeaways (55:52)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>122: Why Accounting Needs Its Own Database with Joran Greef of Tiger Beetle</itunes:title>
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      <pubDate>Mon, 16 Jan 2023 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Defining data flow (2:31)</li><li>Are there limitations in timely data flow operation and/or building operators? (8:20)</li><li>Areas of incremental computation that are having an impact today (17:10)</li><li>Building a library vs building a product (24:06)</li><li>Combining delight and empathy into a focus (27:52)</li><li>Final thoughts and takeaways (32:42)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 11 Jan 2023 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Defining data flow (2:31)</li><li>Are there limitations in timely data flow operation and/or building operators? (8:20)</li><li>Areas of incremental computation that are having an impact today (17:10)</li><li>Building a library vs building a product (24:06)</li><li>Combining delight and empathy into a focus (27:52)</li><li>Final thoughts and takeaways (32:42)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>121: Materialize Origins: Breaking Down Data Flow Layers with Arjun Narayan and Frank McSherry</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas welcome back Arjun Narayan and Frank McSherry, Co-Founders of Materialize, for part two of this great conversation. During the episode, Arjun and Frank dig into the technical details of Materialize including data flow, what it takes to build a model for users to interact with, incremental computation, and more. </itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas welcome back Arjun Narayan and Frank McSherry, Co-Founders of Materialize, for part two of this great conversation. During the episode, Arjun and Frank dig into the technical details of Materialize including data flow, what it takes to build a model for users to interact with, incremental computation, and more. </itunes:subtitle>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>What is Materialize? (2:43)</li><li>Frank and Arjun’s journey in data and what led them to the idea of Materialize (6:22)</li><li>The good and the bad of research in academia vs starting a company (25:20)</li><li>The MVP for databases (33:49)</li><li>Materialize’s end-to-end benefit for the user experience (43:03)</li><li>Interchanging Materialize in warehouse and cloud data usage (48:25)</li><li>The trade-offs within Materialize (1:00:02) </li><li>Final takeaways and previewing part two of the conversation (1:09:25)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com.</a></p><p>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 4 Jan 2023 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>What is Materialize? (2:43)</li><li>Frank and Arjun’s journey in data and what led them to the idea of Materialize (6:22)</li><li>The good and the bad of research in academia vs starting a company (25:20)</li><li>The MVP for databases (33:49)</li><li>Materialize’s end-to-end benefit for the user experience (43:03)</li><li>Interchanging Materialize in warehouse and cloud data usage (48:25)</li><li>The trade-offs within Materialize (1:00:02) </li><li>Final takeaways and previewing part two of the conversation (1:09:25)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com.</a></p><p>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <pubDate>Wed, 9 Nov 2022 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Erik’s background and career journey (2:51)</li><li>Managing scale in a rapidly changing environment (6:35)</li><li>The people side of hypergrowth (12:36)</li><li>Coding competitions (17:50)</li><li>Introducing Modal Labs (19:02)</li><li>How Erik got into building Modal (21:45)</li><li>The employee experience at Modal (28:09)</li><li>How a data engineering team would use Modal (31:21)</li><li>What it takes to build a platform like Modal (36:27)</li><li>What makes Modal different (42:49)</li><li>Evolution coming for the data world (45:52)</li><li>Untapped areas in the data world (48:46)</li><li>Spotify playlists (52:03)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com.</a></p><p>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Shinji’s background and career journey (3:35)</li><li>Defining “data discovery” (6:03)</li><li>The best conditions to use Select Star (8:45)</li><li>Where Select Star fits on the data spectrum (13:38)</li><li>Why Select Star is needed (17:35)</li><li>How Select Star uses metadata (21:02)</li><li>Exposing data queries (27:04)</li><li>Composing queries into metadata (33:27)</li><li>Automating BI tools (37:28)</li><li>Limits to data governance (41:39)</li><li>Maintaining economies of scale (48:56)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <pubDate>Wed, 24 Aug 2022 08:30:00 +0000</pubDate>
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      <itunes:title>100: Data Quality Is Relative to Purpose with James Campbell of Superconductive</itunes:title>
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      <pubDate>Wed, 10 Aug 2022 08:30:00 +0000</pubDate>
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      <itunes:title>99: State of the Data Lakehouse with Vinoth Chandar of Apache Hudi</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Eric’s background and career journey (3:30)</li><li>Presenting to people without knowledge of AI (11:04)</li><li>Why math was chosen over AI (19:03)</li><li>From compilers to databases (25:42)</li><li>The contribution of category theory (30:09)</li><li>The Connexus customer experience (37:45)</li><li>The primary user of Connexus (46:33)</li><li>Interacting with 300,000 databases (51:07)</li><li>When Connexus begins to add value (54:02)</li><li>The best way to learn this mathematical approach (55:46)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 3 Aug 2022 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Eric’s background and career journey (3:30)</li><li>Presenting to people without knowledge of AI (11:04)</li><li>Why math was chosen over AI (19:03)</li><li>From compilers to databases (25:42)</li><li>The contribution of category theory (30:09)</li><li>The Connexus customer experience (37:45)</li><li>The primary user of Connexus (46:33)</li><li>Interacting with 300,000 databases (51:07)</li><li>When Connexus begins to add value (54:02)</li><li>The best way to learn this mathematical approach (55:46)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>98: Category Theory and the Mathematical Foundation of the Technologies We Use with Eric Daimler of Conexus</itunes:title>
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      <pubDate>Fri, 29 Jul 2022 16:15:41 +0000</pubDate>
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      <title>97: How To Build an Organization-Empowering Data Team with Emilie Schario of Amplify Partners</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Emilie’s background and career journey (3:00)</li><li>Hypergrowth at GitLab (5:23)</li><li>Being close to the money in data (9:50)</li><li>Big things taken from GitLab to Netlify (13:00)</li><li>Defining “data organization” (17:53)</li><li>The first roles you should hire for (22:06)</li><li>Defining “analytics engineer” (23:44)</li><li>One role to bridge different needs (27:26)</li><li>Why data analysts are needed (30:51)</li><li>How to avoid a kitchen sink of data (40:20)</li><li>Data engineer archetype (45:48)</li><li>Data roles crossing over (48:09)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 27 Jul 2022 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Emilie’s background and career journey (3:00)</li><li>Hypergrowth at GitLab (5:23)</li><li>Being close to the money in data (9:50)</li><li>Big things taken from GitLab to Netlify (13:00)</li><li>Defining “data organization” (17:53)</li><li>The first roles you should hire for (22:06)</li><li>Defining “analytics engineer” (23:44)</li><li>One role to bridge different needs (27:26)</li><li>Why data analysts are needed (30:51)</li><li>How to avoid a kitchen sink of data (40:20)</li><li>Data engineer archetype (45:48)</li><li>Data roles crossing over (48:09)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>97: How To Build an Organization-Empowering Data Team with Emilie Schario of Amplify Partners</itunes:title>
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      <pubDate>Fri, 22 Jul 2022 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Prateek’s background and career journey (2:10)</li><li>The lack of advanced data tools for the physical world (4:55)</li><li>Dealing with data from the physical world (10:53)</li><li>Stocks in the physical world (14:20)</li><li>What it takes to execute this kind of project (19:05)</li><li>Challenges around this infrastructure (25:56)</li><li>ML tools that are useful in this environment (31:55)</li><li>Physical instrumentation and environmental interaction (36:43)</li><li>Current adoption of physical instrumentation (42:50)</li><li>Data’s responsibility in sustainability (45:56)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 20 Jul 2022 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Prateek’s background and career journey (2:10)</li><li>The lack of advanced data tools for the physical world (4:55)</li><li>Dealing with data from the physical world (10:53)</li><li>Stocks in the physical world (14:20)</li><li>What it takes to execute this kind of project (19:05)</li><li>Challenges around this infrastructure (25:56)</li><li>ML tools that are useful in this environment (31:55)</li><li>Physical instrumentation and environmental interaction (36:43)</li><li>Current adoption of physical instrumentation (42:50)</li><li>Data’s responsibility in sustainability (45:56)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>96: How To Collect and Leverage Data From the Physical World with  Prateek Joshi of Plutoshift</itunes:title>
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      <pubDate>Fri, 15 Jul 2022 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Nick’s background and career journey (2:40)</li><li>What Transform does (5:53)</li><li>Metrics layer vs. metrics store (8:04)</li><li>Signals vs. metrics (13:24)</li><li>The user of a metric layer (14:34)</li><li>Using Transform within an organization (17:05)</li><li>How to fuse two sources into a metric (23:54)</li><li>Currently supported databases (28:46)</li><li>Community engagement (31:33)</li><li>Optimizing for queries, metrics, and use cases (35:33)</li><li>Technology and the human factor (40:49)</li><li>Managing metrics amidst fast-paced change (46:53)</li><li>Out-of-the-box metrics store (49:26)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 13 Jul 2022 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Tejas’ background and career journey (2:49, 43:04)</li><li>Digital collaboration with Netflix Drive (7:57)</li><li>A formal version control component (23:44)</li><li>Centralized store vs. local affairs (31:05)</li><li>The different skill sets a data engineer needs (37:38)</li><li>How to get into data engineering (40:57)</li><li>New technologies coming into day-to-day work (44:39)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>How we should think about batch versus streaming (6:02)</li><li>Defining “streaming ETL” (9:34)</li><li>A brief history of streaming processing platforms (22:07)</li><li>The birth and evolution of Benthos (28:41)</li><li>What led Jeff to build a new tool (34:29)</li><li>Why you shouldn’t share all the data (37:23)</li><li>Making streaming technologies approachable to engineers (42:09)</li><li>Breaking out of traditional terminology (52:58)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>How we should think about batch versus streaming (6:02)</li><li>Defining “streaming ETL” (9:34)</li><li>A brief history of streaming processing platforms (22:07)</li><li>The birth and evolution of Benthos (28:41)</li><li>What led Jeff to build a new tool (34:29)</li><li>Why you shouldn’t share all the data (37:23)</li><li>Making streaming technologies approachable to engineers (42:09)</li><li>Breaking out of traditional terminology (52:58)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>88: What Is Data Observability? With Tristan Spaulding of Acceldata</itunes:title>
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      <pubDate>Wed, 18 May 2022 08:30:00 +0000</pubDate>
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      <pubDate>Fri, 13 May 2022 08:30:00 +0000</pubDate>
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      <pubDate>Wed, 11 May 2022 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>How Gabriel got into data (1:54)</li><li>What Carto is (5:28)</li><li>Location data vs spatial data (6:37)</li><li>Time data vs space data (7:50)</li><li>System supports for spatial data (9:50)</li><li>Explaining “spatial functions” (14:19)</li><li>Who uses Carto and why (15:52)</li><li>What’s coming for Carto (19:15)</li><li>What Gabriel does at Carto (22:22)</li><li>The coolest things Carto’s done (23:52)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>Data Council Week (Ep 5): A Primer on Spatial Data With Gabriel Hidalgo of Carto</itunes:title>
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      <pubDate>Thu, 28 Apr 2022 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pete’s start in data and Data Council (2:01)</li><li>Learning more from failure (6:42)</li><li>Shaping terminology and definitions (9:30)</li><li>What investors look for in data technology (12:43)</li><li>Working as a data engineer (16:32)</li><li>Data Council takeaways (18:16)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <pubDate>Tue, 26 Apr 2022 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ben’s background and career journey (2:13)</li><li>The birth of Great Expectations (5:02)</li><li>Defining software engineering (9:38)</li><li>Adopting open source products (13:04)</li><li>Working in data versus healthcare (18:01)</li><li>What's next for Great Expectations (20:29)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Ben’s career journey (2:55)</li><li>What makes Firebolt different (3:58)</li><li>Firebolt’s data product family (7:37)</li><li>Table engines and Firebolt (10:57)</li><li>Ben’s favorite part of ClickHouse (12:52)</li><li>The experience of building an optimizer (15:19)</li><li>Where Firebolt fits into architecture (17:27)</li><li>Working in the data space: to love and dislike (19:51)</li><li>Coming soon in the near future (24:35)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a></p><p>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <pubDate>Wed, 6 Apr 2022 08:30:00 +0000</pubDate>
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      <pubDate>Wed, 30 Mar 2022 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Panel introductions (2:23)</li><li>What is driving the trend behind Reverse ETL? (5:24)</li><li>The obstacles to building an internal Reverse ETL tool at scale (15:34)</li><li>How to decide system management vs. user flexibility (20:14)</li><li>Why previous products failed in creating this category (29:12)</li><li>Increased demand and democratization of datastack skills via SaaS (42:03)</li><li>Broader applications for Reverse ETL (47:29)</li><li>Limitations of Reverse ETL (55:05)</li><li>How user technical ability affects design and build roadmaps (58:14)</li><li>What do you anticipate comes next for Reverse ETL? (1:02:45)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 23 Mar 2022 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Panel introductions (2:23)</li><li>What is driving the trend behind Reverse ETL? (5:24)</li><li>The obstacles to building an internal Reverse ETL tool at scale (15:34)</li><li>How to decide system management vs. user flexibility (20:14)</li><li>Why previous products failed in creating this category (29:12)</li><li>Increased demand and democratization of datastack skills via SaaS (42:03)</li><li>Broader applications for Reverse ETL (47:29)</li><li>Limitations of Reverse ETL (55:05)</li><li>How user technical ability affects design and build roadmaps (58:14)</li><li>What do you anticipate comes next for Reverse ETL? (1:02:45)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>80: Is Reverse-ETL Just Another Data Pipeline? With Census, Hightouch, &amp; Workato</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Che’s background and career journey (4:23)</li><li>Coherence between hemispheres in the human brain (6:58)</li><li>Raising Airbnb above primitive AB testing technology (8:54)</li><li>Economic thinking in Airbnb’s data science practice (14:24)</li><li>Dealing with multiple pipelines (16:48)</li><li>Eppo’s role in recognizing statistically significant data (20:01)</li><li>Defining “experiment” (23:25)</li><li>Types of experiments (25:57)</li><li>The workflow journey (27:18)</li><li>Dealing with metric silos (34:21)</li><li>Why we still need to innovate today (37:03)</li><li>Where experimentation can be used (39:36)</li><li>How big a sample size should be (43:29)</li><li>How to self-educate to get the maximum value (45:39)</li><li>Bridging the gap between data engineers and data scientists (48:14)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com.</a></p><p>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <pubDate>Fri, 11 Mar 2022 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Sean’s career journey (3:27)</li><li>Optimization and localized testing results (7:49)</li><li>Denying potential access to more data (13:46)</li><li>Other dimensions data has (18:32)</li><li>The other side of capturing events (20:55)</li><li>Data equivalent of API contracts (25:03)</li><li>SDK restrictiveness for developers (27:40)</li><li>How to know if you’re still sending the right data (30:38)</li><li>Debugging that starts in a client of a mobile app (36:08)</li><li>Communicating about data (38:36)</li><li>The next phase of tooling (41:49)</li><li>Advice for aspiring managers (45:21)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a></p><p>. </p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Par’s background and current role (2:48)</li><li>About Talend (6:46)</li><li>Nonlinear pathways to data engineering roles (11:08)</li><li>What a data engineer needs to be successful (17:37)</li><li>Before “data engineer” was a title (27:59)</li><li>Signs you should be a data engineer (32:39)</li><li>Curiosity and data engineering (38:31)</li><li>Defining the modern data stack (45:07)</li><li>How to get a feel for data engineering (52:52)</li></ul><p><i>The Data Stack Show</i> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Douwe’s career journey (3:04)</li><li>The missing piece in GitLab’s data tooling (7:35)</li><li>The open-source offering in the data space (12:38)</li><li>Singer’s connection with Meltano (22:31)</li><li>How Meltano manages connectors on a diverse codebase (35:21)</li><li>The data house side of Meltano (39:47)</li><li>Data house operating versus Airflow (44:06)</li><li>Meltano’s vision present today (47:02)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Douwe’s career journey (3:04)</li><li>The missing piece in GitLab’s data tooling (7:35)</li><li>The open-source offering in the data space (12:38)</li><li>Singer’s connection with Meltano (22:31)</li><li>How Meltano manages connectors on a diverse codebase (35:21)</li><li>The data house side of Meltano (39:47)</li><li>Data house operating versus Airflow (44:06)</li><li>Meltano’s vision present today (47:02)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="http://rudderstack.com">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Jimmy’s career background (3:01)</li><li>How to use Data cubes (5:52)</li><li>What Dropbase is and who it is built for (11:01)</li><li>Getting sales and marketing data in usable formats (16:46)</li><li>Ensuring data remains flexible and transferable (28:36)</li><li>Defining what “offline data” is and how to use it (34:09)</li><li>How Dropbase can work with the rest of the data stack (43:30)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Jimmy’s career background (3:01)</li><li>How to use Data cubes (5:52)</li><li>What Dropbase is and who it is built for (11:01)</li><li>Getting sales and marketing data in usable formats (16:46)</li><li>Ensuring data remains flexible and transferable (28:36)</li><li>Defining what “offline data” is and how to use it (34:09)</li><li>How Dropbase can work with the rest of the data stack (43:30)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <pubDate>Fri, 14 Jan 2022 09:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Vinoth’s career background (3:19)</li><li>Building a data lake at Uber (6:52)</li><li>Defining what a data lake is (14:01)</li><li>How data warehouses differ from data lakes (22:46)</li><li>When you should utilize an open source solution in your datastack (37:36)</li><li>Evolving from a data warehouse to a data lake (45:09)</li><li>Early wins Hudi earned inside of Uber (52:30)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 12 Jan 2022 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Vinoth’s career background (3:19)</li><li>Building a data lake at Uber (6:52)</li><li>Defining what a data lake is (14:01)</li><li>How data warehouses differ from data lakes (22:46)</li><li>When you should utilize an open source solution in your datastack (37:36)</li><li>Evolving from a data warehouse to a data lake (45:09)</li><li>Early wins Hudi earned inside of Uber (52:30)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>70: The Difference Between Data Lakes and Data Warehouses with Vinoth Chandar of Apache Hudi</itunes:title>
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      <itunes:summary>​​This week on The Data Stack Show, Eric and Kostas chat with Vinoth Chandar, Creator of the Hudi Project at the Apache Software Foundation. During the episode, Vinosh discusses his experiences building data lakes at companies like LinkedIn, Uber, and Confluent. He also gets into the differences between datalakes and warehouses, and when going open source makes sense.
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      <itunes:subtitle>​​This week on The Data Stack Show, Eric and Kostas chat with Vinoth Chandar, Creator of the Hudi Project at the Apache Software Foundation. During the episode, Vinosh discusses his experiences building data lakes at companies like LinkedIn, Uber, and Confluent. He also gets into the differences between datalakes and warehouses, and when going open source makes sense.
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      <pubDate>Fri, 7 Jan 2022 09:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: What Old Tech Concepts Were Borrowed to Build the Data Lake House?</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Panel introductions and backgrounds (2:55)</li><li>What the modern data stack means to each of our panelists (5:04)</li><li>Defining the fundamental components of a modern data stack (17:22)</li><li>How the modern stack drives insights and actions for businesses (28:03)</li><li>Getting to a uniform definition to the modern stack (33:45)</li><li>Managing the modernization of a large scale data stack (39:09)</li><li>How testing works in the dbt context (48:44)</li><li>The relationship between the data warehouse and the data lake (52:25)</li><li>What has us most excited or the future of modern data stacks (56:02)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 5 Jan 2022 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Panel introductions and backgrounds (2:55)</li><li>What the modern data stack means to each of our panelists (5:04)</li><li>Defining the fundamental components of a modern data stack (17:22)</li><li>How the modern stack drives insights and actions for businesses (28:03)</li><li>Getting to a uniform definition to the modern stack (33:45)</li><li>Managing the modernization of a large scale data stack (39:09)</li><li>How testing works in the dbt context (48:44)</li><li>The relationship between the data warehouse and the data lake (52:25)</li><li>What has us most excited or the future of modern data stacks (56:02)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>69: What is the Modern Data Stack?</itunes:title>
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      <itunes:summary>​​This week on The Data Stack Show, Eric and Kostas hosted a panel of experts from across the business and data landscape including Timothy Chen of Essence VC, Brandon Chen of Fivetran, Paul Boccaccio of Hinge, Jason Pohl of Data Bricks, and Amy Deora of dbt Labs. Together the group discusses what defines the modern datastack and how it impacts each of their businesses. </itunes:summary>
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      <pubDate>Fri, 31 Dec 2021 09:30:00 +0000</pubDate>
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      <description><![CDATA[In this episode, Eric and Kostas look back over the great topics and guests from season three of the Data Stack Show. 

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com
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      <pubDate>Wed, 29 Dec 2021 09:30:00 +0000</pubDate>
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      <itunes:title>68: Season Three Recap: Holiday Edition with Eric Dodds and Kostas Pardalis</itunes:title>
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      <itunes:summary>In this episode, Eric and Kostas look back over the great topics and guests from season three of the Data Stack Show. 

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      <itunes:subtitle>In this episode, Eric and Kostas look back over the great topics and guests from season three of the Data Stack Show. 

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

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      <title>67: Now is the Time to Think About Data Quality with Manu Bansal of Lightup Data</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Manu’s career background and describing Lightup (2:31)</li><li>Why traditional tools don’t work for modern data problems (6:04)</li><li>How a data lake differs from a data warehouse (11:35)</li><li>Defining data quality (14:07)</li><li>The business impact of solving and applying data quality (31:36)</li><li>Constructing a healthy financial view on the impact of data (41:09)</li><li>How to work with unstructured data in a meaningful way (47:44)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 22 Dec 2021 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Manu’s career background and describing Lightup (2:31)</li><li>Why traditional tools don’t work for modern data problems (6:04)</li><li>How a data lake differs from a data warehouse (11:35)</li><li>Defining data quality (14:07)</li><li>The business impact of solving and applying data quality (31:36)</li><li>Constructing a healthy financial view on the impact of data (41:09)</li><li>How to work with unstructured data in a meaningful way (47:44)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>67: Now is the Time to Think About Data Quality with Manu Bansal of Lightup Data</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas talked with Manu Bansal, Co-Founder and CEO of Lightup Data. During the episode, Manu helps to define data quality, explains how to design tests for quality, and describes what Lightup is doing to help businesses build solutions to test and use your data.</itunes:summary>
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      <pubDate>Tue, 21 Dec 2021 09:30:00 +0000</pubDate>
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      <title>66: How Data Infrastructure Has Evolved and Managing High Performing Data Teams with Srivatsan Sridharan</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Starting his career on the first-ever data team at Yelp (2:00)</li><li>How to approach the adoption of new technology (7:04)</li><li>When to use stream processing vs. batching (11:35)</li><li>What is a pipeline and why is it core to a data engineer? (14:07)</li><li>Where a new data scientist should begin their career (19:14)</li><li>The key factors impacting a new technology decision (27:09)</li><li>Managing team emotions in decision making (34:25)</li><li>The unique challenge of Fintech vs other consumer industries (45:03)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 15 Dec 2021 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Starting his career on the first-ever data team at Yelp (2:00)</li><li>How to approach the adoption of new technology (7:04)</li><li>When to use stream processing vs. batching (11:35)</li><li>What is a pipeline and why is it core to a data engineer? (14:07)</li><li>Where a new data scientist should begin their career (19:14)</li><li>The key factors impacting a new technology decision (27:09)</li><li>Managing team emotions in decision making (34:25)</li><li>The unique challenge of Fintech vs other consumer industries (45:03)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>66: How Data Infrastructure Has Evolved and Managing High Performing Data Teams with Srivatsan Sridharan</itunes:title>
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      <itunes:summary>​​This week on The Data Stack Show, Eric and Kostas talked with Srivatsan Sridharan,  Head of Data Infrastructure at Robinhood. During the episode, Srivatsan discusses his experience helping to build a data team at Yelp, how organizations have evolved their view of data engineering over the years, and how organizations have evolved their view of data engineering.</itunes:summary>
      <itunes:subtitle>​​This week on The Data Stack Show, Eric and Kostas talked with Srivatsan Sridharan,  Head of Data Infrastructure at Robinhood. During the episode, Srivatsan discusses his experience helping to build a data team at Yelp, how organizations have evolved their view of data engineering over the years, and how organizations have evolved their view of data engineering.</itunes:subtitle>
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      <description><![CDATA[On the PRQL this week, Eric and Kostas bring in some of the Rudderstack engineering team to discuss data pipelines and preview episode 66 of the Data Stack Show.  Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com
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      <pubDate>Fri, 10 Dec 2021 09:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: How Would You Define a Data Pipeline? Featuring the RudderStack Eng. Team</itunes:title>
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      <itunes:summary>On the PRQL this week, Eric and Kostas bring in some of the Rudderstack engineering team to discuss data pipelines and preview episode 66 of the Data Stack Show. </itunes:summary>
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      <title>65: Operationalizing Data from the Warehouse With Aayush Jain of Cliff.ai</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Aayush’s career background (4:13)</li><li>How his biological sciences academic training impacts his work (8:04)</li><li>How do we allow dashboards to get messy? (9:35)</li><li>Building cultural or technical solutions to effective dashboards (15:19)</li><li>Using data dashboards to make material business improvements (23:19)</li><li>What is business observability? (32:23)</li><li>Building a platform for operations teams (43:15)</li><li>How important community is to the cliff.ai business proposition (41:03)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 8 Dec 2021 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Aayush’s career background (4:13)</li><li>How his biological sciences academic training impacts his work (8:04)</li><li>How do we allow dashboards to get messy? (9:35)</li><li>Building cultural or technical solutions to effective dashboards (15:19)</li><li>Using data dashboards to make material business improvements (23:19)</li><li>What is business observability? (32:23)</li><li>Building a platform for operations teams (43:15)</li><li>How important community is to the cliff.ai business proposition (41:03)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>65: Operationalizing Data from the Warehouse With Aayush Jain of Cliff.ai</itunes:title>
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      <itunes:summary>​​This week on The Data Stack Show, Eric and Kostas talked with Aayush Jain CEO and CTO (Chief Twitter Officer) at Cliff.ai. Cliff.ai is the latest of Aayush’s startup ventures that is focused on “business observability”. During the episode, Aayush discusses what they’re building at Cliff, how community building has impacted the company, and how his academic background formed his current work.</itunes:summary>
      <itunes:subtitle>​​This week on The Data Stack Show, Eric and Kostas talked with Aayush Jain CEO and CTO (Chief Twitter Officer) at Cliff.ai. Cliff.ai is the latest of Aayush’s startup ventures that is focused on “business observability”. During the episode, Aayush discusses what they’re building at Cliff, how community building has impacted the company, and how his academic background formed his current work.</itunes:subtitle>
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      <description><![CDATA[In this show PRQL, Eric and Kostas talk about the evolution of the role of a data engineer and preview the conversation with Aayush Jain.  Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com
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      <pubDate>Fri, 3 Dec 2021 09:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Why is the Data Engineer&apos;s Role Expanding?</itunes:title>
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      <itunes:duration>00:09:46</itunes:duration>
      <itunes:summary>In this show PRQL, Eric and Kostas talk about the evolution of the role of a data engineer and preview the conversation with Aayush Jain. </itunes:summary>
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      <title>64: Data Stack Composability and Commoditization with Michel Tricot of Airbyte</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Announcement: Data Stack Live! (1:00)</li><li>Michel’s career background (4:13)</li><li>Solving the technical and process challenges of moving data (7:04)</li><li>Lessons learned from managing data at Live Ramp (9:35)</li><li>How to build a modern data stack (16:19)</li><li>Triggers to signal when more data infrastructure is needed (23:19)</li><li>Why Airbyte is an open-source product (30:23)</li><li>Airbyte’s role in providing support to open-source problems (38:15)</li><li>How important DPT is for the Airbyte protocol and platform (41:03)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 1 Dec 2021 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Announcement: Data Stack Live! (1:00)</li><li>Michel’s career background (4:13)</li><li>Solving the technical and process challenges of moving data (7:04)</li><li>Lessons learned from managing data at Live Ramp (9:35)</li><li>How to build a modern data stack (16:19)</li><li>Triggers to signal when more data infrastructure is needed (23:19)</li><li>Why Airbyte is an open-source product (30:23)</li><li>Airbyte’s role in providing support to open-source problems (38:15)</li><li>How important DPT is for the Airbyte protocol and platform (41:03)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>64: Data Stack Composability and Commoditization with Michel Tricot of Airbyte</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>00:55:37</itunes:duration>
      <itunes:summary>​​This week on The Data Stack Show, Eric and Kostas talked with Michel Tricot, Co-Founder of Airbyte. Michel and team are building the new open-source ELT standard for replicating data from applications, APIs &amp; databases. During the episode, the trio discuss Michel’s career arc, what size of company requires more infrastructure, and why Airbyte is open-source. </itunes:summary>
      <itunes:subtitle>​​This week on The Data Stack Show, Eric and Kostas talked with Michel Tricot, Co-Founder of Airbyte. Michel and team are building the new open-source ELT standard for replicating data from applications, APIs &amp; databases. During the episode, the trio discuss Michel’s career arc, what size of company requires more infrastructure, and why Airbyte is open-source. </itunes:subtitle>
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for information about our collection and use of personal data for
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]]></description>
      <pubDate>Fri, 26 Nov 2021 09:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: The Beauty of Commoditization</itunes:title>
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      <itunes:summary>For this week&apos;s PRQL, Eric and Kostas preview their upcoming episode with Michel Tricot.</itunes:summary>
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      <title>63: The ETL - ELT Flip With Ciaran Dynes of Matillion</title>
      <description><![CDATA[On this week’s episode of The Data Stack Show, Eric and Kostas have a conversation with Ciaran Dynes, the Chief Product Officer at Matillion, a powerful and easy-to-use, completely cloud-capable ETL/ELT solution. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com
for information about our collection and use of personal data for
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      <pubDate>Wed, 24 Nov 2021 10:00:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <itunes:title>63: The ETL - ELT Flip With Ciaran Dynes of Matillion</itunes:title>
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      <itunes:duration>00:56:05</itunes:duration>
      <itunes:summary>On this week’s episode of The Data Stack Show, Eric and Kostas have a conversation with Ciaran Dynes, the Chief Product Officer at Matillion, a powerful and easy-to-use, completely cloud-capable ETL/ELT solution.</itunes:summary>
      <itunes:subtitle>On this week’s episode of The Data Stack Show, Eric and Kostas have a conversation with Ciaran Dynes, the Chief Product Officer at Matillion, a powerful and easy-to-use, completely cloud-capable ETL/ELT solution.</itunes:subtitle>
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      <title>The PRQL: What Part of the Data Stack Will Be Commoditized Next?</title>
      <description><![CDATA[On this week's PRQL, Kostas and Eric preview their upcoming conversation with Ciaran Dynes of Matillion.  Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com
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advertising.
]]></description>
      <pubDate>Fri, 19 Nov 2021 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <itunes:title>The PRQL: What Part of the Data Stack Will Be Commoditized Next?</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:duration>00:06:47</itunes:duration>
      <itunes:summary>On this week&apos;s PRQL, Kostas and Eric preview their upcoming conversation with Ciaran Dynes of Matillion. </itunes:summary>
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      <title>62: The Internet of Everything with Rob Rastovich of ThingLogix</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Rob’s career began as an early adopter in internet marketing and then he got the bug for machine-to-machine IoT (2:47)</li><li>Making assumptions about mass scale (8:44)</li><li>Pervasiveness of IoT in the market (11:47)</li><li>Initial reactions to technological advances that we take for granted today (17:28)</li><li>What makes IoT unique (23:56)</li><li>Killing the SQL server (29:11)</li><li>What really separates a smart device from a dumb device that can send data to the cloud (33:13)</li><li>5G, LoRa, and drawbacks and advances in widespread IoT adoption (37:05)</li><li>Security and privacy in IoT (41:23)</li><li>Using IoT as a cattle rancher (45:20)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 17 Nov 2021 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Rob’s career began as an early adopter in internet marketing and then he got the bug for machine-to-machine IoT (2:47)</li><li>Making assumptions about mass scale (8:44)</li><li>Pervasiveness of IoT in the market (11:47)</li><li>Initial reactions to technological advances that we take for granted today (17:28)</li><li>What makes IoT unique (23:56)</li><li>Killing the SQL server (29:11)</li><li>What really separates a smart device from a dumb device that can send data to the cloud (33:13)</li><li>5G, LoRa, and drawbacks and advances in widespread IoT adoption (37:05)</li><li>Security and privacy in IoT (41:23)</li><li>Using IoT as a cattle rancher (45:20)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>62: The Internet of Everything with Rob Rastovich of ThingLogix</itunes:title>
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      <itunes:duration>00:51:52</itunes:duration>
      <itunes:summary>On this week’s episode of The Data Stack Show, Eric and Kostas have a conversation with Rob Rastovich, the CTO of ThingLogix, a Bay Area company that provides IoT services and solutions. Additionally, Rob lives on and operates a 200-acre cattle ranch in Oregon that utilizes the IoT. </itunes:summary>
      <itunes:subtitle>On this week’s episode of The Data Stack Show, Eric and Kostas have a conversation with Rob Rastovich, the CTO of ThingLogix, a Bay Area company that provides IoT services and solutions. Additionally, Rob lives on and operates a 200-acre cattle ranch in Oregon that utilizes the IoT. </itunes:subtitle>
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      <pubDate>Fri, 12 Nov 2021 09:30:00 +0000</pubDate>
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      <itunes:title>The PRQL: Are you afraid of IOT?</itunes:title>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Kevin’s interaction with data at an early age (2:35)</li><li>Working with telecom data (5:08)</li><li>Analyzing emojis in customer sentiment (8:44)</li><li>Infrastructure needed for diverse data (12:22)</li><li>Building better interfaces and looking out for human error (24:17)</li><li>Dealing with differences in identities in different layers of the stack (41:21)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 10 Nov 2021 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Kevin’s interaction with data at an early age (2:35)</li><li>Working with telecom data (5:08)</li><li>Analyzing emojis in customer sentiment (8:44)</li><li>Infrastructure needed for diverse data (12:22)</li><li>Building better interfaces and looking out for human error (24:17)</li><li>Dealing with differences in identities in different layers of the stack (41:21)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>61:  What is Data Design? With Kevin Gervais of Touchless</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas are joined by Kevin Gervais, the founder and CTO of touchless.inc. Their conversation highlights how business is a flow of data and that making intentional choices with handling and structuring data can make a big impact on the business.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas are joined by Kevin Gervais, the founder and CTO of touchless.inc. Their conversation highlights how business is a flow of data and that making intentional choices with handling and structuring data can make a big impact on the business.</itunes:subtitle>
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      <pubDate>Fri, 5 Nov 2021 08:30:00 +0000</pubDate>
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      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>A brief overview of Ashley’s background (2:47)</li><li>Benthos’ creation and the problems it was meant to address (4:01)</li><li>Use cases for Benthos (18:25)</li><li>Key features of Benthos that make it stand out (22:23)</li><li>Adding windowing to Benthos for fun (29:23)</li><li>The highs and lows of maintaining an open source project for five years (32:17)</li><li>The architecture of Benthos (36:23)</li><li>The importance of ordering in streaming processing (42:15)</li><li>Gaining traction with an open source project (53:21)</li><li>Benthos’ blobfish mascot (58:03)<br /> </li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 3 Nov 2021 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>A brief overview of Ashley’s background (2:47)</li><li>Benthos’ creation and the problems it was meant to address (4:01)</li><li>Use cases for Benthos (18:25)</li><li>Key features of Benthos that make it stand out (22:23)</li><li>Adding windowing to Benthos for fun (29:23)</li><li>The highs and lows of maintaining an open source project for five years (32:17)</li><li>The architecture of Benthos (36:23)</li><li>The importance of ordering in streaming processing (42:15)</li><li>Gaining traction with an open source project (53:21)</li><li>Benthos’ blobfish mascot (58:03)<br /> </li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>60: Architecting a Boring Stream Processing Tool With Ashley Jeffs of Benthos</itunes:title>
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      <itunes:summary>​​This week on The Data Stack Show, Eric and Kostas talk with Ashley Jeffs, the creator and maintainer of an open source project for data stream processing called Benthos. Ashley describes the journey of Benthos from starting out as just a personal “weekend warrior” project of his to becoming a full-fledged project that he’s maintained for five years.</itunes:summary>
      <itunes:subtitle>​​This week on The Data Stack Show, Eric and Kostas talk with Ashley Jeffs, the creator and maintainer of an open source project for data stream processing called Benthos. Ashley describes the journey of Benthos from starting out as just a personal “weekend warrior” project of his to becoming a full-fledged project that he’s maintained for five years.</itunes:subtitle>
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      <pubDate>Fri, 29 Oct 2021 08:30:00 +0000</pubDate>
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      <itunes:title>Data Debrief: What Open Source Data Projects Have Come Out of Facebook, Whoops, *Meta?</itunes:title>
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      <title>59: Making ETL Optional with Justin Borgman of Starburst Data</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Starburst Data is Justin’s second startup (2:42)</li><li>Starburst focuses on doing data warehousing analytics without the need for the data warehouse (4:14)</li><li>Multi-cloud solutions among merger and acquisition use cases (8:32)</li><li>Ways the stack is increasing in complexity (12:25)</li><li>Comparing essential components of a data stack from 2010 to now (15:01)</li><li>The future of ETL (27:36)</li><li>The best maturity stage for an organization to implement Starburst (31:27)</li><li>Starburst connectors (36:55)</li><li>Monetizing enterprise solutions while promoting open source ones (41:52)</li><li>The history of Presto and Trino (45:37)</li><li>Benefits of a decentralized data mesh (49:53)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 27 Oct 2021 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Starburst Data is Justin’s second startup (2:42)</li><li>Starburst focuses on doing data warehousing analytics without the need for the data warehouse (4:14)</li><li>Multi-cloud solutions among merger and acquisition use cases (8:32)</li><li>Ways the stack is increasing in complexity (12:25)</li><li>Comparing essential components of a data stack from 2010 to now (15:01)</li><li>The future of ETL (27:36)</li><li>The best maturity stage for an organization to implement Starburst (31:27)</li><li>Starburst connectors (36:55)</li><li>Monetizing enterprise solutions while promoting open source ones (41:52)</li><li>The history of Presto and Trino (45:37)</li><li>Benefits of a decentralized data mesh (49:53)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>59: Making ETL Optional with Justin Borgman of Starburst Data</itunes:title>
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      <pubDate>Fri, 22 Oct 2021 08:30:00 +0000</pubDate>
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      <title>58: Data Federation is No Longer The &quot;F&quot; Word with Scott Gnau of InterSystems</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Solving problems with data has been a long-time passion of Scott’s (2:52)</li><li>Day-to-day use of data at InterSystems (6:25)</li><li>The technical aspects involved in constructing a data fabric (17:52)</li><li>Companies at a variety of maturity levels can adopt a data fabric (26:49) </li><li>A paradigm shift in the marketplace (28:39)</li><li>Comparing and contrasting data fabric and data mesh (30:49)</li><li>Sharing data across the business and not having it siloed in different departments (39:46)</li><li>Privacy and security within a data fabric (41:22)</li><li>The future of data fabric and pushing the edge (43:17)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 20 Oct 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Solving problems with data has been a long-time passion of Scott’s (2:52)</li><li>Day-to-day use of data at InterSystems (6:25)</li><li>The technical aspects involved in constructing a data fabric (17:52)</li><li>Companies at a variety of maturity levels can adopt a data fabric (26:49) </li><li>A paradigm shift in the marketplace (28:39)</li><li>Comparing and contrasting data fabric and data mesh (30:49)</li><li>Sharing data across the business and not having it siloed in different departments (39:46)</li><li>Privacy and security within a data fabric (41:22)</li><li>The future of data fabric and pushing the edge (43:17)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>58: Data Federation is No Longer The &quot;F&quot; Word with Scott Gnau of InterSystems</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>00:49:45</itunes:duration>
      <itunes:summary>In this week’s episode of The Data Stack Show, Eric and Kostas host a conversation with Scott Gnau, the head of data platforms at InterSystems, an organization that processes data from, among other industries, the electronic medical records and capital markets spaces. Their discussion dives into an analysis of the concept of a data fabric and how it compares to the idea of a data mesh.</itunes:summary>
      <itunes:subtitle>In this week’s episode of The Data Stack Show, Eric and Kostas host a conversation with Scott Gnau, the head of data platforms at InterSystems, an organization that processes data from, among other industries, the electronic medical records and capital markets spaces. Their discussion dives into an analysis of the concept of a data fabric and how it compares to the idea of a data mesh.</itunes:subtitle>
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      <title>Data Debrief: Can Tools Help Solve Data Quality Organizational Challenges?</title>
      <description><![CDATA[On this Data Debrief, Eric and Kostas are joined by Brian from Rudderstack to talk about Data Quality.  Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com
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      <pubDate>Fri, 15 Oct 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
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      <itunes:title>Data Debrief: Can Tools Help Solve Data Quality Organizational Challenges?</itunes:title>
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      <itunes:summary>On this Data Debrief, Eric and Kostas are joined by Brian from Rudderstack to talk about Data Quality. </itunes:summary>
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      <title>57: Improving Data Quality Using Data Product SLAs with Egor Gryaznov of Bigeye</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Egor’s software engineering background and history with Uber (2:19)</li><li>Experimentation platforms and analytics definitions (7:49)</li><li>Bigeye’s function and use cases (9:40)</li><li>Managing the relationship between the data engineer maintaining the pipelines and the downstream teams providing the context (18:49)</li><li>Pinpointing problems in data compared to problems in software (21:55)</li><li>Defining data quality at Bigeye (24:13)</li><li>Machine learning models as a data product (28:38)</li><li>Determining SLAs (32:22)</li><li>How Bigeye brings different parties together and addresses natural communication barriers (36:42)</li><li>Looking at when an organization needs to implement data quality tooling (45:54)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 13 Oct 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Egor’s software engineering background and history with Uber (2:19)</li><li>Experimentation platforms and analytics definitions (7:49)</li><li>Bigeye’s function and use cases (9:40)</li><li>Managing the relationship between the data engineer maintaining the pipelines and the downstream teams providing the context (18:49)</li><li>Pinpointing problems in data compared to problems in software (21:55)</li><li>Defining data quality at Bigeye (24:13)</li><li>Machine learning models as a data product (28:38)</li><li>Determining SLAs (32:22)</li><li>How Bigeye brings different parties together and addresses natural communication barriers (36:42)</li><li>Looking at when an organization needs to implement data quality tooling (45:54)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>57: Improving Data Quality Using Data Product SLAs with Egor Gryaznov of Bigeye</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>00:56:07</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and Kostas spend some time with Egor Gryaznov, co-founder and CTO of Bigeye. Egor discusses issues surrounding data quality in organizations of various sizes and uses helpful analogies from software engineering to help define data quality.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas spend some time with Egor Gryaznov, co-founder and CTO of Bigeye. Egor discusses issues surrounding data quality in organizations of various sizes and uses helpful analogies from software engineering to help define data quality.</itunes:subtitle>
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      <title>56: Stream Processing and Observability with Jeff Chao of Stripe</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Jeff’s history with stream processing (2:52)</li><li>Working with Mantis to address the impact of Netflix downtime (4:20)</li><li>Defining observability as operational insight (6:58)</li><li>Time series data and the value of data today (18:52)</li><li>Data integration’s shift from batch to streaming (29:34)</li><li>The current state of change data capture (32:20)</li><li>How an engineer thinks of the end-user (56:21)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 6 Oct 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Jeff’s history with stream processing (2:52)</li><li>Working with Mantis to address the impact of Netflix downtime (4:20)</li><li>Defining observability as operational insight (6:58)</li><li>Time series data and the value of data today (18:52)</li><li>Data integration’s shift from batch to streaming (29:34)</li><li>The current state of change data capture (32:20)</li><li>How an engineer thinks of the end-user (56:21)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>56: Stream Processing and Observability with Jeff Chao of Stripe</itunes:title>
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      <itunes:summary>This week’s episode of The Data Stack Show features a conversation with Eric, Kostas, and Stripe software engineer Jeff Chao. Jeff has a background in stream processing, has worked at Salesforce, Heroku, and Netflix, and has been maintaining an open source project called Mantis.</itunes:summary>
      <itunes:subtitle>This week’s episode of The Data Stack Show features a conversation with Eric, Kostas, and Stripe software engineer Jeff Chao. Jeff has a background in stream processing, has worked at Salesforce, Heroku, and Netflix, and has been maintaining an open source project called Mantis.</itunes:subtitle>
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      <title>55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pete’s background in data engineering and capital market trading (2:10)</li><li>Comparison of the tooling from 2012 when Deephaven started with that of today (10:30)</li><li>Taking a closer look at defining real-time data (19:47)</li><li>Getting non-technical people, clients, and developers all on the same platform (36:11)</li><li>Deephaven’s incremental update model (40:25)</li><li>Kafka, timely data flow, and Deephaven (44:22)</li><li>Use cases for Deephaven (51:52)</li><li>Going to GitHub to try out Deephaven (1:02:43)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 29 Sep 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Pete’s background in data engineering and capital market trading (2:10)</li><li>Comparison of the tooling from 2012 when Deephaven started with that of today (10:30)</li><li>Taking a closer look at defining real-time data (19:47)</li><li>Getting non-technical people, clients, and developers all on the same platform (36:11)</li><li>Deephaven’s incremental update model (40:25)</li><li>Kafka, timely data flow, and Deephaven (44:22)</li><li>Use cases for Deephaven (51:52)</li><li>Going to GitHub to try out Deephaven (1:02:43)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
      <enclosure length="64137799" type="audio/mpeg" url="https://afp-928695-injected.calisto.simplecastaudio.com/e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c/episodes/c08cfcbb-d80f-4f07-aa57-53693fdc958d/audio/128/default.mp3?aid=rss_feed&amp;awCollectionId=e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c&amp;awEpisodeId=c08cfcbb-d80f-4f07-aa57-53693fdc958d&amp;feed=m3Tr79ut"/>
      <itunes:title>55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>01:06:48</itunes:duration>
      <itunes:summary>On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Pete Goddard, founding partner and CEO at Deephaven Data Labs. Deephaven’s query engine utilizes real-time data and creates a framework to make people productive with that engine. </itunes:summary>
      <itunes:subtitle>On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Pete Goddard, founding partner and CEO at Deephaven Data Labs. Deephaven’s query engine utilizes real-time data and creates a framework to make people productive with that engine. </itunes:subtitle>
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      <title>54: The Center of the Modern Data Stack with Neil Rahilly of Mixpanel</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Neil’s programming hobby turned into a career and how he cold-contacted Mixpanel for a job (2:28)</li><li>Lessons learned from nine years at Mixpanel (5:05)</li><li>Defining product analytics (8:06)</li><li>How Mixpanel has evolved into the product it is today (10:56)</li><li>The importance of Mixpanel’s real-time analysis (19:52)</li><li>Looking at Arb, Mixpanel’s own arbitrary segmentation database (23:44)</li><li>The business impact that the rise of the cloud data warehouse had on Mixpanel (34:56)</li><li>Sub-second latencies and real-time use cases (49:05)</li><li>Career advice from Neil (1:02:02)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 22 Sep 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Neil’s programming hobby turned into a career and how he cold-contacted Mixpanel for a job (2:28)</li><li>Lessons learned from nine years at Mixpanel (5:05)</li><li>Defining product analytics (8:06)</li><li>How Mixpanel has evolved into the product it is today (10:56)</li><li>The importance of Mixpanel’s real-time analysis (19:52)</li><li>Looking at Arb, Mixpanel’s own arbitrary segmentation database (23:44)</li><li>The business impact that the rise of the cloud data warehouse had on Mixpanel (34:56)</li><li>Sub-second latencies and real-time use cases (49:05)</li><li>Career advice from Neil (1:02:02)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
      <enclosure length="66147346" type="audio/mpeg" url="https://afp-928695-injected.calisto.simplecastaudio.com/e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c/episodes/32a682df-36a8-458f-bf3a-ac58785527bd/audio/128/default.mp3?aid=rss_feed&amp;awCollectionId=e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c&amp;awEpisodeId=32a682df-36a8-458f-bf3a-ac58785527bd&amp;feed=m3Tr79ut"/>
      <itunes:title>54: The Center of the Modern Data Stack with Neil Rahilly of Mixpanel</itunes:title>
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      <itunes:image href="https://image.simplecastcdn.com/images/ed79e08b-10db-4c48-a590-2ed2275d6c82/636f926e-3194-4e84-a72e-c24a86b83b0b/3000x3000/ep-52.jpg?aid=rss_feed"/>
      <itunes:duration>01:08:53</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and Kostas are joined by Neil Rahilly, VP of product and design at Mixpanel. Rahilly has been with Mixpanel since 2012 when he started there as a software engineer. Their conversation dives into product analytics and takeaways from his time at Mixpanel.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas are joined by Neil Rahilly, VP of product and design at Mixpanel. Rahilly has been with Mixpanel since 2012 when he started there as a software engineer. Their conversation dives into product analytics and takeaways from his time at Mixpanel.</itunes:subtitle>
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      <title>53: What Religion, a Cult, and a Tech Product Have in Common, with Bart Farrell of DoKC</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Bart’s journey from southern California, to New York, to Egypt, to London, to Spain (3:31)</li><li>Exposure to different communities and finding shared language and experience (10:21)</li><li>Looking back at early online communities and how they furthered your learning journey (27:50)</li><li>How the level of niche-ness impacts a community (44:06)</li><li>The cautionary tale of WeWork (57:28)</li><li>Surefire community killers (1:03:44)</li><li>Open source communities in tech and the passion that drives them (1:08:11)</li></ul><p>Follow the Data on Kubernetes Community at DoK.community and on Twitter at @DoKCommunity. You can follow Bart at @birthmarkbart.</p><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 15 Sep 2021 12:53:49 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>Bart’s journey from southern California, to New York, to Egypt, to London, to Spain (3:31)</li><li>Exposure to different communities and finding shared language and experience (10:21)</li><li>Looking back at early online communities and how they furthered your learning journey (27:50)</li><li>How the level of niche-ness impacts a community (44:06)</li><li>The cautionary tale of WeWork (57:28)</li><li>Surefire community killers (1:03:44)</li><li>Open source communities in tech and the passion that drives them (1:08:11)</li></ul><p>Follow the Data on Kubernetes Community at DoK.community and on Twitter at @DoKCommunity. You can follow Bart at @birthmarkbart.</p><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>53: What Religion, a Cult, and a Tech Product Have in Common, with Bart Farrell of DoKC</itunes:title>
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      <itunes:duration>01:20:05</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat have a conversation with Bart Farrell, a CNCF ambassador, and a community leader for Data on Kubernetes Community. Together they dive into the ins and outs of communities in tech and discuss what can make or break those groups.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat have a conversation with Bart Farrell, a CNCF ambassador, and a community leader for Data on Kubernetes Community. Together they dive into the ins and outs of communities in tech and discuss what can make or break those groups.</itunes:subtitle>
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      <title>52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY</title>
      <description><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>James’ background at Microsoft and current work with EY’s data fabric (2:22)</li><li>The external and internal facing components of EY’s data fabric (6:39)</li><li>The importance of the data lineage (11:29)</li><li>The most important requirements for data quality (15:32)</li><li>Looking at the data capabilities of Microsoft (21:30)</li><li>The data warehouse, explained (29:00)</li><li>Using a data warehouse or a data lake (34:33)</li><li>Defining the buzzword data mesh (51:13)</li><li>The problem with data mesh (59:31)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 8 Sep 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s conversation include:</p><ul><li>James’ background at Microsoft and current work with EY’s data fabric (2:22)</li><li>The external and internal facing components of EY’s data fabric (6:39)</li><li>The importance of the data lineage (11:29)</li><li>The most important requirements for data quality (15:32)</li><li>Looking at the data capabilities of Microsoft (21:30)</li><li>The data warehouse, explained (29:00)</li><li>Using a data warehouse or a data lake (34:33)</li><li>Defining the buzzword data mesh (51:13)</li><li>The problem with data mesh (59:31)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>52: Discussing Data Warehouses, Lakes, and Meshes with James Serra of EY</itunes:title>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with James Serra, data platform architecture lead at EY (Ernst &amp; Young), about data warehouses, lakes, and meshes. James regularly shares his thoughts on the industry at jamesserra.com.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with James Serra, data platform architecture lead at EY (Ernst &amp; Young), about data warehouses, lakes, and meshes. James regularly shares his thoughts on the industry at jamesserra.com.</itunes:subtitle>
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      <title>51:  Democratizing AI and ML with Tristan Zajonc of Continual</title>
      <description><![CDATA[<p>Topics in this wide-ranging conversation include: </p><ul><li>Tristan’s background with Cloudera and the need for continual operational ML and AI (3:15)</li><li>How the complexity of Continual is hidden behind a simplicity of use (14:48)</li><li>Focusing on data that lives within a data warehouse (18:43)</li><li>Understanding features in the ML conversation (22:47)</li><li>The three layers of Continual (26:11)</li><li>The importance of SQL to Continual (30:19)</li><li>Caching layers and the data warehouse centric approach (38:28)</li><li>Betting on the warehouse being a central component of data stack architecture (43:34)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 1 Sep 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Topics in this wide-ranging conversation include: </p><ul><li>Tristan’s background with Cloudera and the need for continual operational ML and AI (3:15)</li><li>How the complexity of Continual is hidden behind a simplicity of use (14:48)</li><li>Focusing on data that lives within a data warehouse (18:43)</li><li>Understanding features in the ML conversation (22:47)</li><li>The three layers of Continual (26:11)</li><li>The importance of SQL to Continual (30:19)</li><li>Caching layers and the data warehouse centric approach (38:28)</li><li>Betting on the warehouse being a central component of data stack architecture (43:34)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
      <enclosure length="52650190" type="audio/mpeg" url="https://afp-928695-injected.calisto.simplecastaudio.com/e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c/episodes/a41d1258-9014-40fc-ac48-b42e20bffc96/audio/128/default.mp3?aid=rss_feed&amp;awCollectionId=e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c&amp;awEpisodeId=a41d1258-9014-40fc-ac48-b42e20bffc96&amp;feed=m3Tr79ut"/>
      <itunes:title>51:  Democratizing AI and ML with Tristan Zajonc of Continual</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/ed79e08b-10db-4c48-a590-2ed2275d6c82/54dd175e-07c1-4f85-b9d7-07f6f387ac1b/3000x3000/ep-51.jpg?aid=rss_feed"/>
      <itunes:duration>00:54:50</itunes:duration>
      <itunes:summary>Joining Eric and Kostas this week on The Data Stack Show is Tristan Zajonc, the cofounder and CEO of Continual. Continual is offering early access to its operational AI layer for cloud data warehouses at continual.ai. </itunes:summary>
      <itunes:subtitle>Joining Eric and Kostas this week on The Data Stack Show is Tristan Zajonc, the cofounder and CEO of Continual. Continual is offering early access to its operational AI layer for cloud data warehouses at continual.ai. </itunes:subtitle>
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      <title>50: From Data Infrastructure to Data Management with Ananth Packkildurai</title>
      <description><![CDATA[<p>Highlights from this week’s episode:</p><ul><li>Ananth’s background (2:51)</li><li>The evolution of Slack (4:54)</li><li>Kafka and Presto’s two of the most reliable and flexible tools for Ananth (9:43)</li><li>How Snowflake gained an advantage over Presto (13:24)</li><li>Opinions about data lakes (17:23)</li><li>Core features of data infrastructure (23:22)</li><li>The tools define the process, and not the other way around (31:30)</li><li>Defining a data mesh (36:44)</li><li>Data is inherently social in nature (40:31)</li><li>Lessons learned from writing Data Engineering Weekly (49:14)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 25 Aug 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s episode:</p><ul><li>Ananth’s background (2:51)</li><li>The evolution of Slack (4:54)</li><li>Kafka and Presto’s two of the most reliable and flexible tools for Ananth (9:43)</li><li>How Snowflake gained an advantage over Presto (13:24)</li><li>Opinions about data lakes (17:23)</li><li>Core features of data infrastructure (23:22)</li><li>The tools define the process, and not the other way around (31:30)</li><li>Defining a data mesh (36:44)</li><li>Data is inherently social in nature (40:31)</li><li>Lessons learned from writing Data Engineering Weekly (49:14)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>50: From Data Infrastructure to Data Management with Ananth Packkildurai</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:summary>This week on The Data Stack Show, Eric and Kostas get the chance to talk with Ananth Packkildurai, Zendesk’s principal data engineer and the author of the Data Engineering Weekly newsletter.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas get the chance to talk with Ananth Packkildurai, Zendesk’s principal data engineer and the author of the Data Engineering Weekly newsletter.</itunes:subtitle>
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      <title>49: MLops - The Finalization of the Data Stack with Ben Rogojan of Facebook</title>
      <description><![CDATA[<p>Topics in this conversation include: </p><ul><li>Ben's background and his shift to data engineering (2:19)</li><li>Trends in the data space: finding the most efficient tools, the Snowflake phenomenon, and keeping up with new functionalities (5:33)</li><li>Key differences in data practices in small companies and Facebook-sized companies (12:38)</li><li>Having to build tools specifically designed for Facebook because of SaaS product limitations (16:00)</li><li>Team structure at Facebook (18:17)</li><li>Developing more robust systems that are resistent to pipeline failure (19:50)</li><li>Defining data stacks (24:01)</li><li>A sample data stack for a young company (28:37)</li><li>Why Redshift and Snowflake have trended in the opposite direction (33:02)</li><li>BigQuery and Snowflake comparisons (36:06)</li><li>MLOps and whose responsibility is it (39:12)</li><li>Feast, Tecton, and feature stores (45:40)</li><li>Having a good community around an open source product (49:30)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 18 Aug 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Topics in this conversation include: </p><ul><li>Ben's background and his shift to data engineering (2:19)</li><li>Trends in the data space: finding the most efficient tools, the Snowflake phenomenon, and keeping up with new functionalities (5:33)</li><li>Key differences in data practices in small companies and Facebook-sized companies (12:38)</li><li>Having to build tools specifically designed for Facebook because of SaaS product limitations (16:00)</li><li>Team structure at Facebook (18:17)</li><li>Developing more robust systems that are resistent to pipeline failure (19:50)</li><li>Defining data stacks (24:01)</li><li>A sample data stack for a young company (28:37)</li><li>Why Redshift and Snowflake have trended in the opposite direction (33:02)</li><li>BigQuery and Snowflake comparisons (36:06)</li><li>MLOps and whose responsibility is it (39:12)</li><li>Feast, Tecton, and feature stores (45:40)</li><li>Having a good community around an open source product (49:30)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>49: MLops - The Finalization of the Data Stack with Ben Rogojan of Facebook</itunes:title>
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      <itunes:summary>Kicking off season three of The Data Stack Show, Kostas and Eric converse with Ben Rogojan, perhaps better known as Seattle Data Guy. In addition to being a data engineer at Facebook, Ben is also a consultant for a number of smaller organizations and shares his insights on some of the unique issues data engineers face at companies with such a vast difference in scale.</itunes:summary>
      <itunes:subtitle>Kicking off season three of The Data Stack Show, Kostas and Eric converse with Ben Rogojan, perhaps better known as Seattle Data Guy. In addition to being a data engineer at Facebook, Ben is also a consultant for a number of smaller organizations and shares his insights on some of the unique issues data engineers face at companies with such a vast difference in scale.</itunes:subtitle>
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      <title>48: Season Two Recap with Eric Dodds and Kostas Pardalis</title>
      <description><![CDATA[<p>Highlights from this week’s episode:</p><ul><li>Dissecting the different team structures from organizations in season two (1:16)</li><li>The people behind the data are key to the data itself (9:17)</li><li>Open source licensing and the core components needed for large scale commercial viability (15:13)</li><li>Game-changing core technologies in the new data economy (22:09)</li><li>Snowflake vs. Databricks battle. "The UFC of Geeks" (25:54)</li></ul><p><i>The Data Stack Show </i>is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p><strong>RudderStack</strong> helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 11 Aug 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s episode:</p><ul><li>Dissecting the different team structures from organizations in season two (1:16)</li><li>The people behind the data are key to the data itself (9:17)</li><li>Open source licensing and the core components needed for large scale commercial viability (15:13)</li><li>Game-changing core technologies in the new data economy (22:09)</li><li>Snowflake vs. Databricks battle. "The UFC of Geeks" (25:54)</li></ul><p><i>The Data Stack Show </i>is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p><strong>RudderStack</strong> helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>48: Season Two Recap with Eric Dodds and Kostas Pardalis</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>00:32:45</itunes:duration>
      <itunes:summary>The Data Stack Show just wrapped up Season Two and hosts Eric and Kostas are back to recap some of the biggest themes and trends from the past season.</itunes:summary>
      <itunes:subtitle>The Data Stack Show just wrapped up Season Two and hosts Eric and Kostas are back to recap some of the biggest themes and trends from the past season.</itunes:subtitle>
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      <title>47: Taming the Four Dragons of Data with Sven Balnojan of Mercateo Gruppe</title>
      <description><![CDATA[<p>Highlights from this week’s episode include:</p><ul><li>Sven's Ph.D. in Singularity Theory (2:59)</li><li>The Databricks vs. Snowflake conversation (8:17)</li><li>The difficulty of not just inventing something new, but making it accessible (18:01)</li><li>Databricks and unstructured data (22:22)</li><li>Organizational change responding to technological change (29:27)</li><li>The three-dimensional evolution of a successful open source project (40:31)</li></ul><p><strong>The Data Stack Show</strong> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p><strong>RudderStack</strong> helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 4 Aug 2021 15:53:10 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s episode include:</p><ul><li>Sven's Ph.D. in Singularity Theory (2:59)</li><li>The Databricks vs. Snowflake conversation (8:17)</li><li>The difficulty of not just inventing something new, but making it accessible (18:01)</li><li>Databricks and unstructured data (22:22)</li><li>Organizational change responding to technological change (29:27)</li><li>The three-dimensional evolution of a successful open source project (40:31)</li></ul><p><strong>The Data Stack Show</strong> is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p><strong>RudderStack</strong> helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>47: Taming the Four Dragons of Data with Sven Balnojan of Mercateo Gruppe</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/ed79e08b-10db-4c48-a590-2ed2275d6c82/d51affcc-5c72-4323-8767-c60f33fda42a/3000x3000/audio-cover-2.jpg?aid=rss_feed"/>
      <itunes:duration>00:51:05</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and Kostas are joined by Sven Balnojan, product owner (analytics) at Mercateo Gruppe and author of the recent article “How to Become The Next 30 Billion $$$ Data Company”. Their conversation focused on a comparison and contrast of Databricks and Snowflake and discussed what it takes for an open-source project to succeed when a whopping 98% of them fail.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas are joined by Sven Balnojan, product owner (analytics) at Mercateo Gruppe and author of the recent article “How to Become The Next 30 Billion $$$ Data Company”. Their conversation focused on a comparison and contrast of Databricks and Snowflake and discussed what it takes for an open-source project to succeed when a whopping 98% of them fail.</itunes:subtitle>
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      <title>46: A New Paradigm in Stream Processing with Arjun Narayan of Materialize</title>
      <description><![CDATA[<p>Highlights from this week’s episode include:</p><ul><li>Introducing Arjun and how he fell in love with databases (2:51)</li><li>Looking at what Materialize brings to the stack (5:28)</li><li>Analytics starts with a human in the loop and comes into its own when analysts get themselves out and automate it (15:46)</li><li>Using Materialize instead of the materialized view from another tool (18:44)</li><li>Comparing Postgres and Materialize and looking at what's under the hood of Materialize (23:16)</li><li>Making Materialize simple to use (32:33)</li><li>Why Materialize doubled down on writing 100% in Rust (35:43)</li><li>The best use case to start with (42:03)</li><li>Lessons learned from making Materialize a cloud offering (44:22)</li><li>Keeping databases to the cloud for low latency (48:31)<br /> </li></ul><p><strong>The Data Stack Show</strong> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 28 Jul 2021 15:00:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s episode include:</p><ul><li>Introducing Arjun and how he fell in love with databases (2:51)</li><li>Looking at what Materialize brings to the stack (5:28)</li><li>Analytics starts with a human in the loop and comes into its own when analysts get themselves out and automate it (15:46)</li><li>Using Materialize instead of the materialized view from another tool (18:44)</li><li>Comparing Postgres and Materialize and looking at what's under the hood of Materialize (23:16)</li><li>Making Materialize simple to use (32:33)</li><li>Why Materialize doubled down on writing 100% in Rust (35:43)</li><li>The best use case to start with (42:03)</li><li>Lessons learned from making Materialize a cloud offering (44:22)</li><li>Keeping databases to the cloud for low latency (48:31)<br /> </li></ul><p><strong>The Data Stack Show</strong> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
      <enclosure length="53958821" type="audio/mpeg" url="https://afp-928695-injected.calisto.simplecastaudio.com/e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c/episodes/335c5c78-43f4-4b85-8e21-91b0bf36833b/audio/128/default.mp3?aid=rss_feed&amp;awCollectionId=e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c&amp;awEpisodeId=335c5c78-43f4-4b85-8e21-91b0bf36833b&amp;feed=m3Tr79ut"/>
      <itunes:title>46: A New Paradigm in Stream Processing with Arjun Narayan of Materialize</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>00:56:12</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and Kostas chat with Arjun Narayan, co-founder and CEO at Materialize. Materialize is a streaming database for real-time applications and analytics that allows users to get extremely complicated and complex analytics answers in real-time on top of streams.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas chat with Arjun Narayan, co-founder and CEO at Materialize. Materialize is a streaming database for real-time applications and analytics that allows users to get extremely complicated and complex analytics answers in real-time on top of streams.</itunes:subtitle>
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      <title>45: Open Source and Attribution with Ophir Prusak of Codesmith</title>
      <description><![CDATA[<p>Highlights from today's conversation include:</p><ul><li>Ophir's decision to switch from software engineering to marketing and riding the startup train (2:39)</li><li>Open sourcing in the world of software (5:55)</li><li>How open source has changed Ophir's life as a marketeer working at startups (10:28)</li><li>Chartio's sunsetting drove Ophir to search for a data tooling replacement (27:27)</li><li>Discussing trends in adoption of tools for small scale and large scale companies (35:01)</li><li>Data challenges related to attribution--how wrong do you want to be?  (44:07)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 21 Jul 2021 16:21:19 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from today's conversation include:</p><ul><li>Ophir's decision to switch from software engineering to marketing and riding the startup train (2:39)</li><li>Open sourcing in the world of software (5:55)</li><li>How open source has changed Ophir's life as a marketeer working at startups (10:28)</li><li>Chartio's sunsetting drove Ophir to search for a data tooling replacement (27:27)</li><li>Discussing trends in adoption of tools for small scale and large scale companies (35:01)</li><li>Data challenges related to attribution--how wrong do you want to be?  (44:07)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>45: Open Source and Attribution with Ophir Prusak of Codesmith</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/ed79e08b-10db-4c48-a590-2ed2275d6c82/b956ae4b-3d55-4e93-9b2a-b457258df9c8/3000x3000/audio-cover-1.jpg?aid=rss_feed"/>
      <itunes:duration>00:55:59</itunes:duration>
      <itunes:summary>On The Data Stack Show this week, Eric and Kostas are joined by Ophir Prusak, head of growth at startup Codesmith, a bootcamp for software engineers. For nearly a decade, Ophir has been the initial marketing hire for a number of startups and has a variety of experience working with open source tools. He contributes his thoughts on the open source ecosystem and offers perspective on data attribution and the resulting conversations between engineers and marketing.</itunes:summary>
      <itunes:subtitle>On The Data Stack Show this week, Eric and Kostas are joined by Ophir Prusak, head of growth at startup Codesmith, a bootcamp for software engineers. For nearly a decade, Ophir has been the initial marketing hire for a number of startups and has a variety of experience working with open source tools. He contributes his thoughts on the open source ecosystem and offers perspective on data attribution and the resulting conversations between engineers and marketing.</itunes:subtitle>
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      <title>44: Leveraging Data in a Post-Covid World with Ruben Ugarte of Practico Analytics</title>
      <description><![CDATA[<p>Highlights from this week's episode: </p><ul><li>Ruben's background (2:36)</li><li>Massive shifts in data caused by COVID (4:47)</li><li>Big Tech is no longer untouchable (9:54)</li><li>Accelerations in the BI space (15:17)</li><li>A focus on people and on trust (23:43)</li><li>Numbers are filtered by the biases of the people viewing them (28:46)</li><li>AI trends and adoption (38:06)</li><li>Using qualitative data for insights, particularly at early stages (40:56)</li><li>Recommendations for taking stock of who is using the data and assessing what their skills are (50:06)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 14 Jul 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week's episode: </p><ul><li>Ruben's background (2:36)</li><li>Massive shifts in data caused by COVID (4:47)</li><li>Big Tech is no longer untouchable (9:54)</li><li>Accelerations in the BI space (15:17)</li><li>A focus on people and on trust (23:43)</li><li>Numbers are filtered by the biases of the people viewing them (28:46)</li><li>AI trends and adoption (38:06)</li><li>Using qualitative data for insights, particularly at early stages (40:56)</li><li>Recommendations for taking stock of who is using the data and assessing what their skills are (50:06)</li></ul><p>The Data Stack Show is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
      <enclosure length="55258674" type="audio/mpeg" url="https://afp-928695-injected.calisto.simplecastaudio.com/e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c/episodes/87aced0d-2e6c-4fe1-9f1d-ff04a7103b41/audio/128/default.mp3?aid=rss_feed&amp;awCollectionId=e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c&amp;awEpisodeId=87aced0d-2e6c-4fe1-9f1d-ff04a7103b41&amp;feed=m3Tr79ut"/>
      <itunes:title>44: Leveraging Data in a Post-Covid World with Ruben Ugarte of Practico Analytics</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/ed79e08b-10db-4c48-a590-2ed2275d6c82/782410ba-3bf8-4d59-9594-9a222ffb1d3a/3000x3000/audio-cover.jpg?aid=rss_feed"/>
      <itunes:duration>00:57:33</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and Kostas talk with Ruben Ugarte, principal at Practico Analytics. As a consultant, Ruben has worked with a wide variety of companies who are emerging from the pandemic with wildly different data landscapes whether they&apos;ve seen tremendous growth or have seen their business struggle. For both kinds of organizations, Ruben has helped them make sense of their data. Eric and Kostas also discuss Ruben&apos;s new book, The Data Mirage.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas talk with Ruben Ugarte, principal at Practico Analytics. As a consultant, Ruben has worked with a wide variety of companies who are emerging from the pandemic with wildly different data landscapes whether they&apos;ve seen tremendous growth or have seen their business struggle. For both kinds of organizations, Ruben has helped them make sense of their data. Eric and Kostas also discuss Ruben&apos;s new book, The Data Mirage.</itunes:subtitle>
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      <title>43: Modern Authentication and User Management with Sokratis Vidros of Clerk.dev</title>
      <description><![CDATA[<p>Highlights from this week's episode:</p><ul><li>Sokratis' realization that big corporations were not the best thing for him (2:56)</li><li>Transitioning for Workable to Clerk.dev (3:40)</li><li>Convincing developers to outsource components to a service (9:36)</li><li>Clerk's layered solutions and how it affects the developer and the end-user (12:41)</li><li>Starting with Clerk from scratch vs. using Clerk to replace an existing component (19:55)</li><li>Synergies and SaaS starter kit (24:06)</li><li>Building Clerk to avoid a single point of failure (29:19)</li><li>Reflecting back on the transformation and growth of Workable, and how it was like working at eight different companies (33:03)</li><li>Lessons that Sokratis has taken away from his years as a developer (42:18)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 7 Jul 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week's episode:</p><ul><li>Sokratis' realization that big corporations were not the best thing for him (2:56)</li><li>Transitioning for Workable to Clerk.dev (3:40)</li><li>Convincing developers to outsource components to a service (9:36)</li><li>Clerk's layered solutions and how it affects the developer and the end-user (12:41)</li><li>Starting with Clerk from scratch vs. using Clerk to replace an existing component (19:55)</li><li>Synergies and SaaS starter kit (24:06)</li><li>Building Clerk to avoid a single point of failure (29:19)</li><li>Reflecting back on the transformation and growth of Workable, and how it was like working at eight different companies (33:03)</li><li>Lessons that Sokratis has taken away from his years as a developer (42:18)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
      <enclosure length="44167709" type="audio/mpeg" url="https://afp-928695-injected.calisto.simplecastaudio.com/e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c/episodes/7072a54d-0833-4e14-a954-3d75ae40dfa3/audio/128/default.mp3?aid=rss_feed&amp;awCollectionId=e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c&amp;awEpisodeId=7072a54d-0833-4e14-a954-3d75ae40dfa3&amp;feed=m3Tr79ut"/>
      <itunes:title>43: Modern Authentication and User Management with Sokratis Vidros of Clerk.dev</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/ed79e08b-10db-4c48-a590-2ed2275d6c82/4e608abc-a809-4121-b25f-457938331188/3000x3000/audio-cover-3.jpg?aid=rss_feed"/>
      <itunes:duration>00:46:00</itunes:duration>
      <itunes:summary>On this week&apos;s episode of The Data Stack Show, Eric and Kostas are joined by Sokratis Vidros, founding engineer at Clerk.dev, a complete user management solution with easy to use APIs for developers.</itunes:summary>
      <itunes:subtitle>On this week&apos;s episode of The Data Stack Show, Eric and Kostas are joined by Sokratis Vidros, founding engineer at Clerk.dev, a complete user management solution with easy to use APIs for developers.</itunes:subtitle>
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      <title>42: Scaling Data Science with Ryan Boyer of Shipt</title>
      <description><![CDATA[<p>Highlights from this week’s episode include:</p><ul><li>Ryan's full circle path from stocking shelves at Target to using data science for a company owned by Target (2:00)</li><li>Building great tools and wielding them effectively (5:04)</li><li>Changes at Shipt since being acquired (9:29)</li><li>How people’s bias impacts models built by data scientists (12:30)</li><li>The different data sources Shipt incorporates (22:02)</li><li>How Ryan's work as a data scientist has changed as Shipt has grown (25:29)</li><li>How data science helps marketing (31:38)</li><li>Improving search experience (34:23)</li><li>Shipt's evolving data stack (38:27)</li><li>New trends in data science (47:06)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 30 Jun 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s episode include:</p><ul><li>Ryan's full circle path from stocking shelves at Target to using data science for a company owned by Target (2:00)</li><li>Building great tools and wielding them effectively (5:04)</li><li>Changes at Shipt since being acquired (9:29)</li><li>How people’s bias impacts models built by data scientists (12:30)</li><li>The different data sources Shipt incorporates (22:02)</li><li>How Ryan's work as a data scientist has changed as Shipt has grown (25:29)</li><li>How data science helps marketing (31:38)</li><li>Improving search experience (34:23)</li><li>Shipt's evolving data stack (38:27)</li><li>New trends in data science (47:06)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
      <enclosure length="50786511" type="audio/mpeg" url="https://afp-928695-injected.calisto.simplecastaudio.com/e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c/episodes/355856fa-057d-485b-b6c9-a7951000ece7/audio/128/default.mp3?aid=rss_feed&amp;awCollectionId=e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c&amp;awEpisodeId=355856fa-057d-485b-b6c9-a7951000ece7&amp;feed=m3Tr79ut"/>
      <itunes:title>42: Scaling Data Science with Ryan Boyer of Shipt</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/ed79e08b-10db-4c48-a590-2ed2275d6c82/3aa18a39-438f-48ec-8777-da21cc3981cb/3000x3000/audio-cover-1.jpg?aid=rss_feed"/>
      <itunes:duration>00:52:53</itunes:duration>
      <itunes:summary>On this week’s episode of The Data Stack Show, Eric and Kostas talk with Ryan Boyer, principal data scientist at Shipt. Ryan, who’s been with Shipt since before its acquisition by Target, offers insights on the evolution of data science at the company and more in this conversation.</itunes:summary>
      <itunes:subtitle>On this week’s episode of The Data Stack Show, Eric and Kostas talk with Ryan Boyer, principal data scientist at Shipt. Ryan, who’s been with Shipt since before its acquisition by Target, offers insights on the evolution of data science at the company and more in this conversation.</itunes:subtitle>
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      <title>41: Doing MLOps on Top of Apache Pulsar and Trino with Joshua Odmark of Pandio</title>
      <description><![CDATA[<p>Highlights from this week’s episode:</p><ul><li>Joshua started his first company at age 15 and then sold two more startups after that (2:15)</li><li>Embracing the open source movement and not reinventing the wheel if you don't have to (12:15)</li><li>Pulsar seemed built to address Kafka's weaknesses (17:23)</li><li>Using Redis as a coordinator for federated learning and taking advantage of its portability (23:05)</li><li>The pillars of Pandio and some practical use cases (31:24)</li><li>Feature stores and model versioning (38:23)</li><li>Seeing Pulsar as the future because of the ability to run tens of millions of topics (41:04)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 23 Jun 2021 16:15:41 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s episode:</p><ul><li>Joshua started his first company at age 15 and then sold two more startups after that (2:15)</li><li>Embracing the open source movement and not reinventing the wheel if you don't have to (12:15)</li><li>Pulsar seemed built to address Kafka's weaknesses (17:23)</li><li>Using Redis as a coordinator for federated learning and taking advantage of its portability (23:05)</li><li>The pillars of Pandio and some practical use cases (31:24)</li><li>Feature stores and model versioning (38:23)</li><li>Seeing Pulsar as the future because of the ability to run tens of millions of topics (41:04)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
      <enclosure length="48340195" type="audio/mpeg" url="https://afp-928695-injected.calisto.simplecastaudio.com/e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c/episodes/a4ae335d-d238-489e-bdb0-3307ddb0dbca/audio/128/default.mp3?aid=rss_feed&amp;awCollectionId=e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c&amp;awEpisodeId=a4ae335d-d238-489e-bdb0-3307ddb0dbca&amp;feed=m3Tr79ut"/>
      <itunes:title>41: Doing MLOps on Top of Apache Pulsar and Trino with Joshua Odmark of Pandio</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/ed79e08b-10db-4c48-a590-2ed2275d6c82/42099671-71dc-4948-8b72-d7b07db17cf9/3000x3000/audio-cover-1.jpg?aid=rss_feed"/>
      <itunes:duration>00:50:20</itunes:duration>
      <itunes:summary>This week on The Data Stack Show, Eric and Kostas are joined by Joshua Odmark, the co-founder, and CTO of Pandio. Pandio is built on Apache Pulsar and is designed to help companies achieve their AI and ML goals.</itunes:summary>
      <itunes:subtitle>This week on The Data Stack Show, Eric and Kostas are joined by Joshua Odmark, the co-founder, and CTO of Pandio. Pandio is built on Apache Pulsar and is designed to help companies achieve their AI and ML goals.</itunes:subtitle>
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      <title>40: Graph Processing on Snowflake for Customer Behavioral Analytics</title>
      <description><![CDATA[<p>Highlights from this week’s episode include:</p><ul><li>Launching Affinio and the engineering backgrounds of the co-founders (2:36)</li><li>The massive transformation in customer data privacy regulation in the past eight years (6:23)</li><li>Creating the underpinning technology that can apply to any customer behavioral data set (10:05)</li><li>Ranking and scoring surfing patterns and sorting nodes and edges (14:13)</li><li>Placing the importance of attributes into a simple UI experience (19:28)</li><li>Going from a columnar database to a graph processing system (25:20)</li><li>Working with custom or atypical data (32:46)</li><li>The decision to work with Snowflake (37:43)</li><li>Next steps for utilizing third-party tools within Snowflake (52:18)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 16 Jun 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s episode include:</p><ul><li>Launching Affinio and the engineering backgrounds of the co-founders (2:36)</li><li>The massive transformation in customer data privacy regulation in the past eight years (6:23)</li><li>Creating the underpinning technology that can apply to any customer behavioral data set (10:05)</li><li>Ranking and scoring surfing patterns and sorting nodes and edges (14:13)</li><li>Placing the importance of attributes into a simple UI experience (19:28)</li><li>Going from a columnar database to a graph processing system (25:20)</li><li>Working with custom or atypical data (32:46)</li><li>The decision to work with Snowflake (37:43)</li><li>Next steps for utilizing third-party tools within Snowflake (52:18)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
      <enclosure length="55465981" type="audio/mpeg" url="https://afp-928695-injected.calisto.simplecastaudio.com/e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c/episodes/6d03290e-f6d9-4133-bec1-3de80aa2757c/audio/128/default.mp3?aid=rss_feed&amp;awCollectionId=e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c&amp;awEpisodeId=6d03290e-f6d9-4133-bec1-3de80aa2757c&amp;feed=m3Tr79ut"/>
      <itunes:title>40: Graph Processing on Snowflake for Customer Behavioral Analytics</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/ed79e08b-10db-4c48-a590-2ed2275d6c82/ebed668e-3b6b-4572-b7c7-ae49b9cd9664/3000x3000/audio-cover-1.jpg?aid=rss_feed"/>
      <itunes:duration>00:57:46</itunes:duration>
      <itunes:summary>In this week&apos;s episode of The Data Stack Show, Eric and Kostas talk with the co-founders of Affinio Tim Burke and Stephen Hankinson. Affinio&apos;s core intellectual property is a custom-built graph analytics engine that can now be ported directly into Snowflake in a privacy-first format. </itunes:summary>
      <itunes:subtitle>In this week&apos;s episode of The Data Stack Show, Eric and Kostas talk with the co-founders of Affinio Tim Burke and Stephen Hankinson. Affinio&apos;s core intellectual property is a custom-built graph analytics engine that can now be ported directly into Snowflake in a privacy-first format. </itunes:subtitle>
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      <title>39: Diving deeper into CDC with Ali Hamidi and Taron Foxworth of Meroxa</title>
      <description><![CDATA[<p>Highlights from this week’s episode include:</p><ul><li>Meroxa is a real-time data engineering managed platform (4:53)</li><li>Use cases for CDC (6:20)</li><li>Meroxa leverages open source tools to provide initial snapshots and start the CDC stream (12:29)</li><li>Making the platform publicly available (14:14)</li><li>What the Meroxa user experience looks like (16:10)</li><li>Raising Series A funding (17:49)</li><li>Easiest and most difficult data sources for CDC (20:23)</li><li>The current state of open CDC (23:16)</li><li>Expected latency when using CDC (29:56</li><li>CDC, reverse ETL, and a focus on real-time (36:39) </li><li>Are existing parts of the stack when Meroxa is adapted? (39:45)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Fri, 11 Jun 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week’s episode include:</p><ul><li>Meroxa is a real-time data engineering managed platform (4:53)</li><li>Use cases for CDC (6:20)</li><li>Meroxa leverages open source tools to provide initial snapshots and start the CDC stream (12:29)</li><li>Making the platform publicly available (14:14)</li><li>What the Meroxa user experience looks like (16:10)</li><li>Raising Series A funding (17:49)</li><li>Easiest and most difficult data sources for CDC (20:23)</li><li>The current state of open CDC (23:16)</li><li>Expected latency when using CDC (29:56</li><li>CDC, reverse ETL, and a focus on real-time (36:39) </li><li>Are existing parts of the stack when Meroxa is adapted? (39:45)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
      <enclosure length="47709077" type="audio/mpeg" url="https://afp-928695-injected.calisto.simplecastaudio.com/e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c/episodes/21ea65d8-babf-4f14-b44d-4e96e5f8b0dc/audio/128/default.mp3?aid=rss_feed&amp;awCollectionId=e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c&amp;awEpisodeId=21ea65d8-babf-4f14-b44d-4e96e5f8b0dc&amp;feed=m3Tr79ut"/>
      <itunes:title>39: Diving deeper into CDC with Ali Hamidi and Taron Foxworth of Meroxa</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/ed79e08b-10db-4c48-a590-2ed2275d6c82/4b708fec-9ba5-4bed-af01-a6f796b01425/3000x3000/audio-cover-1.jpg?aid=rss_feed"/>
      <itunes:duration>00:49:41</itunes:duration>
      <itunes:summary>On this week’s episode of The Data Stack Show, Eric and Kostas have Meroxa back on the show, this time talking with co-founder and CTO Ali Hamidi and developer advocate Taron Foxworth. Together they discuss uses and implementations of change data capture, formulating open CDC guidelines, and debate the use of reverse ETL. </itunes:summary>
      <itunes:subtitle>On this week’s episode of The Data Stack Show, Eric and Kostas have Meroxa back on the show, this time talking with co-founder and CTO Ali Hamidi and developer advocate Taron Foxworth. Together they discuss uses and implementations of change data capture, formulating open CDC guidelines, and debate the use of reverse ETL. </itunes:subtitle>
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      <title>38: Graph Databases &amp; Data Governance with David Allen of Neo4j</title>
      <description><![CDATA[<p>Highlights from this week's episode include: </p><ul><li>David’s background in comparative databases (1:50)</li><li>David’s experience and lessons he learned from writing his book (3:23)</li><li>How writing a technical book compares to writing technical documentation (4:41)</li><li>The process of writing a book (6:30)</li><li>The best and worst part of David’s book writing experience (8:02)</li><li>An introduction to what Neo4j is (9:08)</li><li>What you need to graph (11:13)</li><li>Typical problems a graph database is a good solution for (13:00)</li><li>The difference between performance and relational databases (18:41)</li><li>How Neo4j addresses performance and ergonomics (23:30)</li><li>Neo4j and scalability (26:20)</li><li>How Neo4j fits in the modern data stack (31:48)</li><li>Neo4j use cases (35:45)</li><li>Practical implementation of Neo4j (40:51)</li><li>Neo4j’s relationship with open source (45:50)</li></ul><p><i>The</i><a href="https://datastackshow.com/"><i> Data Stack Show</i></a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 2 Jun 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week's episode include: </p><ul><li>David’s background in comparative databases (1:50)</li><li>David’s experience and lessons he learned from writing his book (3:23)</li><li>How writing a technical book compares to writing technical documentation (4:41)</li><li>The process of writing a book (6:30)</li><li>The best and worst part of David’s book writing experience (8:02)</li><li>An introduction to what Neo4j is (9:08)</li><li>What you need to graph (11:13)</li><li>Typical problems a graph database is a good solution for (13:00)</li><li>The difference between performance and relational databases (18:41)</li><li>How Neo4j addresses performance and ergonomics (23:30)</li><li>Neo4j and scalability (26:20)</li><li>How Neo4j fits in the modern data stack (31:48)</li><li>Neo4j use cases (35:45)</li><li>Practical implementation of Neo4j (40:51)</li><li>Neo4j’s relationship with open source (45:50)</li></ul><p><i>The</i><a href="https://datastackshow.com/"><i> Data Stack Show</i></a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
      <enclosure length="48784904" type="audio/mpeg" url="https://afp-928695-injected.calisto.simplecastaudio.com/e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c/episodes/9e9a0d62-7db3-4615-9cca-e5911d89368e/audio/128/default.mp3?aid=rss_feed&amp;awCollectionId=e3c6184e-48d3-4aee-9dd0-50ad0b9a5b4c&amp;awEpisodeId=9e9a0d62-7db3-4615-9cca-e5911d89368e&amp;feed=m3Tr79ut"/>
      <itunes:title>38: Graph Databases &amp; Data Governance with David Allen of Neo4j</itunes:title>
      <itunes:author>Rudderstack</itunes:author>
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      <itunes:duration>00:50:48</itunes:duration>
      <itunes:summary>In this week&apos;s episode of The Data Stack Show, Eric and Kostas talk with David Allen, a partner solution architect at Neo4j. Together they discuss writing technical books, integrating something like Neo4j with an existing data stack, and many different use cases for graph databases.</itunes:summary>
      <itunes:subtitle>In this week&apos;s episode of The Data Stack Show, Eric and Kostas talk with David Allen, a partner solution architect at Neo4j. Together they discuss writing technical books, integrating something like Neo4j with an existing data stack, and many different use cases for graph databases.</itunes:subtitle>
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      <title>37: The Components of Data Governance with Dave Melillo of FanDuel</title>
      <description><![CDATA[<p>Highlights from this week's episode include:</p><ul><li>Dave's "nerdy" interests in sports statistics and data (2:12)</li><li>Trends in collecting, processing, and using data (4:45)</li><li>Finding a better term for "reverse ETL" (5:48)</li><li>The blurring of the distinction between sources and destinations (7:41)</li><li>The role of BI is changing (13:24)</li><li>Data governance and the physical execution behind it (19:00)</li><li>Data governance is defining and managing data in a logical way that is actionable by the business (23:43)</li><li>Consolidation of tools and services (28:49)</li><li><a href="https://www.cpard.xyz/posts/the_battle_of_the_data_platform/">Databricks vs. Snowflake</a> (33:49) </li><li>Dave's focus on regulatory data at FanDuel (45:47)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 26 May 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Highlights from this week's episode include:</p><ul><li>Dave's "nerdy" interests in sports statistics and data (2:12)</li><li>Trends in collecting, processing, and using data (4:45)</li><li>Finding a better term for "reverse ETL" (5:48)</li><li>The blurring of the distinction between sources and destinations (7:41)</li><li>The role of BI is changing (13:24)</li><li>Data governance and the physical execution behind it (19:00)</li><li>Data governance is defining and managing data in a logical way that is actionable by the business (23:43)</li><li>Consolidation of tools and services (28:49)</li><li><a href="https://www.cpard.xyz/posts/the_battle_of_the_data_platform/">Databricks vs. Snowflake</a> (33:49) </li><li>Dave's focus on regulatory data at FanDuel (45:47)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>37: The Components of Data Governance with Dave Melillo of FanDuel</itunes:title>
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      <itunes:subtitle>On this week&apos;s episode of The Data Stack Show, Eric and Kostas talk with Dave Melillo, senior manager operational analytics at FanDuel to discuss data governance, finding a better term for reverse ETL, and talking about impending industry consolidation.</itunes:subtitle>
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      <description><![CDATA[<p>On this week's episode of The Data Stack Show, Eric and Kostas talk with Nick Fogle, co-founder of Churnkey and Wavve. Together they discuss how having a legal background can impact engineering decisions, dealing with privacy and compliance concerns, and selling Wavve and starting Churnkey as a result.</p><p>Highlights from this week's episode include: </p><ul><li>Nick's background in economics and law and teaching himself to code (2:01)</li><li>Thinking like a lawyer and trying to minimize risk to the greatest extent possible (4:23)</li><li>GDPR and compliance (8:23)</li><li>Blockchain contracts  (18:26)</li><li>Unique challenges surrounding compliance with a cryptocurrency startup (21:41)</li><li>Reconciling the right to be forgotten, GDPR, and blockchain permanence (27:16)</li><li>Building Churnkey after developing it as a way to lower churn among Wavve users (31:31)</li><li>How Churnkey's stack works (37:16)</li><li>Crypto predictions (39:02)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 19 May 2021 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>On this week's episode of The Data Stack Show, Eric and Kostas talk with Nick Fogle, co-founder of Churnkey and Wavve. Together they discuss how having a legal background can impact engineering decisions, dealing with privacy and compliance concerns, and selling Wavve and starting Churnkey as a result.</p><p>Highlights from this week's episode include: </p><ul><li>Nick's background in economics and law and teaching himself to code (2:01)</li><li>Thinking like a lawyer and trying to minimize risk to the greatest extent possible (4:23)</li><li>GDPR and compliance (8:23)</li><li>Blockchain contracts  (18:26)</li><li>Unique challenges surrounding compliance with a cryptocurrency startup (21:41)</li><li>Reconciling the right to be forgotten, GDPR, and blockchain permanence (27:16)</li><li>Building Churnkey after developing it as a way to lower churn among Wavve users (31:31)</li><li>How Churnkey's stack works (37:16)</li><li>Crypto predictions (39:02)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>This week on The Data Stack Show, Eric and Kostas talk with Jim Walker, the VP of product marketing at Cockroach Labs, about distributed systems, competing against the speed of light, and making data easy.</p><p>Highlights from this week's episode include: </p><ul><li>Jim background of translating deep technical concepts into understandable English and his work at Cockroach Labs (2:23)</li><li>The origin of Cockroach Labs and distributed SQL (6:10) </li><li>Living without Atomic Clocks (10:10)</li><li>Having the speed of light as the ultimate competitor (13:49)</li><li>CockroachDB’s users (19:35)</li><li>Figuring out big data for transactions (25:14)</li><li>Dealing with failure (35:04)</li><li>Open source code, community, and consumption (39:26)</li><li>Making data easy, and what's next for Cockroach (43:12)</li><li>Bringing programming into marketing (46:18)</li></ul><p>Mentioned Links:</p><ul><li><a href="https://research.google/pubs/pub39966/">Spanner White Paper</a></li><li><a href="https://arxiv.org/pdf/2004.05074.pdf">Raft & Paxos</a></li><li><a href="https://en.wikipedia.org/wiki/Michael_Stonebraker">Michael Stonebraker </a></li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 12 May 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>This week on The Data Stack Show, Eric and Kostas talk with Jim Walker, the VP of product marketing at Cockroach Labs, about distributed systems, competing against the speed of light, and making data easy.</p><p>Highlights from this week's episode include: </p><ul><li>Jim background of translating deep technical concepts into understandable English and his work at Cockroach Labs (2:23)</li><li>The origin of Cockroach Labs and distributed SQL (6:10) </li><li>Living without Atomic Clocks (10:10)</li><li>Having the speed of light as the ultimate competitor (13:49)</li><li>CockroachDB’s users (19:35)</li><li>Figuring out big data for transactions (25:14)</li><li>Dealing with failure (35:04)</li><li>Open source code, community, and consumption (39:26)</li><li>Making data easy, and what's next for Cockroach (43:12)</li><li>Bringing programming into marketing (46:18)</li></ul><p>Mentioned Links:</p><ul><li><a href="https://research.google/pubs/pub39966/">Spanner White Paper</a></li><li><a href="https://arxiv.org/pdf/2004.05074.pdf">Raft & Paxos</a></li><li><a href="https://en.wikipedia.org/wiki/Michael_Stonebraker">Michael Stonebraker </a></li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>On this week's episode of The Data Stack Show, Eric and Kostas talk with John Marbach, senior growth manager at Grafana Labs. In this conversation, John discusses marketing ops and the blending of roles of data engineering and marketing.</p><p>Highlights from this week's episode include:</p><ul><li>Grafana Labs John Marbach Senior Growth Manager</li><li>Introduction to John Marbach and working in the blurred lines between marketing and data engineering (2:14)</li><li>How managing pipeline building and consuming data influences the use of downstream tools (6:28)</li><li>Experiments in marketing (11:28)</li><li>Exploring the role of marketing ops (15:35)</li><li>How accruing technical debt can grind things to a halt (20:35)</li><li>Matching the stack with the company's scale (24:48)</li><li>CDPs and marketing to developers (28:40)</li><li>Biggest challenges and barriers between data engineering and marketing (35:19)</li><li>Takes on reverse ETL (39:07)</li><li>Thoughts on cryptocurrency and the blockchain (44:08)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 28 Apr 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>On this week's episode of The Data Stack Show, Eric and Kostas talk with John Marbach, senior growth manager at Grafana Labs. In this conversation, John discusses marketing ops and the blending of roles of data engineering and marketing.</p><p>Highlights from this week's episode include:</p><ul><li>Grafana Labs John Marbach Senior Growth Manager</li><li>Introduction to John Marbach and working in the blurred lines between marketing and data engineering (2:14)</li><li>How managing pipeline building and consuming data influences the use of downstream tools (6:28)</li><li>Experiments in marketing (11:28)</li><li>Exploring the role of marketing ops (15:35)</li><li>How accruing technical debt can grind things to a halt (20:35)</li><li>Matching the stack with the company's scale (24:48)</li><li>CDPs and marketing to developers (28:40)</li><li>Biggest challenges and barriers between data engineering and marketing (35:19)</li><li>Takes on reverse ETL (39:07)</li><li>Thoughts on cryptocurrency and the blockchain (44:08)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <title>33: ML is a Data Quality Problem with Peter Gao from Aquarium Learning</title>
      <description><![CDATA[<p>On this week's episode of The Data Stack Show, Eric and Kostas talk with Peter Gao, co-founder, and CEO at Aquarium Learning. A former engineer at Cruise Automation, Peter and Aquarium Learning help ML teams improve their model performances by improving their data.</p><p>Highlights from this week's episode include:</p><ul><li>How getting hit by a drunk driver made researching self-driving cars personal for Peter (2:12)</li><li>Filtering out the hype in self-driving car news to get a clear picture of its state today (6:52)</li><li>The data required for a self-driving vehicle (13:56)</li><li>Operation Vacation and how Aquarium can help provide the tools to make models better (16:53)</li><li>Utilizing neural networks to index data (20:41)</li><li>How Aquarium fits in the ML stack (30:25)</li><li>Interesting use cases of Aquarium (33:59)</li><li>Distinguishing subclasses of machine learning (40:05)</li><li>Human involvement in machine learning (46:13)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 14 Apr 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>On this week's episode of The Data Stack Show, Eric and Kostas talk with Peter Gao, co-founder, and CEO at Aquarium Learning. A former engineer at Cruise Automation, Peter and Aquarium Learning help ML teams improve their model performances by improving their data.</p><p>Highlights from this week's episode include:</p><ul><li>How getting hit by a drunk driver made researching self-driving cars personal for Peter (2:12)</li><li>Filtering out the hype in self-driving car news to get a clear picture of its state today (6:52)</li><li>The data required for a self-driving vehicle (13:56)</li><li>Operation Vacation and how Aquarium can help provide the tools to make models better (16:53)</li><li>Utilizing neural networks to index data (20:41)</li><li>How Aquarium fits in the ML stack (30:25)</li><li>Interesting use cases of Aquarium (33:59)</li><li>Distinguishing subclasses of machine learning (40:05)</li><li>Human involvement in machine learning (46:13)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <title>32: Cooking with Data Ops with Chris Bergh from DataKitchen</title>
      <description><![CDATA[<p>On this week's episode of The Data Stack Show, Eric and Kostas talk with Chris Bergh, the CEO and head chef at Data Kitchen. DataKitchen’s mission is to provide the software, service, and knowledge that makes it possible for every data and analytics team to realize their full potential with DataOps.</p><p>Highlights from this week's episode include: </p><ul><li>Chris' background and how the lessons learned in the Peace Corps and at NASA apply to him today (2:03)</li><li>Why AI left Chris feeling like a jilted lover (7:49)</li><li>Most projects that people do in data analytics fail (10:12)</li><li>Three things that DataOps focuses on (16:37)</li><li>Comparing and contrasting DevOps and DataOps (22:30)</li><li>The types of data that DataKitchen handles and building a product or a service around DataOps (29:29)</li><li>Fixing problems at the source instead of just offering a tool to slightly improve things downstream (37:17)</li><li>Where we are at in the process of how companies are going to run on data (41:43)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 7 Apr 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>On this week's episode of The Data Stack Show, Eric and Kostas talk with Chris Bergh, the CEO and head chef at Data Kitchen. DataKitchen’s mission is to provide the software, service, and knowledge that makes it possible for every data and analytics team to realize their full potential with DataOps.</p><p>Highlights from this week's episode include: </p><ul><li>Chris' background and how the lessons learned in the Peace Corps and at NASA apply to him today (2:03)</li><li>Why AI left Chris feeling like a jilted lover (7:49)</li><li>Most projects that people do in data analytics fail (10:12)</li><li>Three things that DataOps focuses on (16:37)</li><li>Comparing and contrasting DevOps and DataOps (22:30)</li><li>The types of data that DataKitchen handles and building a product or a service around DataOps (29:29)</li><li>Fixing problems at the source instead of just offering a tool to slightly improve things downstream (37:17)</li><li>Where we are at in the process of how companies are going to run on data (41:43)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>On this week's episode of The Data Stack Show, Eric and Kostas chat with Jenna Lemonias, director of data science at The Atlantic. The Atlantic, a publication that's been around since 1857, is adapting with the times and is implementing and emulating some of the data science practices seen at big tech companies. </p><p>Highlights from this week's episode include:</p><ul><li>Jenna's background in astrophysics and how she pivoted to data science (2:14)</li><li>Differences in dealing with data at a FinTech company and then at a publication (4:40)</li><li>The relationship between analog and digital data at The Atlantic (9:22)</li><li>How The Atlantic structures its data science team (11:44)</li><li>The role data engineering plays (14:42)</li><li>Using natural language processing and machine-generated metadata (17:37)</li><li>The Atlantic's data stack (28:22)</li><li>The kind of data that's important to The Atlantic (29:44)</li><li>Big projects forthcoming for the data science team (37:13)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 31 Mar 2021 18:09:27 +0000</pubDate>
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      <content:encoded><![CDATA[<p>On this week's episode of The Data Stack Show, Eric and Kostas chat with Jenna Lemonias, director of data science at The Atlantic. The Atlantic, a publication that's been around since 1857, is adapting with the times and is implementing and emulating some of the data science practices seen at big tech companies. </p><p>Highlights from this week's episode include:</p><ul><li>Jenna's background in astrophysics and how she pivoted to data science (2:14)</li><li>Differences in dealing with data at a FinTech company and then at a publication (4:40)</li><li>The relationship between analog and digital data at The Atlantic (9:22)</li><li>How The Atlantic structures its data science team (11:44)</li><li>The role data engineering plays (14:42)</li><li>Using natural language processing and machine-generated metadata (17:37)</li><li>The Atlantic's data stack (28:22)</li><li>The kind of data that's important to The Atlantic (29:44)</li><li>Big projects forthcoming for the data science team (37:13)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>On this week’s episode of The Data Stack Show, Eric and Kostas are joined by the co-founders of Big Time Data, Rachel Bradley-Haas, and Alex Dovenmuehle, formerly of Mattermost and prior to that, Heroku. At Big Time Data, they work together to provide companies with the ability to derive value and insights from decentralized datasets, improve business processes through data enrichment and automation, and build a scalable foundation to enable a data-driven culture.</p><p>Highlights from this week’s episode include:</p><ul><li>Rachel and Alex's background and their goal to make data approachable for companies everywhere (3:09)</li><li>The data stack journey: making decisions when you're small that allow you to grow with your data and your organization (12:28)</li><li>The problems faced when a data stack isn't nurtured early on (15:59)</li><li>Changes in data stack technology (21:32)</li><li>How Alex and Rachel's roles at Big Time Data differ and interact with each other (39:00)</li><li>Client use cases (43:34)</li><li>Comparing the stacks of seed-stage startups, mid-sized companies, and giant enterprises (48:54)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 24 Mar 2021 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>On this week’s episode of The Data Stack Show, Eric and Kostas are joined by the co-founders of Big Time Data, Rachel Bradley-Haas, and Alex Dovenmuehle, formerly of Mattermost and prior to that, Heroku. At Big Time Data, they work together to provide companies with the ability to derive value and insights from decentralized datasets, improve business processes through data enrichment and automation, and build a scalable foundation to enable a data-driven culture.</p><p>Highlights from this week’s episode include:</p><ul><li>Rachel and Alex's background and their goal to make data approachable for companies everywhere (3:09)</li><li>The data stack journey: making decisions when you're small that allow you to grow with your data and your organization (12:28)</li><li>The problems faced when a data stack isn't nurtured early on (15:59)</li><li>Changes in data stack technology (21:32)</li><li>How Alex and Rachel's roles at Big Time Data differ and interact with each other (39:00)</li><li>Client use cases (43:34)</li><li>Comparing the stacks of seed-stage startups, mid-sized companies, and giant enterprises (48:54)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Matthew Housley, CTO, and Joe Reis, CEO and co-founder of Ternary Data. These self-described “recovering data scientists” focus on teaching skills to build a solid foundation for organizations to work with their data.</p><p>Highlights from this week’s episode include:</p><ul><li>Joe and Matt’s background and expertise (2:44)</li><li>Common threads and trends in the data sphere (9:39)</li><li>Differences and commonalities between startups and enterprises and the way they deal with data (18:28)</li><li>Discussing how the role of data engineering has evolved over the years and what it might morph into in the near future (27:52)</li><li>The ideal data infrastructure and what future shifts excite them (39:52)</li><li>How ML is shaping the data space (44:30)</li><li>The state of real time (49:56)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 17 Mar 2021 14:43:50 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Matthew Housley, CTO, and Joe Reis, CEO and co-founder of Ternary Data. These self-described “recovering data scientists” focus on teaching skills to build a solid foundation for organizations to work with their data.</p><p>Highlights from this week’s episode include:</p><ul><li>Joe and Matt’s background and expertise (2:44)</li><li>Common threads and trends in the data sphere (9:39)</li><li>Differences and commonalities between startups and enterprises and the way they deal with data (18:28)</li><li>Discussing how the role of data engineering has evolved over the years and what it might morph into in the near future (27:52)</li><li>The ideal data infrastructure and what future shifts excite them (39:52)</li><li>How ML is shaping the data space (44:30)</li><li>The state of real time (49:56)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Stefanía Bjarney Ólafsdóttir, the CEO and co-founder of Avo. Avo, which started in 2018, provides data analytics governance as a service, helping organizations make data-driven decisions to improve their customer experience.</p><p>Highlights from this week’s episode include:</p><ul><li>Stefania's background with mathematics, philosophy, bioinformatics and consumer mobile (2:39)</li><li>Making pioneering decisions as head of data science at QuizUp (8:34)</li><li>Is less more? Choosing fundamental parts of the customer experience and understanding them very well (16:56)</li><li>Bringing data consumers closer to data producers (18:34)</li><li>Avo mission to provide analytics governance as a service (25:09)</li><li>Avo use cases (36:37)</li><li>Focusing on event-based data (44:29)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 10 Mar 2021 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Stefanía Bjarney Ólafsdóttir, the CEO and co-founder of Avo. Avo, which started in 2018, provides data analytics governance as a service, helping organizations make data-driven decisions to improve their customer experience.</p><p>Highlights from this week’s episode include:</p><ul><li>Stefania's background with mathematics, philosophy, bioinformatics and consumer mobile (2:39)</li><li>Making pioneering decisions as head of data science at QuizUp (8:34)</li><li>Is less more? Choosing fundamental parts of the customer experience and understanding them very well (16:56)</li><li>Bringing data consumers closer to data producers (18:34)</li><li>Avo mission to provide analytics governance as a service (25:09)</li><li>Avo use cases (36:37)</li><li>Focusing on event-based data (44:29)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Mike Luby, director of engineering at LeafLink. LeafLink is a cannabis industries B2B wholesale marketplace where thousands of brands can manage and track their orders and relationships.</p><p>Highlights from this week’s episode include:</p><ul><li>The infrastructure LeafLink provides for the cannabis supply chain and how it deals with compliance issues. (2:03)</li><li>Structuring product management organization to launch high-velocity teams (8:08)</li><li>How it started vs. How it's going (12:00)</li><li>Containerization and leveraging AWS tools for LeafLink's stack (13:19)</li><li>Shifting to an event-driven architecture (24:46)</li><li>Using APIs to provide critical integrations for customers to automate and optimize their businesses (32:47)</li><li>Keeping an eye for the future but building for today (36:56)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 3 Mar 2021 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Mike Luby, director of engineering at LeafLink. LeafLink is a cannabis industries B2B wholesale marketplace where thousands of brands can manage and track their orders and relationships.</p><p>Highlights from this week’s episode include:</p><ul><li>The infrastructure LeafLink provides for the cannabis supply chain and how it deals with compliance issues. (2:03)</li><li>Structuring product management organization to launch high-velocity teams (8:08)</li><li>How it started vs. How it's going (12:00)</li><li>Containerization and leveraging AWS tools for LeafLink's stack (13:19)</li><li>Shifting to an event-driven architecture (24:46)</li><li>Using APIs to provide critical integrations for customers to automate and optimize their businesses (32:47)</li><li>Keeping an eye for the future but building for today (36:56)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <title>26: Democratizing the Insurance Market with Daniel Gremmell from Policygenius Inc.</title>
      <description><![CDATA[<p>On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Daniel Gremymell, head of data at Policygenius, Inc. Policygenius, an insurance marketplace, strives to make it easy for people to understand their options, compare quotes, and buy a policy all in one place with help from licensed experts.</p><p>Highlights from this week’s episode include:</p><ul><li>What brought Daniel to Policygenius and how his background in industrial engineering and statistics impacts what he does (1:49)</li><li>Policygenius consolidates carriers and pairs insurance customers with live experts to get the best prices and plans (6:29)</li><li>How data analysts and data scientists re-shape the customer experience of selecting insurance (10:36)</li><li>How roles and titles like "head of data" are changing the industry (24:32)</li><li>Organizing a company with structured embedding (27:28) </li><li>Policygenius' data stack (31:31)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 24 Feb 2021 16:57:16 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>On this week’s episode of The Data Stack Show, Eric and Kostas are joined by Daniel Gremymell, head of data at Policygenius, Inc. Policygenius, an insurance marketplace, strives to make it easy for people to understand their options, compare quotes, and buy a policy all in one place with help from licensed experts.</p><p>Highlights from this week’s episode include:</p><ul><li>What brought Daniel to Policygenius and how his background in industrial engineering and statistics impacts what he does (1:49)</li><li>Policygenius consolidates carriers and pairs insurance customers with live experts to get the best prices and plans (6:29)</li><li>How data analysts and data scientists re-shape the customer experience of selecting insurance (10:36)</li><li>How roles and titles like "head of data" are changing the industry (24:32)</li><li>Organizing a company with structured embedding (27:28) </li><li>Policygenius' data stack (31:31)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>On this week’s episode of The Data Stack Show, Kostas is joined by Willem Pienaar, tech lead at Tecton to discuss machine learning, features and feature stores.</p><p>Highlights from this week’s episode include:</p><ul><li>Willem Pienaar's background in South Africa and southeast Asia and from Goject to Tecton (1:58)</li><li>Tecton was founded by the builders of Uber's Michaelangelo (6:37)</li><li>Defining features and their life cycles (10:05)</li><li>Comparing a feature store to a database (16:40)</li><li>Data architecture in a feature store (26:16)</li><li>How feature stores evolve as a company expands (30:12)</li><li>Main touchpoints between the feature and the data infrastructure (37:59)</li><li>How Tecton manages productizing complex architectures (41:44)</li><li>How Feast and Tecton work together (45:12)</li><li>Tecton impressing VCs and preparing for a competitive, emerging market (48:14)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 17 Feb 2021 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>On this week’s episode of The Data Stack Show, Kostas is joined by Willem Pienaar, tech lead at Tecton to discuss machine learning, features and feature stores.</p><p>Highlights from this week’s episode include:</p><ul><li>Willem Pienaar's background in South Africa and southeast Asia and from Goject to Tecton (1:58)</li><li>Tecton was founded by the builders of Uber's Michaelangelo (6:37)</li><li>Defining features and their life cycles (10:05)</li><li>Comparing a feature store to a database (16:40)</li><li>Data architecture in a feature store (26:16)</li><li>How feature stores evolve as a company expands (30:12)</li><li>Main touchpoints between the feature and the data infrastructure (37:59)</li><li>How Tecton manages productizing complex architectures (41:44)</li><li>How Feast and Tecton work together (45:12)</li><li>Tecton impressing VCs and preparing for a competitive, emerging market (48:14)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>On this week’s episode of The Data Stack Show, Eric is joined by Duc Haba, an AI researcher and enterprise mobility solution architect consultant who most recently did AI consulting work with Cognizant. Their discussion revolves around demystifying artificial intelligence and why so many people either fear AI or place too much trust in it. Duc talks about some of the AI projects he has worked on, some successes and some failures, and points to how the data biases that humans bring into the models can radically alter the outcome of those endeavors.</p><p>Highlights from this week’s episode include:</p><ul><li>Duc's background with AI and getting to work with LeVar Burton (1:44)</li><li>Demystifying AI and coming up with a definition for it (3:34)</li><li>Misplaced fears of AI (7:53)</li><li>Misplaced trust in AI (10:36)</li><li>Public versus hidden AI (13:58)</li><li>Acquiring the data needed for to train AI models (23:11)</li><li>Examples of interesting AI projects Duc has worked on (27:58)</li><li>Where to go to learn more about AI (35:06)</li><li>Thinking of AI as something that can help your business do something better with what it's already been doing (39:53)</li><li>Anticipating the near-future of AI (44:16)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 10 Feb 2021 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>On this week’s episode of The Data Stack Show, Eric is joined by Duc Haba, an AI researcher and enterprise mobility solution architect consultant who most recently did AI consulting work with Cognizant. Their discussion revolves around demystifying artificial intelligence and why so many people either fear AI or place too much trust in it. Duc talks about some of the AI projects he has worked on, some successes and some failures, and points to how the data biases that humans bring into the models can radically alter the outcome of those endeavors.</p><p>Highlights from this week’s episode include:</p><ul><li>Duc's background with AI and getting to work with LeVar Burton (1:44)</li><li>Demystifying AI and coming up with a definition for it (3:34)</li><li>Misplaced fears of AI (7:53)</li><li>Misplaced trust in AI (10:36)</li><li>Public versus hidden AI (13:58)</li><li>Acquiring the data needed for to train AI models (23:11)</li><li>Examples of interesting AI projects Duc has worked on (27:58)</li><li>Where to go to learn more about AI (35:06)</li><li>Thinking of AI as something that can help your business do something better with what it's already been doing (39:53)</li><li>Anticipating the near-future of AI (44:16)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>On this week’s episode of The Data Stack Show, Kostas and Eric are joined by the risk data engineering manager at Intuit, Alex Lancaster. Alex has been with Intuit, known for its products like QuickBooks, TurboTax, Mint and more, for 15 years and was part of a recent massive and successful re-architecturing from on prem to cloud-based.</p><p>Highlights from this week’s episode include:</p><ul><li>Alex and his role at Intuit (1:51)</li><li>Data marts at Intuit (2:57)</li><li>Revolutionary changes in the data engineering space in the past 15 years (6:46)</li><li>Security in the cloud vs. on prem (12:46)</li><li>Data architecture at Intuit (15:42)</li><li>Doing ETLs inside or outside of the database (19:11)</li><li>How to transition successfully from on prem to cloud. Forklifting vs. re-stacking (23:22)</li><li>Alex’s application of software engineering skills to data engineering (28:44)</li><li>Dealing with data engineering challenges related to security and regulation (31:48)</li><li>Pipelines managed and challenges in data types (36:45)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 3 Feb 2021 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>On this week’s episode of The Data Stack Show, Kostas and Eric are joined by the risk data engineering manager at Intuit, Alex Lancaster. Alex has been with Intuit, known for its products like QuickBooks, TurboTax, Mint and more, for 15 years and was part of a recent massive and successful re-architecturing from on prem to cloud-based.</p><p>Highlights from this week’s episode include:</p><ul><li>Alex and his role at Intuit (1:51)</li><li>Data marts at Intuit (2:57)</li><li>Revolutionary changes in the data engineering space in the past 15 years (6:46)</li><li>Security in the cloud vs. on prem (12:46)</li><li>Data architecture at Intuit (15:42)</li><li>Doing ETLs inside or outside of the database (19:11)</li><li>How to transition successfully from on prem to cloud. Forklifting vs. re-stacking (23:22)</li><li>Alex’s application of software engineering skills to data engineering (28:44)</li><li>Dealing with data engineering challenges related to security and regulation (31:48)</li><li>Pipelines managed and challenges in data types (36:45)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>Season One of The Data Stack Show is in the books, and in this episode, Kostas and Eric take a look back at some of the biggest takeaways, trends, and topics from the season. With some great guests already set for season two, the next slate of episodes is shaping up to take an even deeper dive into the world of data and the people shaping it.</p><p>Key points in the conversation include:</p><ul><li>Patterns with data warehouses and data lakes (3:38)</li><li>Looking back at the people behind the data and their stories (8:12)</li><li>Minimizing flaws while remembering that data is built by humans, for humans (11:02) </li><li>Using proven technology and making mature solutions (15:20)</li><li>Data involves a significant amount of trust (23:38)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Fri, 29 Jan 2021 16:46:37 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>Season One of The Data Stack Show is in the books, and in this episode, Kostas and Eric take a look back at some of the biggest takeaways, trends, and topics from the season. With some great guests already set for season two, the next slate of episodes is shaping up to take an even deeper dive into the world of data and the people shaping it.</p><p>Key points in the conversation include:</p><ul><li>Patterns with data warehouses and data lakes (3:38)</li><li>Looking back at the people behind the data and their stories (8:12)</li><li>Minimizing flaws while remembering that data is built by humans, for humans (11:02) </li><li>Using proven technology and making mature solutions (15:20)</li><li>Data involves a significant amount of trust (23:38)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>22: Season One Recap with Eric Dodds and Kostas Pardalis</itunes:title>
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      <title>21: Data Integrity and Governance with Patrick Thompson and Ondrej Hrebicek from Iteratively</title>
      <description><![CDATA[<p>On this week’s episode of The Data Stack Show, Kostas and Eric are joined by the co-founders of Iteratively, CEO Patrick Thompson and CTO Ondrej Hrebicek. Iteratively helps companies know that their data can be trusted by helping capture clean, consistent product analytics. Today’s conversation digs into the behind the scenes of Iteratively and how trust in data can help accelerate the velocity of an organization.</p><p>Highlights from this week’s episode include:</p><ul><li>Patrick and Ondrej’s background and the biggest problem Iteratively addresses (2:50)</li><li>Why some companies still use spreadsheet schema management and the potential pitfalls they’re setting themselves up for with this (4:39)</li><li>Defining schema in the context of data (7:02)</li><li>Viewing the process as a team sport (11:34)</li><li>Identifying common mistakes and implementing best practices (13:46)</li><li>A walkthrough of Iteratively (17:13)</li><li>Utilizing a JSON schema format (26:58)</li><li>Laying Iteratively on top of or integrating it with an implementation for analytics (30:36)</li><li>Entry point into organizations (33:02)</li><li>Organizational change and velocity realized after implementing Iteratively (36:04)</li><li>What’s next for Iteratively? (42:47)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 20 Jan 2021 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>On this week’s episode of The Data Stack Show, Kostas and Eric are joined by the co-founders of Iteratively, CEO Patrick Thompson and CTO Ondrej Hrebicek. Iteratively helps companies know that their data can be trusted by helping capture clean, consistent product analytics. Today’s conversation digs into the behind the scenes of Iteratively and how trust in data can help accelerate the velocity of an organization.</p><p>Highlights from this week’s episode include:</p><ul><li>Patrick and Ondrej’s background and the biggest problem Iteratively addresses (2:50)</li><li>Why some companies still use spreadsheet schema management and the potential pitfalls they’re setting themselves up for with this (4:39)</li><li>Defining schema in the context of data (7:02)</li><li>Viewing the process as a team sport (11:34)</li><li>Identifying common mistakes and implementing best practices (13:46)</li><li>A walkthrough of Iteratively (17:13)</li><li>Utilizing a JSON schema format (26:58)</li><li>Laying Iteratively on top of or integrating it with an implementation for analytics (30:36)</li><li>Entry point into organizations (33:02)</li><li>Organizational change and velocity realized after implementing Iteratively (36:04)</li><li>What’s next for Iteratively? (42:47)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>21: Data Integrity and Governance with Patrick Thompson and Ondrej Hrebicek from Iteratively</itunes:title>
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      <description><![CDATA[<p>This week on The Data Stack Show, Kostas and Eric are joined by Arian Osman, a senior data scientist at Homesnap who is also nearing the end of his PhD in computational sciences and informatics and is the developer of an e-commerce clothing brand. Homesnap is designed for both homebuyers and agents to access data from the MLS (Multiple Listing Service), providing real-time, accurate information to all parties involved.</p><p>Highlights from this week’s episode include:</p><ul><li>Arian’s background and an overview of Homesnap (2:30)</li><li>Utilizing data in Arian’s e-commerce clothing brand (7:14)</li><li>Homesnap’s sell speed feature and visualizing outputs (13:28)</li><li>The psychology that drives upper and lower limits (19:33)</li><li>Deciding the life-cycle of a model (25:50)</li><li>Collaborating with internal stakeholders (30:47)</li><li>Unique challenges of data in the real estate domain (38:16)</li><li>Useful third-party tools (43:33)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 13 Jan 2021 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>This week on The Data Stack Show, Kostas and Eric are joined by Arian Osman, a senior data scientist at Homesnap who is also nearing the end of his PhD in computational sciences and informatics and is the developer of an e-commerce clothing brand. Homesnap is designed for both homebuyers and agents to access data from the MLS (Multiple Listing Service), providing real-time, accurate information to all parties involved.</p><p>Highlights from this week’s episode include:</p><ul><li>Arian’s background and an overview of Homesnap (2:30)</li><li>Utilizing data in Arian’s e-commerce clothing brand (7:14)</li><li>Homesnap’s sell speed feature and visualizing outputs (13:28)</li><li>The psychology that drives upper and lower limits (19:33)</li><li>Deciding the life-cycle of a model (25:50)</li><li>Collaborating with internal stakeholders (30:47)</li><li>Unique challenges of data in the real estate domain (38:16)</li><li>Useful third-party tools (43:33)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>This week on The Data Stack Show, Kostas and Eric are joined by Stephen Bailey, Director of Applied Data Science at Immuta. Immuta is a startup that focuses on enabling data teams to have really fast, efficient, and understandable access controls on their data. </p><p>Highlights from this week’s episode include:</p><ul><li>The problem that Immuta solves (2:04)</li><li>Stephen’s background researching how the brain works (4:56)</li><li>Immuta’s stack (15:09)</li><li>Leveraging metadata (18:02)</li><li>The main use case for Immuta is simplifying the access control layer (20:06)</li><li>Unifying data (31:52)</li><li>Defining the quality of data (34:04)</li><li>Learning to trust the numbers (39:42)</li><li>What’s next for Immuta (46:15)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 6 Jan 2021 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on The Data Stack Show, Kostas and Eric are joined by Stephen Bailey, Director of Applied Data Science at Immuta. Immuta is a startup that focuses on enabling data teams to have really fast, efficient, and understandable access controls on their data. </p><p>Highlights from this week’s episode include:</p><ul><li>The problem that Immuta solves (2:04)</li><li>Stephen’s background researching how the brain works (4:56)</li><li>Immuta’s stack (15:09)</li><li>Leveraging metadata (18:02)</li><li>The main use case for Immuta is simplifying the access control layer (20:06)</li><li>Unifying data (31:52)</li><li>Defining the quality of data (34:04)</li><li>Learning to trust the numbers (39:42)</li><li>What’s next for Immuta (46:15)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>19: Defining Data Governance with Stephen Bailey from Immuta</itunes:title>
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      <description><![CDATA[<p>This week on The Data Stack Show, Kostas and Eric are joined by Jason Haupt, data science lead at Bind, a no-deductible health insurance company determined to give immediate answers and clear costs before point of care. Jason’s unique background of having a Ph.D. in particle physics and working at the Large Hadron Collider at CERN have informed the way he goes about approaching data at Bind.</p><p>Highlights from this week’s episode include:</p><ul><li>Jason’s background in particle physics and his path to Bind (2:53)</li><li>A cloud-only approach to data and utilizing AWS (9:01)</li><li>Focusing on activities that help its members (12:08)</li><li>Dealing with 12,000 columns of data from an insurance claim form (17:13)</li><li>Rethinking the relationship between marketing and product teams (25:28)</li><li>Examining the data pipeline (29:30)</li><li>Privacy and security concerns with medical information (35:45)</li><li>How experience with the LHC impacted the way he thinks about data (40:06)</li><li>Transition from academic work to industry (46:20)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Thu, 31 Dec 2020 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>This week on The Data Stack Show, Kostas and Eric are joined by Jason Haupt, data science lead at Bind, a no-deductible health insurance company determined to give immediate answers and clear costs before point of care. Jason’s unique background of having a Ph.D. in particle physics and working at the Large Hadron Collider at CERN have informed the way he goes about approaching data at Bind.</p><p>Highlights from this week’s episode include:</p><ul><li>Jason’s background in particle physics and his path to Bind (2:53)</li><li>A cloud-only approach to data and utilizing AWS (9:01)</li><li>Focusing on activities that help its members (12:08)</li><li>Dealing with 12,000 columns of data from an insurance claim form (17:13)</li><li>Rethinking the relationship between marketing and product teams (25:28)</li><li>Examining the data pipeline (29:30)</li><li>Privacy and security concerns with medical information (35:45)</li><li>How experience with the LHC impacted the way he thinks about data (40:06)</li><li>Transition from academic work to industry (46:20)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>18: Data Science in Health Insurance with Jason Haupt of Bind</itunes:title>
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      <description><![CDATA[<p>This week on The Data Stack Show, Kostas and Eric are joined by Ioannis Papapanagiotou, senior engineering manager at Netflix. Ioannis oversees Netflix’s data storage platform and its data integration platform. Their conversation highlighted the various responsibilities his lean teams have, utilizing open source technology and incorporating change data capture solutions.</p><p>Key points in this week’s episode include:</p><ul><li>Ioannis’ background with academia and Netflix (4:42)</li><li>Comparing the data storage and data integration teams (6:19)</li><li>Discussing indexing and encryption (20:31)</li><li>Netflix’s role in the open source community (27:21)</li><li>Implementing change data capture (40:42)</li><li>Using Bulldozer to efficiently move data in batches from data warehouse tables to key-value stores (42:43)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 9 Dec 2020 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>This week on The Data Stack Show, Kostas and Eric are joined by Ioannis Papapanagiotou, senior engineering manager at Netflix. Ioannis oversees Netflix’s data storage platform and its data integration platform. Their conversation highlighted the various responsibilities his lean teams have, utilizing open source technology and incorporating change data capture solutions.</p><p>Key points in this week’s episode include:</p><ul><li>Ioannis’ background with academia and Netflix (4:42)</li><li>Comparing the data storage and data integration teams (6:19)</li><li>Discussing indexing and encryption (20:31)</li><li>Netflix’s role in the open source community (27:21)</li><li>Implementing change data capture (40:42)</li><li>Using Bulldozer to efficiently move data in batches from data warehouse tables to key-value stores (42:43)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>17: Working with Data at Netflix with Ioannis Papapanagiotou</itunes:title>
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      <title>16: Applying the Event Sourcing Pattern at Scale with Andrew Elster from Earnnest</title>
      <description><![CDATA[<p>On this week’s episode of The Data Stack Show, Kostas and Eric finish part two of a conversation about Earnnest, a digital platform originally designed for facilitating real estate transactions. <a href="https://datastackshow.com/podcast/14-breaking-down-electronic-money-transfers-and-modernizing-real-estate-transactions-with-dan-jeffords-of-earnnest/">In the previous episode</a>, they talked with the CTO and co-founder Daniel Jeffords, and in this week’s episode, they talked with the other co-founder, Andrew Elster, CIO and chief architect. Andrew describes more about Earnnest’s stack and their decision to utilize Elixir and talks about their vision for scaling up their product.</p><p>Key topics in the conversation include:</p><ul><li>Andrew’s journey from electrical engineering, to avoiding pirates in oceanic oil exploration, to starting Earnnest (2:57)</li><li>Keeping the platform flexible to expand beyond real estate transactions (10:24)</li><li>Being adaptable to support existing workflows (18:33)</li><li>The evolution of the database and implementing event sourcing (25:01)</li><li>Using a functional language like Elixir (30:54)</li><li>Developing Earnnest with scale in mind (37:33)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Thu, 3 Dec 2020 09:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>On this week’s episode of The Data Stack Show, Kostas and Eric finish part two of a conversation about Earnnest, a digital platform originally designed for facilitating real estate transactions. <a href="https://datastackshow.com/podcast/14-breaking-down-electronic-money-transfers-and-modernizing-real-estate-transactions-with-dan-jeffords-of-earnnest/">In the previous episode</a>, they talked with the CTO and co-founder Daniel Jeffords, and in this week’s episode, they talked with the other co-founder, Andrew Elster, CIO and chief architect. Andrew describes more about Earnnest’s stack and their decision to utilize Elixir and talks about their vision for scaling up their product.</p><p>Key topics in the conversation include:</p><ul><li>Andrew’s journey from electrical engineering, to avoiding pirates in oceanic oil exploration, to starting Earnnest (2:57)</li><li>Keeping the platform flexible to expand beyond real estate transactions (10:24)</li><li>Being adaptable to support existing workflows (18:33)</li><li>The evolution of the database and implementing event sourcing (25:01)</li><li>Using a functional language like Elixir (30:54)</li><li>Developing Earnnest with scale in mind (37:33)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <itunes:title>16: Applying the Event Sourcing Pattern at Scale with Andrew Elster from Earnnest</itunes:title>
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      <title>15: Early Stage Analytics and Learning from the Y Combinator Experience with Axel Delafosse from Pool</title>
      <description><![CDATA[<p>This week on The Data Stack Show, Kostas and Eric are joined by Axel Delafosse, founder and CEO of Pool, a messaging app designed to help couples spend less time deciding what to do and spend more time together. Axel shares his story of how he went from having his idea being shot down in person by Paul Graham to being accepted for Y Combinator. While Pool is still a young startup, Axel offers wise insight from lessons he’s learned along the way.</p><p>Highlights from this week’s episode include:</p><ul><li>Pool Messenger, “the ultimate antidote to decision paralysis” (2:50)</li><li>Pitching to Paul Graham and applying to YC (6:17)</li><li>The importance of the co-founder relationship (14:01)</li><li>The YC experience and losing Facebook’s API (17:37)</li><li>Products die, relationships last (22:05)</li><li>Breaking down the data stack (28:50)</li><li>Using data and conversations with users to evaluate the experience (36:12)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Thu, 19 Nov 2020 17:25:24 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>This week on The Data Stack Show, Kostas and Eric are joined by Axel Delafosse, founder and CEO of Pool, a messaging app designed to help couples spend less time deciding what to do and spend more time together. Axel shares his story of how he went from having his idea being shot down in person by Paul Graham to being accepted for Y Combinator. While Pool is still a young startup, Axel offers wise insight from lessons he’s learned along the way.</p><p>Highlights from this week’s episode include:</p><ul><li>Pool Messenger, “the ultimate antidote to decision paralysis” (2:50)</li><li>Pitching to Paul Graham and applying to YC (6:17)</li><li>The importance of the co-founder relationship (14:01)</li><li>The YC experience and losing Facebook’s API (17:37)</li><li>Products die, relationships last (22:05)</li><li>Breaking down the data stack (28:50)</li><li>Using data and conversations with users to evaluate the experience (36:12)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>This week on The Data Stack Show, Kostas and Eric chat with Daniel Jeffords, CTO and co-founder of <a href="https://earnnest.com/">Earnnest</a>, a financial tool for the real estate industry. Earnnest’s digital platform allows buyers to securely and electronically deposit funds directly to an escrow holder and keeps agents, buyers, and escrow holders in the loop with automated emails and tracking information.</p><p>Highlights from this week’s episode include:</p><ul><li>Earnnest’s approach to the way payments are handled in an antiquated real estate industry (2:12)</li><li>Clearing up the differences in the way money changes hands, ACH, wire, and checks (12:39)</li><li>How Earnnest works and who are the involved parties (21:06)</li><li>Disrupting a highly regulated industry (24:24)</li><li>Emphasizing security and transparency (30:09)</li><li>Erlang, Elixir, Dwolla and more. How Earnnest uses data (33:40)</li><li>Trying very hard to store very little data (42:58)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 11 Nov 2020 09:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>This week on The Data Stack Show, Kostas and Eric chat with Daniel Jeffords, CTO and co-founder of <a href="https://earnnest.com/">Earnnest</a>, a financial tool for the real estate industry. Earnnest’s digital platform allows buyers to securely and electronically deposit funds directly to an escrow holder and keeps agents, buyers, and escrow holders in the loop with automated emails and tracking information.</p><p>Highlights from this week’s episode include:</p><ul><li>Earnnest’s approach to the way payments are handled in an antiquated real estate industry (2:12)</li><li>Clearing up the differences in the way money changes hands, ACH, wire, and checks (12:39)</li><li>How Earnnest works and who are the involved parties (21:06)</li><li>Disrupting a highly regulated industry (24:24)</li><li>Emphasizing security and transparency (30:09)</li><li>Erlang, Elixir, Dwolla and more. How Earnnest uses data (33:40)</li><li>Trying very hard to store very little data (42:58)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>This week on The Data Stack Show, Reza Shafii, vice president of products at<a href="https://konghq.com/"> Kong Inc</a>. discusses open source projects and products with Kostas and Eric. Kong is a cloud connectivity company best known for being the creator and primary supporter of Kong, the most widely adopted open-source micro service API gateway.</p><p>Highlights from this week’s episode include:</p><ul><li>Being a self-proclaimed middleware geek (2:17)</li><li>Middleware explained (5:41)</li><li>Kong as a company, open source project, and a brand (10:44)</li><li>Drawing the lines between the open source and property parts of a SaaS platform (24:22)</li><li>Dealing with the extra friction in adopting middleware from the bottom up (33:02)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Fri, 6 Nov 2020 13:23:46 +0000</pubDate>
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      <content:encoded><![CDATA[<p>This week on The Data Stack Show, Reza Shafii, vice president of products at<a href="https://konghq.com/"> Kong Inc</a>. discusses open source projects and products with Kostas and Eric. Kong is a cloud connectivity company best known for being the creator and primary supporter of Kong, the most widely adopted open-source micro service API gateway.</p><p>Highlights from this week’s episode include:</p><ul><li>Being a self-proclaimed middleware geek (2:17)</li><li>Middleware explained (5:41)</li><li>Kong as a company, open source project, and a brand (10:44)</li><li>Drawing the lines between the open source and property parts of a SaaS platform (24:22)</li><li>Dealing with the extra friction in adopting middleware from the bottom up (33:02)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>In this episode of The Data Stack Show, hosts Kostas Pardalis and Eric Dodds talk with Nicholas Ziech-Lopez, director of product strategy at MessageGears. MessageGears is designed to reduce data friction for marketers by connecting directly to a brand’s data source and using their live data. This episode centered around the world of CDPs and where MessageGears fits in that space.</p><p>Highlights from this week’s episode include:</p><ul><li>Nicholas’ arrival at MessageGears and the company’s background (2:20)</li><li>MessageGears data sources (6:52)</li><li>Accessing the data warehouses (9:19)</li><li>Coordination and crossover of data and marketing roles (20:57)</li><li>Being a customer marketing platform (31:43)</li><li>Dealing with messy data (36:04)</li><li>Bridging the physical and digital world with consumers (43:49)</li><li>What’s coming up next for MessageGears (51:09)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 28 Oct 2020 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>In this episode of The Data Stack Show, hosts Kostas Pardalis and Eric Dodds talk with Nicholas Ziech-Lopez, director of product strategy at MessageGears. MessageGears is designed to reduce data friction for marketers by connecting directly to a brand’s data source and using their live data. This episode centered around the world of CDPs and where MessageGears fits in that space.</p><p>Highlights from this week’s episode include:</p><ul><li>Nicholas’ arrival at MessageGears and the company’s background (2:20)</li><li>MessageGears data sources (6:52)</li><li>Accessing the data warehouses (9:19)</li><li>Coordination and crossover of data and marketing roles (20:57)</li><li>Being a customer marketing platform (31:43)</li><li>Dealing with messy data (36:04)</li><li>Bridging the physical and digital world with consumers (43:49)</li><li>What’s coming up next for MessageGears (51:09)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>This week’s episode of The Data Stack Show features a conversation with hosts Kostas Pardalis and Eric Dodds and guest Jack Naglieri, founder and CEO of Panther Labs. Panther, a San Francisco based startup, is an open platform that helps security teams detect and respond to breaches in cloud-native environments, providing a modern alternative to traditional SIEMs.</p><p>Highlights from this week’s episode include:</p><ul><li>Introduction to Jack and Panther Labs (2:33)</li><li>The different pillars of data security (10:24)</li><li>Onboarding process for a company using Panther (18:40)</li><li>Thinking of security as a data problem (24:55)</li><li>Using S3 and other infrastructure suggestions that will be helpful in the long run (32:16)</li><li>Use cases for analyzing past and real-time data (39:20)</li><li>Panther’s data stack (42:54)</li><li>Open source technology being helpful for the community (47:57)</li><li>The future for Panther (54:39)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 21 Oct 2020 08:30:00 +0000</pubDate>
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      <content:encoded><![CDATA[<p>This week’s episode of The Data Stack Show features a conversation with hosts Kostas Pardalis and Eric Dodds and guest Jack Naglieri, founder and CEO of Panther Labs. Panther, a San Francisco based startup, is an open platform that helps security teams detect and respond to breaches in cloud-native environments, providing a modern alternative to traditional SIEMs.</p><p>Highlights from this week’s episode include:</p><ul><li>Introduction to Jack and Panther Labs (2:33)</li><li>The different pillars of data security (10:24)</li><li>Onboarding process for a company using Panther (18:40)</li><li>Thinking of security as a data problem (24:55)</li><li>Using S3 and other infrastructure suggestions that will be helpful in the long run (32:16)</li><li>Use cases for analyzing past and real-time data (39:20)</li><li>Panther’s data stack (42:54)</li><li>Open source technology being helpful for the community (47:57)</li><li>The future for Panther (54:39)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>In this week’s episode of The Data Stack Show, Kostas Pardalis and Eric Dodds are joined by CTO and Co-Founder of Holistics, Huy Nguyen. Holistics takes an approach to business intelligence and data analytics that they call DataOps. They focus on data team productivity and company-wide access to insights. </p><p>Important points in the conversation included:</p><ul><li>Introduction to Huy and Holistics (3:12)</li><li>Approaching BI with more than just visualization (8:59)</li><li>How friction between different roles within an organization is addressed by Holistics (15:20)</li><li>Holistics as a complementary tool (23:25)</li><li>Describing their own data stack (34:47)</li><li>History of BI and trends for the future (39:33)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 14 Oct 2020 18:30:28 +0000</pubDate>
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      <content:encoded><![CDATA[<p>In this week’s episode of The Data Stack Show, Kostas Pardalis and Eric Dodds are joined by CTO and Co-Founder of Holistics, Huy Nguyen. Holistics takes an approach to business intelligence and data analytics that they call DataOps. They focus on data team productivity and company-wide access to insights. </p><p>Important points in the conversation included:</p><ul><li>Introduction to Huy and Holistics (3:12)</li><li>Approaching BI with more than just visualization (8:59)</li><li>How friction between different roles within an organization is addressed by Holistics (15:20)</li><li>Holistics as a complementary tool (23:25)</li><li>Describing their own data stack (34:47)</li><li>History of BI and trends for the future (39:33)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <title>09: Building the Operating System for Work with Ivan Kanevski of Slapdash</title>
      <description><![CDATA[<p>On this week’s episode of The Data Stack Show, Kostas Pardalis and Eric Dodds are joined by Slapdash co-founder Ivan Kanevski. Slapdash describes itself as the operating system for work. Slapdash emphasizes reducing the time people spend controlling their computer in relation to the time they spend expressing their intent.</p><p>Key topics discussed were:</p><ul><li>Starting Slapdash and expanding on tools from working at Facebook (3:31)</li><li>Being client agnostic and working with the tools that people bring to the job (7:35)</li><li>Distinctions between mouse-centric and keyboard-centric users (12:58)</li><li>Slapdash’s approach to collecting data (16:08)</li><li>Building Slapdash to scale and using Postgres (19:45)</li><li>Using a graph model and a focus on efficiency (24:50)</li><li>Challenges of reducing latency (29:35)</li><li>Opening up Slapdash to be programmable (38:17)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 7 Oct 2020 08:30:00 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>On this week’s episode of The Data Stack Show, Kostas Pardalis and Eric Dodds are joined by Slapdash co-founder Ivan Kanevski. Slapdash describes itself as the operating system for work. Slapdash emphasizes reducing the time people spend controlling their computer in relation to the time they spend expressing their intent.</p><p>Key topics discussed were:</p><ul><li>Starting Slapdash and expanding on tools from working at Facebook (3:31)</li><li>Being client agnostic and working with the tools that people bring to the job (7:35)</li><li>Distinctions between mouse-centric and keyboard-centric users (12:58)</li><li>Slapdash’s approach to collecting data (16:08)</li><li>Building Slapdash to scale and using Postgres (19:45)</li><li>Using a graph model and a focus on efficiency (24:50)</li><li>Challenges of reducing latency (29:35)</li><li>Opening up Slapdash to be programmable (38:17)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>In this week’s episode of The Data Stack Show, Kostas Pardalis and Eric Dodds chat with Mason Stewart, the lead engineer at<a href="http://bookshop.org"> Bookshop.org</a>. Bookshop is an online bookstore with a mission to financially support local, independent bookstores. Their hope is to help strengthen the fragile ecosystem and margins around bookselling and keep local bookstores an integral part of our culture and communities.</p><p>Among other topics, today’s conversation talked about making what some might call boring decisions with the data stack that are better described as mature decisions and the intertwining of human interaction with data for problem solving and recommendations.</p><ul><li>Background on Mason and<a href="http://bookshop.org"> Bookshop.org</a> (3:28)</li><li>Technical challenges of keeping up with a rapidly expanding business (10:00)</li><li>Interacting with data from fulfillment partners (14:36)</li><li>Data schema for books and dealing with Elasticsearch (24:46)</li><li>Human intervention in recognizing problems and exceptions (31:38)</li><li>In-depth look at Bookshop’s data stack (37:06)</li><li>Using curated lists from bookstores instead of algorithmic recommendations (43:50)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 30 Sep 2020 08:30:02 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>In this week’s episode of The Data Stack Show, Kostas Pardalis and Eric Dodds chat with Mason Stewart, the lead engineer at<a href="http://bookshop.org"> Bookshop.org</a>. Bookshop is an online bookstore with a mission to financially support local, independent bookstores. Their hope is to help strengthen the fragile ecosystem and margins around bookselling and keep local bookstores an integral part of our culture and communities.</p><p>Among other topics, today’s conversation talked about making what some might call boring decisions with the data stack that are better described as mature decisions and the intertwining of human interaction with data for problem solving and recommendations.</p><ul><li>Background on Mason and<a href="http://bookshop.org"> Bookshop.org</a> (3:28)</li><li>Technical challenges of keeping up with a rapidly expanding business (10:00)</li><li>Interacting with data from fulfillment partners (14:36)</li><li>Data schema for books and dealing with Elasticsearch (24:46)</li><li>Human intervention in recognizing problems and exceptions (31:38)</li><li>In-depth look at Bookshop’s data stack (37:06)</li><li>Using curated lists from bookstores instead of algorithmic recommendations (43:50)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>In this week’s episode of The Data Stack Show, Kostas Pardalis and Eric Dodds connect with IFTTT data scientist Peter Darche. IFTTT is a free platform that helps all your products and services work better together through automated tasks. Their discussion covered a lot of ground involving their data stack, their use cases and clearing up once and for all how to pronounce the company’s name.</p><ul><li>Background on IFTTT (2:12)</li><li>Peter tells the proper way to pronounce IFTTT (3:34)</li><li>An overview of IFTTT’s technological architecture (6:14)</li><li>The uses of data and analytics at IFTTT (8:04)</li><li>Constructing the data stack (10:11)</li><li>Dealing with challenges (15:20)</li><li>Best practices for communicating with internal teams about the data (23:04)</li><li>Discussing functional data engineering (26:05)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 23 Sep 2020 08:30:15 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
      <link>https://datastackshow.com</link>
      <content:encoded><![CDATA[<p>In this week’s episode of The Data Stack Show, Kostas Pardalis and Eric Dodds connect with IFTTT data scientist Peter Darche. IFTTT is a free platform that helps all your products and services work better together through automated tasks. Their discussion covered a lot of ground involving their data stack, their use cases and clearing up once and for all how to pronounce the company’s name.</p><ul><li>Background on IFTTT (2:12)</li><li>Peter tells the proper way to pronounce IFTTT (3:34)</li><li>An overview of IFTTT’s technological architecture (6:14)</li><li>The uses of data and analytics at IFTTT (8:04)</li><li>Constructing the data stack (10:11)</li><li>Dealing with challenges (15:20)</li><li>Best practices for communicating with internal teams about the data (23:04)</li><li>Discussing functional data engineering (26:05)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>This week on The Data Stack Show, Kostas Pardalis and Eric Dodds continue their conversation about Ruby, a start-up designed to help families navigate their financial situation in some of life’s most challenging moments, by talking with the Nashville company’s CTO Sam Bledsoe. This follow-up discussion digs into how their data engineering and marketing setups co-exist and how they rely on Azure.</p><ul><li>Sam’s background and more info about Ruby (2:11)</li><li>Privacy-related challenges at the intersection of banking and medical data (4:33)</li><li>What to expect from using Azure (15:06)</li><li>Breaking down the stack (24:44)</li><li>The need for marketing people with technological skills (36:20)</li><li>Talking Big Query, RedShift, Spark and data virtualization (41:15)</li><li>Biggest changes anticipated in moving as a spin-off from the bank (43:59)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 16 Sep 2020 08:30:04 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>This week on The Data Stack Show, Kostas Pardalis and Eric Dodds continue their conversation about Ruby, a start-up designed to help families navigate their financial situation in some of life’s most challenging moments, by talking with the Nashville company’s CTO Sam Bledsoe. This follow-up discussion digs into how their data engineering and marketing setups co-exist and how they rely on Azure.</p><ul><li>Sam’s background and more info about Ruby (2:11)</li><li>Privacy-related challenges at the intersection of banking and medical data (4:33)</li><li>What to expect from using Azure (15:06)</li><li>Breaking down the stack (24:44)</li><li>The need for marketing people with technological skills (36:20)</li><li>Talking Big Query, RedShift, Spark and data virtualization (41:15)</li><li>Biggest changes anticipated in moving as a spin-off from the bank (43:59)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>On this week’s episode of The Data Stack Show, Kostas Pardalis and Eric Dodds are joined by Nic Discepoli for the first of two conversations about Ruby, a startup where he is the customer analytics lead. This Nashville-based company is designed to help families navigate their financial situation in some of life’s most challenging moments, often corresponding with a medical event. Their conversation included topics like: </p><ul><li>Launching Ruby and Nic’s involvement in the company (3:35)</li><li>Realizing that tracking data manually on spreadsheets was no longer sustainable (7:07)</li><li>Rundown of Ruby’s toolset (9:50)</li><li>Challenges with data quality (14:27)</li><li>Using unique IDs and following UTM parameters through the stack (21:04)</li><li>Recalculating customer acquisition cost with data (33:05)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 9 Sep 2020 08:30:09 +0000</pubDate>
      <author>heard@heardpods.com (Rudderstack)</author>
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      <content:encoded><![CDATA[<p>On this week’s episode of The Data Stack Show, Kostas Pardalis and Eric Dodds are joined by Nic Discepoli for the first of two conversations about Ruby, a startup where he is the customer analytics lead. This Nashville-based company is designed to help families navigate their financial situation in some of life’s most challenging moments, often corresponding with a medical event. Their conversation included topics like: </p><ul><li>Launching Ruby and Nic’s involvement in the company (3:35)</li><li>Realizing that tracking data manually on spreadsheets was no longer sustainable (7:07)</li><li>Rundown of Ruby’s toolset (9:50)</li><li>Challenges with data quality (14:27)</li><li>Using unique IDs and following UTM parameters through the stack (21:04)</li><li>Recalculating customer acquisition cost with data (33:05)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>In this episode of The Data Stack Show, Kostas Pardalis and Eric Dodds talk change data capture (CDC) with DeVaris Brown, co-founder and CEO of Meroxa. Their conversation digs into the benefits of utilizing CDC and how Meroxa is using it. Highlights from the conversation include:</p><ul><li>Introduction to DeVaris and Meroxa (3:24)</li><li>Why CDC has more traction today (6:58)</li><li>How CDC is changing the way we build products (12:52)</li><li>Where CDC is playing an important role (21:11)</li><li>The experience that Meroxa delivers (24:42)</li><li>Looking at Meroxa’s sources, technology and data stack (27:28)</li><li>DeVaris’ vision for the company (37:10)</li></ul><p>The <a href="https://datastackshow.com/">Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="https://rudderstack.com/">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 2 Sep 2020 08:30:01 +0000</pubDate>
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      <content:encoded><![CDATA[<p>In this episode of The Data Stack Show, Kostas Pardalis and Eric Dodds talk change data capture (CDC) with DeVaris Brown, co-founder and CEO of Meroxa. Their conversation digs into the benefits of utilizing CDC and how Meroxa is using it. Highlights from the conversation include:</p><ul><li>Introduction to DeVaris and Meroxa (3:24)</li><li>Why CDC has more traction today (6:58)</li><li>How CDC is changing the way we build products (12:52)</li><li>Where CDC is playing an important role (21:11)</li><li>The experience that Meroxa delivers (24:42)</li><li>Looking at Meroxa’s sources, technology and data stack (27:28)</li><li>DeVaris’ vision for the company (37:10)</li></ul><p>The <a href="https://datastackshow.com/">Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="https://rudderstack.com/">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>In this week’s episode of The Data Stack Show, Kostas Pardalis connects with Satyam Krishna, a data engineer at<a href="https://grofers.com/aboutus"> Grofers</a>, India’s largest low-price online supermarket. Grofers boasts a network of more than 5,000 partner stores, a user base with three million iOS and Android app downloads, and an efficient supply chain that allow it to deliver more than 25 million products to customers every month. </p><p>Satyam offers insights into how he helped build the data engineering function at Grofers, how they developed a robust data stack, how they’re turning production databases into live event streams using Change Data Capture, how Grofers’ internal customers consume data, and the company made adjustments due to the pandemic. </p><p>Topics of discussion included:</p><ul><li>Satyam moving from a developer to a data engineer (2:43)</li><li>Describing Grofers’ data stack and data lake (6:41)</li><li>Who is consuming data inside the company and what are some of their common uses specific to Grofers? (12:03)</li><li>What are the biggest issues day-to-day as a data engineer? (18:21)</li><li>COVID’s impact on business practices and the data stack (21:28)</li><li>The big problem of data discoverability and metadata cataloging (27:44)</li><li>Completely changing architecture to something that can scale up (33:16)</li></ul><p>The <a href="https://datastackshow.com/">Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="https://rudderstack.com/">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Thu, 27 Aug 2020 18:42:31 +0000</pubDate>
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      <content:encoded><![CDATA[<p>In this week’s episode of The Data Stack Show, Kostas Pardalis connects with Satyam Krishna, a data engineer at<a href="https://grofers.com/aboutus"> Grofers</a>, India’s largest low-price online supermarket. Grofers boasts a network of more than 5,000 partner stores, a user base with three million iOS and Android app downloads, and an efficient supply chain that allow it to deliver more than 25 million products to customers every month. </p><p>Satyam offers insights into how he helped build the data engineering function at Grofers, how they developed a robust data stack, how they’re turning production databases into live event streams using Change Data Capture, how Grofers’ internal customers consume data, and the company made adjustments due to the pandemic. </p><p>Topics of discussion included:</p><ul><li>Satyam moving from a developer to a data engineer (2:43)</li><li>Describing Grofers’ data stack and data lake (6:41)</li><li>Who is consuming data inside the company and what are some of their common uses specific to Grofers? (12:03)</li><li>What are the biggest issues day-to-day as a data engineer? (18:21)</li><li>COVID’s impact on business practices and the data stack (21:28)</li><li>The big problem of data discoverability and metadata cataloging (27:44)</li><li>Completely changing architecture to something that can scale up (33:16)</li></ul><p>The <a href="https://datastackshow.com/">Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="https://rudderstack.com/">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>In this episode, Kostas Pardalis sits down with Utkarsh Gupta, senior engineer of data science at 1mg, India’s largest online healthcare platform.</p><p>Together they discussed 1mg’s data infrastructure, its response to the global pandemic and how data drives their product and their business. Highlights from the show included discussions about:</p><ul><li>Utkarsh and 1MG’s background (1:32) </li><li>1mg being based on a bedrock of data (4:25)</li><li>Business analytics (5:33)</li><li>Effects of COVID-19 pandemic on business (11:40)</li><li>Description of 1mg’s data stack (16:53)</li><li>Biggest challenges faced and managing collaboration (27:08)</li><li>Opinions on open source technology (40:31)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 19 Aug 2020 11:49:30 +0000</pubDate>
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      <content:encoded><![CDATA[<p>In this episode, Kostas Pardalis sits down with Utkarsh Gupta, senior engineer of data science at 1mg, India’s largest online healthcare platform.</p><p>Together they discussed 1mg’s data infrastructure, its response to the global pandemic and how data drives their product and their business. Highlights from the show included discussions about:</p><ul><li>Utkarsh and 1MG’s background (1:32) </li><li>1mg being based on a bedrock of data (4:25)</li><li>Business analytics (5:33)</li><li>Effects of COVID-19 pandemic on business (11:40)</li><li>Description of 1mg’s data stack (16:53)</li><li>Biggest challenges faced and managing collaboration (27:08)</li><li>Opinions on open source technology (40:31)</li></ul><p>The<a href="https://datastackshow.com/"> Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit<a href="https://rudderstack.com/"> rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <description><![CDATA[<p>In this episode, Kostas Pardalis sits down with Alex Dovenmuehle, head of data engineering for Mattermost, an open-source self-hosted communication tool that optimizes dev workflows in highly secure environments. Kostas and Alex discuss:</p><ul><li>Alex's background and experience (2:29)</li><li>Data stack Mattermost is using (9:25)</li><li>How Mattermost built their Data Stack (21:05)</li><li>Using data to understand the story of the customer's journey (24:58)</li><li>Focus on privacy and security (26:33)</li><li>Practical ways Mattermost is using data (37:14)</li><li>What's next for data analytics at Mattermost and wrap up (42:45)</li></ul><p>The <a href="https://datastackshow.com/">Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="https://rudderstack.com/">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></description>
      <pubDate>Wed, 12 Aug 2020 08:30:07 +0000</pubDate>
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      <content:encoded><![CDATA[<p>In this episode, Kostas Pardalis sits down with Alex Dovenmuehle, head of data engineering for Mattermost, an open-source self-hosted communication tool that optimizes dev workflows in highly secure environments. Kostas and Alex discuss:</p><ul><li>Alex's background and experience (2:29)</li><li>Data stack Mattermost is using (9:25)</li><li>How Mattermost built their Data Stack (21:05)</li><li>Using data to understand the story of the customer's journey (24:58)</li><li>Focus on privacy and security (26:33)</li><li>Practical ways Mattermost is using data (37:14)</li><li>What's next for data analytics at Mattermost and wrap up (42:45)</li></ul><p>The <a href="https://datastackshow.com/">Data Stack Show</a> is a weekly podcast powered by RudderStack. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.</p><p>RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit <a href="https://rudderstack.com/">rudderstack.com</a>.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>]]></content:encoded>
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      <pubDate>Fri, 31 Jul 2020 18:25:46 +0000</pubDate>
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