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    <title>The Sequel Show</title>
    <description>Your next favorite data podcast, hosted by Boris Jabes, CEO of Census, and featuring all the data nerds you know and love. 

Brought to you by Census. https://getcensus.com</description>
    <copyright>Census</copyright>
    <language>en</language>
    <pubDate>Thu, 20 Oct 2022 17:00:00 +0000</pubDate>
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      <link>https://getcensus.com</link>
      <title>The Sequel Show</title>
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    <link>https://getcensus.com</link>
    <itunes:type>episodic</itunes:type>
    <itunes:summary>Your next favorite data podcast, hosted by Boris Jabes, CEO of Census, and featuring all the data nerds you know and love. 

Brought to you by Census. https://getcensus.com</itunes:summary>
    <itunes:author>Census, Boris Jabes</itunes:author>
    <itunes:explicit>yes</itunes:explicit>
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    <itunes:keywords>b2b business, data science, data engineering, data, technology, modern data stack, software</itunes:keywords>
    <itunes:owner>
      <itunes:name>Census</itunes:name>
      <itunes:email>allie@getcensus.com</itunes:email>
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      <title>What you should do when you mess up your data w/ Benn Stancil, Founder &amp; CAO @ Mode</title>
      <description><![CDATA[<p>Some of our topic highlights include:</p><ul><li>Confidence intervals and precision needs vs wants</li><li>The Spam bot problem and issuing corrections</li><li>Shipping to vision vs shipping to need (and knowing when to say no)</li><li>Market-based economy for data asks </li><li>The Microsoft SQL servers con</li><li>Analytics-driven change rather than product team-driven change</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/benn-stancil/">Benn on LinkedIn</a></li><li><a href="https://twitter.com/bennstancil">Benn on Twitter</a></li><li><a href="https://benn.substack.com/">Benn’s blog</a></li><li><a href="https://www.linkedin.com/company/mode-analytics/">Mode on LinkedIn</a></li><li><a href="https://twitter.com/ModeAnalytics">Mode on Twitter</a></li><li><a href="https://mode.com/">Mode’s website</a></li></ul><p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></description>
      <pubDate>Thu, 20 Oct 2022 17:00:00 +0000</pubDate>
      <author>allie@getcensus.com (Benn Stancil)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>Some of our topic highlights include:</p><ul><li>Confidence intervals and precision needs vs wants</li><li>The Spam bot problem and issuing corrections</li><li>Shipping to vision vs shipping to need (and knowing when to say no)</li><li>Market-based economy for data asks </li><li>The Microsoft SQL servers con</li><li>Analytics-driven change rather than product team-driven change</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/benn-stancil/">Benn on LinkedIn</a></li><li><a href="https://twitter.com/bennstancil">Benn on Twitter</a></li><li><a href="https://benn.substack.com/">Benn’s blog</a></li><li><a href="https://www.linkedin.com/company/mode-analytics/">Mode on LinkedIn</a></li><li><a href="https://twitter.com/ModeAnalytics">Mode on Twitter</a></li><li><a href="https://mode.com/">Mode’s website</a></li></ul><p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
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      <itunes:title>What you should do when you mess up your data w/ Benn Stancil, Founder &amp; CAO @ Mode</itunes:title>
      <itunes:author>Benn Stancil</itunes:author>
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      <itunes:duration>01:38:40</itunes:duration>
      <itunes:summary>Benn Stancil, CAO and Founder of Mode, is no stranger to The Sequel Show. He delivered some hot takes during his first appearance back in November of 2021, featuring an epic debate about how far analysts should be willing to go to persuade an executive. So, we thought we’d bring him back to wrap up the 2022 season with a spicy final episode. 

As you’d expect, if you listened to Benn’s first TSS episode, we’re continuing the streak with more controversial opinions. And it all started with a simple question: What should you do when you mess up? This seemingly straightforward question had us going back and forth, leading us down a rabbit hole of anecdotes, covering everything from Census puns to all-you-can-eat restaurants. </itunes:summary>
      <itunes:subtitle>Benn Stancil, CAO and Founder of Mode, is no stranger to The Sequel Show. He delivered some hot takes during his first appearance back in November of 2021, featuring an epic debate about how far analysts should be willing to go to persuade an executive. So, we thought we’d bring him back to wrap up the 2022 season with a spicy final episode. 

As you’d expect, if you listened to Benn’s first TSS episode, we’re continuing the streak with more controversial opinions. And it all started with a simple question: What should you do when you mess up? This seemingly straightforward question had us going back and forth, leading us down a rabbit hole of anecdotes, covering everything from Census puns to all-you-can-eat restaurants. </itunes:subtitle>
      <itunes:keywords>market-based economy, microsoft sql servers con, data precision, data ethics, analytics-driven change, influence stakeholders, confidence intervals</itunes:keywords>
      <itunes:explicit>yes</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>14</itunes:episode>
      <itunes:season>2</itunes:season>
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      <title>The value of investing in your data w/ Cyril Marques, Founder &amp; CEO @ Montreal Analytics</title>
      <description><![CDATA[<p>Some of our topic highlights include:</p><ul><li>His background and path to founding Montreal Analytics</li><li>The importance of investing in your data</li><li>Why clients trust Cyril and his team</li><li>How Montreal Analytics leads organizations in the right direction</li><li>Learning through trial and error</li><li>Whether a shared data stack is the best path forward</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/cyrilmarques/">Cyril on LinkedIn</a></li><li><a href="https://www.linkedin.com/company/montreal-analytics/">Montreal Analytics on LinkedIn</a></li><li><a href="https://twitter.com/MTL_Analytics">Montreal Analytics on Twitter</a></li><li><a href="https://www.montrealanalytics.com/">Montreal Analytics’s website</a></li><li><a href="https://blog.montrealanalytics.com/">Montreal Analytics on Medium</a></li></ul><p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></description>
      <pubDate>Thu, 6 Oct 2022 21:00:00 +0000</pubDate>
      <author>allie@getcensus.com (Cyril Marques)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>Some of our topic highlights include:</p><ul><li>His background and path to founding Montreal Analytics</li><li>The importance of investing in your data</li><li>Why clients trust Cyril and his team</li><li>How Montreal Analytics leads organizations in the right direction</li><li>Learning through trial and error</li><li>Whether a shared data stack is the best path forward</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/cyrilmarques/">Cyril on LinkedIn</a></li><li><a href="https://www.linkedin.com/company/montreal-analytics/">Montreal Analytics on LinkedIn</a></li><li><a href="https://twitter.com/MTL_Analytics">Montreal Analytics on Twitter</a></li><li><a href="https://www.montrealanalytics.com/">Montreal Analytics’s website</a></li><li><a href="https://blog.montrealanalytics.com/">Montreal Analytics on Medium</a></li></ul><p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></content:encoded>
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      <itunes:title>The value of investing in your data w/ Cyril Marques, Founder &amp; CEO @ Montreal Analytics</itunes:title>
      <itunes:author>Cyril Marques</itunes:author>
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      <itunes:duration>00:57:34</itunes:duration>
      <itunes:summary>You’re in for a very special episode of The Sequel Show this week: This is the first-ever in-person recording in its history. Cyril Marques, Founder and CEO of Montreal Analytics, joined me at our headquarters in SF to talk all about the importance of investing in data (and, of course, he brought some swag with him).

For those of you who might not be familiar, Montreal Analytics is a full-stack data consultancy that helps clients build a single source of truth for their analytics. After being unhappy at every company he’s ever worked for, Cyril finally founded Montreal Analytics in 2020 after doing some full-time freelance consulting.

Now, he helps companies unlock the most value for their organization, all while running a company he’s energized by. If you want to hear all the secrets from behind the walls of a data consultancy, you’ll like what Cyril has to say.</itunes:summary>
      <itunes:subtitle>You’re in for a very special episode of The Sequel Show this week: This is the first-ever in-person recording in its history. Cyril Marques, Founder and CEO of Montreal Analytics, joined me at our headquarters in SF to talk all about the importance of investing in data (and, of course, he brought some swag with him).

For those of you who might not be familiar, Montreal Analytics is a full-stack data consultancy that helps clients build a single source of truth for their analytics. After being unhappy at every company he’s ever worked for, Cyril finally founded Montreal Analytics in 2020 after doing some full-time freelance consulting.

Now, he helps companies unlock the most value for their organization, all while running a company he’s energized by. If you want to hear all the secrets from behind the walls of a data consultancy, you’ll like what Cyril has to say.</itunes:subtitle>
      <itunes:keywords>company swag, data analysis, dbt data modeling, financial data modeling, product team, data stack, sql</itunes:keywords>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>13</itunes:episode>
      <itunes:season>2</itunes:season>
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      <title>The role of efficiency, automation, &amp; collaboration in the modern sales era w/ Peter Kazanjy, Co-founder &amp; CRO of Atrium</title>
      <description><![CDATA[<p>Some of our topic highlights include:</p><ul><li>The right amount of precision in different scenarios</li><li>What modern sales is (and what you need to be successful)</li><li>Why salespeople are crucial to your customers </li><li>Using automation to inform sales behavior</li><li>The trick for identifying talent before you have the data and track record</li><li>The importance of pipeline hygiene versus “being good at sales”</li><li>Remote work vs clustered work</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="http://linkedin.com/in/kazanjy">Peter on LinkedIn</a></li><li><a href="https://twitter.com/Kazanjy">Peter on Twitter</a></li><li><a href="https://www.linkedin.com/company/atriumhq/">Atrium on LinkedIn</a></li><li><a href="https://twitter.com/AtriumHQ">Atrium on Twitter</a></li><li><a href="https://www.atriumhq.com/">Atrium’s website</a></li></ul><p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></description>
      <pubDate>Thu, 29 Sep 2022 21:00:00 +0000</pubDate>
      <author>allie@getcensus.com (Peter Kazanjy)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>Some of our topic highlights include:</p><ul><li>The right amount of precision in different scenarios</li><li>What modern sales is (and what you need to be successful)</li><li>Why salespeople are crucial to your customers </li><li>Using automation to inform sales behavior</li><li>The trick for identifying talent before you have the data and track record</li><li>The importance of pipeline hygiene versus “being good at sales”</li><li>Remote work vs clustered work</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="http://linkedin.com/in/kazanjy">Peter on LinkedIn</a></li><li><a href="https://twitter.com/Kazanjy">Peter on Twitter</a></li><li><a href="https://www.linkedin.com/company/atriumhq/">Atrium on LinkedIn</a></li><li><a href="https://twitter.com/AtriumHQ">Atrium on Twitter</a></li><li><a href="https://www.atriumhq.com/">Atrium’s website</a></li></ul><p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></content:encoded>
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      <itunes:title>The role of efficiency, automation, &amp; collaboration in the modern sales era w/ Peter Kazanjy, Co-founder &amp; CRO of Atrium</itunes:title>
      <itunes:author>Peter Kazanjy</itunes:author>
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      <itunes:duration>01:38:00</itunes:duration>
      <itunes:summary>It’s always fun to reflect on how far we’ve come since the beginning – especially when it comes to sales, sports, and, of course, Census. Joining me on this journey is Peter Kazanjy, one of Census’s first customers! He also happens to be the co-founder and CRO of Atrium, a data-driven sales management software that helps sales managers use data to improve team performance. 

In this episode, Peter and I chat about how the sales industry has evolved with the increasing availability of data and automation. We explore the past and present state of sales, including how it has transformed into a little revenue factory with a bunch of human-occupied assembly lines. 

If you like actionable advice and sports analogies for the data-driven sales world, this episode is for you.</itunes:summary>
      <itunes:subtitle>It’s always fun to reflect on how far we’ve come since the beginning – especially when it comes to sales, sports, and, of course, Census. Joining me on this journey is Peter Kazanjy, one of Census’s first customers! He also happens to be the co-founder and CRO of Atrium, a data-driven sales management software that helps sales managers use data to improve team performance. 

In this episode, Peter and I chat about how the sales industry has evolved with the increasing availability of data and automation. We explore the past and present state of sales, including how it has transformed into a little revenue factory with a bunch of human-occupied assembly lines. 

If you like actionable advice and sports analogies for the data-driven sales world, this episode is for you.</itunes:subtitle>
      <itunes:keywords>sales team, automation, data team, sales efficiency, data analytics, sales management</itunes:keywords>
      <itunes:explicit>yes</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>12</itunes:episode>
      <itunes:season>2</itunes:season>
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      <title>Getting to the “science” in data science w/ Sarah Krasnik, data consultant &amp; advisor</title>
      <description><![CDATA[<p>Some of our topic highlights include:</p><ul><li>How Sarah got into the world of data</li><li>Data modeling vs data building (and depth vs variety)</li><li>The organizational pieces that need to fall in place before you get to the science in data science</li><li>How experience in sales helps with technical product translation</li><li>Why Sarah started writing (and what she gets out of it)</li><li>UI power features and their feasibility</li><li>The code vs no-code debate</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/sarah-krasnik/">Sarah on LinkedIn</a></li><li><a href="https://sarahsnewsletter.substack.com/">Sarah’s newsletter</a></li><li><a href="https://twitter.com/sarahmk125">Sarah on Twitter</a></li></ul><p>Music by the talented Joe Stevens:  <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></description>
      <pubDate>Thu, 18 Aug 2022 22:00:00 +0000</pubDate>
      <author>allie@getcensus.com (Sarah Krasnik)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>Some of our topic highlights include:</p><ul><li>How Sarah got into the world of data</li><li>Data modeling vs data building (and depth vs variety)</li><li>The organizational pieces that need to fall in place before you get to the science in data science</li><li>How experience in sales helps with technical product translation</li><li>Why Sarah started writing (and what she gets out of it)</li><li>UI power features and their feasibility</li><li>The code vs no-code debate</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/sarah-krasnik/">Sarah on LinkedIn</a></li><li><a href="https://sarahsnewsletter.substack.com/">Sarah’s newsletter</a></li><li><a href="https://twitter.com/sarahmk125">Sarah on Twitter</a></li></ul><p>Music by the talented Joe Stevens:  <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></content:encoded>
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      <itunes:title>Getting to the “science” in data science w/ Sarah Krasnik, data consultant &amp; advisor</itunes:title>
      <itunes:author>Sarah Krasnik</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/09e25582-6210-4083-bf74-d135160558b8/805751fb-8968-45a1-8924-ec8673fbe753/3000x3000/61fb58c2b398fc56d71db362-the-sequel-show-cover.jpg?aid=rss_feed"/>
      <itunes:duration>01:02:02</itunes:duration>
      <itunes:summary>What career path do you go down when blood churns your stomach? Data, of course. That’s where this week’s episode with data consultant and advisor, Sarah Krasnik, started: discussing how her exposure to cognitive science at John’s Hopkins (paired with a squeamishness for blood) left her looking for another way to influence people’s perception of the world with logic and information. So, she pursued data science.

Leading a data engineering team at PerPay – an all-in-one FinTech app providing underserved consumers with an easy way to make purchases, pay over time, &amp; build credit – inspired Sarah to jump into freelance consulting work so she could start hacking away at some side projects. Because of that work, she’s gained knowledge in tons of different data-related areas.

So, if you enjoy some healthy debates and hearing opposing opinions, you’ll like this episode. Is data science really a science? What do you think about the no-code movement? Is it feasible for UI to be improved with “power features”? Listen in as we tackle all this and more.</itunes:summary>
      <itunes:subtitle>What career path do you go down when blood churns your stomach? Data, of course. That’s where this week’s episode with data consultant and advisor, Sarah Krasnik, started: discussing how her exposure to cognitive science at John’s Hopkins (paired with a squeamishness for blood) left her looking for another way to influence people’s perception of the world with logic and information. So, she pursued data science.

Leading a data engineering team at PerPay – an all-in-one FinTech app providing underserved consumers with an easy way to make purchases, pay over time, &amp; build credit – inspired Sarah to jump into freelance consulting work so she could start hacking away at some side projects. Because of that work, she’s gained knowledge in tons of different data-related areas.

So, if you enjoy some healthy debates and hearing opposing opinions, you’ll like this episode. Is data science really a science? What do you think about the no-code movement? Is it feasible for UI to be improved with “power features”? Listen in as we tackle all this and more.</itunes:subtitle>
      <itunes:keywords>data advisor, data engineer, versioning, data science, technical writing, analytics consultant, no code movement, terraform</itunes:keywords>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>11</itunes:episode>
      <itunes:season>2</itunes:season>
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      <title>Tipping points: How individual decisions make big impacts in data careers &amp; data teams w/ Emily Hawkins, data engineering manager @ Drizly (LIVE @ Summer Community Days)</title>
      <description><![CDATA[<p>Some of our topic highlights include:</p><ul><li>Emily’s background, her journey to data, and what she does at Drizly</li><li>Answers to your burning questions, like: What type of alcohol is the most popular?</li><li>How Emily moved up the data ranks from engineer to manager</li><li>Value of optimizing old vs building new</li><li>The evolution of data sharing throughout Emily’s career</li><li>How data engineers and data analysts differ at Drizly</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/hawkinsemily/">Emily on LinkedIn</a></li><li><a href="https://twitter.com/emilyhawkins__">Emily on Twitter</a></li><li><a href="https://www.linkedin.com/company/drizly/">Drizly on LinkedIn</a></li><li><a href="https://twitter.com/Drizly">Drizly on Twitter</a></li><li><a href="https://drizly.com/">Drizly’s website</a></li></ul><p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></description>
      <pubDate>Thu, 11 Aug 2022 22:00:00 +0000</pubDate>
      <author>allie@getcensus.com (Emily Hawkins)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>Some of our topic highlights include:</p><ul><li>Emily’s background, her journey to data, and what she does at Drizly</li><li>Answers to your burning questions, like: What type of alcohol is the most popular?</li><li>How Emily moved up the data ranks from engineer to manager</li><li>Value of optimizing old vs building new</li><li>The evolution of data sharing throughout Emily’s career</li><li>How data engineers and data analysts differ at Drizly</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/hawkinsemily/">Emily on LinkedIn</a></li><li><a href="https://twitter.com/emilyhawkins__">Emily on Twitter</a></li><li><a href="https://www.linkedin.com/company/drizly/">Drizly on LinkedIn</a></li><li><a href="https://twitter.com/Drizly">Drizly on Twitter</a></li><li><a href="https://drizly.com/">Drizly’s website</a></li></ul><p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></content:encoded>
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      <itunes:title>Tipping points: How individual decisions make big impacts in data careers &amp; data teams w/ Emily Hawkins, data engineering manager @ Drizly (LIVE @ Summer Community Days)</itunes:title>
      <itunes:author>Emily Hawkins</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/09e25582-6210-4083-bf74-d135160558b8/57944fef-28bf-49e0-9c21-e1d15986c25d/3000x3000/61fb58c2b398fc56d71db362-the-sequel-show-cover.jpg?aid=rss_feed"/>
      <itunes:duration>00:52:29</itunes:duration>
      <itunes:summary>In this never-been-done-in-the-history-of-The-Sequel-Show episode, we’re bringing you a live recording from our data community event, Summer Community Days. In case you missed it, Summer Community Days was our two-day, free, virtual &amp; practitioner-first conference that presented community expert sessions, keynotes, data hackathons, and local IRL happy hours in major US cities. This episode, featuring Emily Hawkins, was the keynote session kicking off the conference. 

As the data engineering manager at Drizly, an online alcohol ordering and delivery platform, Emily has the insight to satisfy your curiosity and answer all those burning alcohol-delivery questions you have (no pun intended). 

What was the most popular kind of alcohol that people gifted this year? What is the most popular time to place an order on Drizly? What day did you usually receive the most orders in 2021? Listen up, because we’re bringing you the answers to all these questions – and more! If you missed this keynote (or just want to relisten), here’s your chance.</itunes:summary>
      <itunes:subtitle>In this never-been-done-in-the-history-of-The-Sequel-Show episode, we’re bringing you a live recording from our data community event, Summer Community Days. In case you missed it, Summer Community Days was our two-day, free, virtual &amp; practitioner-first conference that presented community expert sessions, keynotes, data hackathons, and local IRL happy hours in major US cities. This episode, featuring Emily Hawkins, was the keynote session kicking off the conference. 

As the data engineering manager at Drizly, an online alcohol ordering and delivery platform, Emily has the insight to satisfy your curiosity and answer all those burning alcohol-delivery questions you have (no pun intended). 

What was the most popular kind of alcohol that people gifted this year? What is the most popular time to place an order on Drizly? What day did you usually receive the most orders in 2021? Listen up, because we’re bringing you the answers to all these questions – and more! If you missed this keynote (or just want to relisten), here’s your chance.</itunes:subtitle>
      <itunes:keywords>alcohol sales, data engineering, data conference, data specialization, summer community days, data community, data teams, data careers</itunes:keywords>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>10</itunes:episode>
      <itunes:season>2</itunes:season>
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      <title>How an understanding of human psychology can create an impactful data story w/ Jessica Zhang, data scientist @ Notion</title>
      <description><![CDATA[<p>Some of our topic highlights include:</p><ul><li>Jessica’s early career in banking</li><li>Differences between data across different types of companies</li><li>How data roles differ from consumer banking to investment banking </li><li>The importance of statistical rigor and running experiments</li><li>The art of persuasion and corporate psychology in data </li><li>How to improve interconnectivity between departments </li><li>What B2B SaaS companies can learn from B2C companies</li><li>Striking the right balance in data</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/jessica-zhang-1000286/">Jessica on LinkedIn</a></li><li><a href="https://www.linkedin.com/company/notionhq/">Notion on LinkedIn</a></li><li><a href="https://twitter.com/NotionHQ">Notion on Twitter</a></li><li><a href="https://notion.so">Notion’s website</a></li></ul><p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></description>
      <pubDate>Thu, 14 Jul 2022 21:00:00 +0000</pubDate>
      <author>allie@getcensus.com (Jessica Zhang)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>Some of our topic highlights include:</p><ul><li>Jessica’s early career in banking</li><li>Differences between data across different types of companies</li><li>How data roles differ from consumer banking to investment banking </li><li>The importance of statistical rigor and running experiments</li><li>The art of persuasion and corporate psychology in data </li><li>How to improve interconnectivity between departments </li><li>What B2B SaaS companies can learn from B2C companies</li><li>Striking the right balance in data</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/jessica-zhang-1000286/">Jessica on LinkedIn</a></li><li><a href="https://www.linkedin.com/company/notionhq/">Notion on LinkedIn</a></li><li><a href="https://twitter.com/NotionHQ">Notion on Twitter</a></li><li><a href="https://notion.so">Notion’s website</a></li></ul><p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></content:encoded>
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      <itunes:title>How an understanding of human psychology can create an impactful data story w/ Jessica Zhang, data scientist @ Notion</itunes:title>
      <itunes:author>Jessica Zhang</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/09e25582-6210-4083-bf74-d135160558b8/13439a64-6b6e-477b-89f9-f625dcbc6131/3000x3000/61fb58c2b398fc56d71db362-the-sequel-show-cover.jpg?aid=rss_feed"/>
      <itunes:duration>01:02:02</itunes:duration>
      <itunes:summary>We’re taking data down a different path than usual this week on The Sequel Show. For EP 25, I spoke with Jessica Zhang, data scientist at Notion, a collaboration software hub for users to write, plan, and get organized. Although Jessica started with an “on-the-fly” decision to join a financial institution after college, it allowed her to learn all the data analysis bells and whistles and taught her how to connect the dots in large corporations. 

Of course, she evolved as the economy evolved, making carefully planned out career jumps to see all the different facets of the data industry, and inspiring our wide-ranging conversation. In this unique episode, we discuss the differences between banking and tech data roles, the distinction between consumer and investment banking, the importance of statistical rigor when managing data, the role that persuasion and psychology play in data, how you can use these to improve interconnectivity between departments, and what B2B SaaS can learn from B2C.</itunes:summary>
      <itunes:subtitle>We’re taking data down a different path than usual this week on The Sequel Show. For EP 25, I spoke with Jessica Zhang, data scientist at Notion, a collaboration software hub for users to write, plan, and get organized. Although Jessica started with an “on-the-fly” decision to join a financial institution after college, it allowed her to learn all the data analysis bells and whistles and taught her how to connect the dots in large corporations. 

Of course, she evolved as the economy evolved, making carefully planned out career jumps to see all the different facets of the data industry, and inspiring our wide-ranging conversation. In this unique episode, we discuss the differences between banking and tech data roles, the distinction between consumer and investment banking, the importance of statistical rigor when managing data, the role that persuasion and psychology play in data, how you can use these to improve interconnectivity between departments, and what B2B SaaS can learn from B2C.</itunes:subtitle>
      <itunes:keywords>investment banking, statistical rigor, data analysis, notion, data experiments, corporate psychology, data science, consumer banking, b2c, b2b saas, interconnectivity</itunes:keywords>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>9</itunes:episode>
      <itunes:season>2</itunes:season>
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      <title>Building a culture that prioritizes learning opportunities w/ Scott Breitenother, founder and CEO of Brooklyn Data Co.</title>
      <description><![CDATA[<p>Some of our topic highlights include:</p><ul><li>Scott’s journey to becoming “unhireable” </li><li>Why management consulting is so intense</li><li>Why you need tool conventions</li><li>The risk of analysis paralysis</li><li>The value of career learning vs salaries</li><li>To what degree trust is earned through work and wisdom rather than title or name</li><li>Empowering others through data</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/scottbreitenother/">Scott on LinkedIn</a></li><li><a href="https://twitter.com/s_breitenother">Scott on Twitter</a></li><li><a href="https://twitter.com/BrooklynData">Brooklyn Data Co. on Twitter</a></li><li><a href="https://www.linkedin.com/company/brooklyndata/">Brooklyn Data Co. on LinkedIn</a></li><li><a href="https://brooklyndata.co/">Brooklyn Data Co.’s website</a></li><li><a href="https://twitter.com/LocalOptimistic">Locally Optimistic on Twitter</a></li><li><a href="https://locallyoptimistic.slack.com/">Locally Optimistic on Slack</a></li><li><a href="https://locallyoptimistic.com/">Locally Optimistic’s website</a></li></ul><p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></description>
      <pubDate>Thu, 23 Jun 2022 23:00:00 +0000</pubDate>
      <author>allie@getcensus.com (Scott Breitenother)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>Some of our topic highlights include:</p><ul><li>Scott’s journey to becoming “unhireable” </li><li>Why management consulting is so intense</li><li>Why you need tool conventions</li><li>The risk of analysis paralysis</li><li>The value of career learning vs salaries</li><li>To what degree trust is earned through work and wisdom rather than title or name</li><li>Empowering others through data</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/scottbreitenother/">Scott on LinkedIn</a></li><li><a href="https://twitter.com/s_breitenother">Scott on Twitter</a></li><li><a href="https://twitter.com/BrooklynData">Brooklyn Data Co. on Twitter</a></li><li><a href="https://www.linkedin.com/company/brooklyndata/">Brooklyn Data Co. on LinkedIn</a></li><li><a href="https://brooklyndata.co/">Brooklyn Data Co.’s website</a></li><li><a href="https://twitter.com/LocalOptimistic">Locally Optimistic on Twitter</a></li><li><a href="https://locallyoptimistic.slack.com/">Locally Optimistic on Slack</a></li><li><a href="https://locallyoptimistic.com/">Locally Optimistic’s website</a></li></ul><p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/">https://www.joestevenssound.com/</a></p>
]]></content:encoded>
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      <itunes:title>Building a culture that prioritizes learning opportunities w/ Scott Breitenother, founder and CEO of Brooklyn Data Co.</itunes:title>
      <itunes:author>Scott Breitenother</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/09e25582-6210-4083-bf74-d135160558b8/f4f839b1-0ac9-444f-884d-fb5ec20f0d14/3000x3000/61fb58c2b398fc56d71db362-the-sequel-show-cover.jpg?aid=rss_feed"/>
      <itunes:duration>00:56:23</itunes:duration>
      <itunes:summary>This week’s episode is a great one if you feel like you could use some guidance in your data career. For EP 24, I chatted with Scott Breitenother, Founder and CEO of Brooklyn Data Co., a data and analytics consultancy that helps your team build a full modern data stack specific to your needs. 

While Scott might be deemed “unhireable”, the skills he gained during his early years of management consulting experience (conducting quantitative analysis, structuring unstructured problems, and creating something out of nothing) are what makes Brooklyn Data Co. so good at what they do. In the episode, we take a look at Scott’s career journey, what makes management consulting so intense, the importance of tool conventions, prioritizing career learning over your salary, why your track record and wisdom are more important than your title, and how to empower others through data.</itunes:summary>
      <itunes:subtitle>This week’s episode is a great one if you feel like you could use some guidance in your data career. For EP 24, I chatted with Scott Breitenother, Founder and CEO of Brooklyn Data Co., a data and analytics consultancy that helps your team build a full modern data stack specific to your needs. 

While Scott might be deemed “unhireable”, the skills he gained during his early years of management consulting experience (conducting quantitative analysis, structuring unstructured problems, and creating something out of nothing) are what makes Brooklyn Data Co. so good at what they do. In the episode, we take a look at Scott’s career journey, what makes management consulting so intense, the importance of tool conventions, prioritizing career learning over your salary, why your track record and wisdom are more important than your title, and how to empower others through data.</itunes:subtitle>
      <itunes:keywords>management consulting, dbt, data team, career learning, prioritize learning, tool conventions, data careers, data tools</itunes:keywords>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>8</itunes:episode>
      <itunes:season>2</itunes:season>
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      <title>Building a better future for interviewing and evaluating technical talent w/ David Corea, senior analytics manager at CoderPad</title>
      <description><![CDATA[<p>Some of our topic highlights include:</p><ul><li>How CoderPad approaches technical interviewing for their data team</li><li>What makes running technical interviews at most organizations so difficult</li><li>How we, as interviewers, can do a better job at helping candidates see we’re on the same side</li><li>What analytics teams should track during their hiring process</li><li>How to build KPIs that reflect your rate of learning in your organization</li><li>The five “whys” (and how to ask them)</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/davidcorea/">David on LinkedIn </a></li><li><a href="https://twitter.com/CoderPad">CoderPad on Twitter</a></li><li><a href="https://www.linkedin.com/company/coderpad/">CoderPad on LinkedIn</a></li><li><a href="https://coderpad.io/">CoderPad’s website</a></li></ul><p>Music by the talented <a href="https://www.joestevenssound.com/">Joe Stevens.</a></p>
]]></description>
      <pubDate>Fri, 27 May 2022 17:44:41 +0000</pubDate>
      <author>allie@getcensus.com (David Corea)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>Some of our topic highlights include:</p><ul><li>How CoderPad approaches technical interviewing for their data team</li><li>What makes running technical interviews at most organizations so difficult</li><li>How we, as interviewers, can do a better job at helping candidates see we’re on the same side</li><li>What analytics teams should track during their hiring process</li><li>How to build KPIs that reflect your rate of learning in your organization</li><li>The five “whys” (and how to ask them)</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather to sharpen their skills. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/davidcorea/">David on LinkedIn </a></li><li><a href="https://twitter.com/CoderPad">CoderPad on Twitter</a></li><li><a href="https://www.linkedin.com/company/coderpad/">CoderPad on LinkedIn</a></li><li><a href="https://coderpad.io/">CoderPad’s website</a></li></ul><p>Music by the talented <a href="https://www.joestevenssound.com/">Joe Stevens.</a></p>
]]></content:encoded>
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      <itunes:title>Building a better future for interviewing and evaluating technical talent w/ David Corea, senior analytics manager at CoderPad</itunes:title>
      <itunes:author>David Corea</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/09e25582-6210-4083-bf74-d135160558b8/1af9025f-5d9f-44c2-b3ef-be5775588b5f/3000x3000/61fb58c2b398fc56d71db362-the-sequel-show-cover.jpg?aid=rss_feed"/>
      <itunes:duration>00:55:27</itunes:duration>
      <itunes:summary>This week’s episode is a great one if you or your team is focused on hiring data practitioners this year (like most teams). For EP 23, I had the chance to sit down with David Corea, senior analytics manager at CoderPad, a technical assessment software aimed at improving how we interview technical candidates. 

While CoderPad isn’t specific to interviewing data practitioners, it’s a great example of one of the many ways the data industry can learn from the best practices of the software engineering world. In the episode, we look at how CoderPad uses data to improve their product, how we as interviewers can minimize interview stress, how to measure learning in an organization obsessed with progress, and the importance of the five whys. </itunes:summary>
      <itunes:subtitle>This week’s episode is a great one if you or your team is focused on hiring data practitioners this year (like most teams). For EP 23, I had the chance to sit down with David Corea, senior analytics manager at CoderPad, a technical assessment software aimed at improving how we interview technical candidates. 

While CoderPad isn’t specific to interviewing data practitioners, it’s a great example of one of the many ways the data industry can learn from the best practices of the software engineering world. In the episode, we look at how CoderPad uses data to improve their product, how we as interviewers can minimize interview stress, how to measure learning in an organization obsessed with progress, and the importance of the five whys. </itunes:subtitle>
      <itunes:keywords>data engineering, developers, asynchronous assessments, interview software, process bias, programming languages, technical interviews, programming, interview candidates, software engineering</itunes:keywords>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>7</itunes:episode>
      <itunes:season>2</itunes:season>
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    <item>
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      <title>How community supports, inspires &amp; pushes the data industry to learn faster w/ Tristan Handy, founder and CEO of dbt Labs</title>
      <description><![CDATA[<p>Some of our topic highlights include:</p><ul><li>The history of dbt Labs (and the dbt community)</li><li>How community became an opportunity for the dbt Labs team to transfer their internal culture and values outward (and how they did so) </li><li>The original vision and purpose behind the dbt community (and how it’s matured)</li><li>How community helps data practitioners glean second-hand gold from software engineering (and what this means for functional engineering)</li><li>How real time is real time enough?</li><li>How to help engineers better conceptualize the world of modern data</li><li>The bull and bear cases for the semantic layer</li><li>If data and analytics will develop into a singular-language world</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/tristanhandy/">Tristan on LinkedIn </a></li><li><a href="https://twitter.com/jthandy">Tristan on Twitter</a></li><li><a href="https://roundup.getdbt.com/about?sort=people">Tristan’s newsletter</a></li><li><a href="https://www.getdbt.com/community/join-the-community/">dbt Slack community</a></li><li><a href="https://twitter.com/dbt_labs">dbt Labs on Twitter</a></li><li><a href="https://www.linkedin.com/company/dbtlabs/">dbt Labs on LinkedIn</a></li><li><a href="https://www.getdbt.com/">dbt’s website</a></li></ul><p>Music by the talented <a href="https://www.joestevenssound.com/">Joe Stevens</a>. </p>
]]></description>
      <pubDate>Thu, 12 May 2022 21:57:02 +0000</pubDate>
      <author>allie@getcensus.com (Tristan Handy)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>Some of our topic highlights include:</p><ul><li>The history of dbt Labs (and the dbt community)</li><li>How community became an opportunity for the dbt Labs team to transfer their internal culture and values outward (and how they did so) </li><li>The original vision and purpose behind the dbt community (and how it’s matured)</li><li>How community helps data practitioners glean second-hand gold from software engineering (and what this means for functional engineering)</li><li>How real time is real time enough?</li><li>How to help engineers better conceptualize the world of modern data</li><li>The bull and bear cases for the semantic layer</li><li>If data and analytics will develop into a singular-language world</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/">The Operational Analytics Club</a>, where all your favorite data leaders gather. </p><p>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? <a href="mailto:allie@getcensus.com">Reach out to our content and community team</a>. </p><p>Resources:</p><ul><li><a href="https://www.linkedin.com/in/tristanhandy/">Tristan on LinkedIn </a></li><li><a href="https://twitter.com/jthandy">Tristan on Twitter</a></li><li><a href="https://roundup.getdbt.com/about?sort=people">Tristan’s newsletter</a></li><li><a href="https://www.getdbt.com/community/join-the-community/">dbt Slack community</a></li><li><a href="https://twitter.com/dbt_labs">dbt Labs on Twitter</a></li><li><a href="https://www.linkedin.com/company/dbtlabs/">dbt Labs on LinkedIn</a></li><li><a href="https://www.getdbt.com/">dbt’s website</a></li></ul><p>Music by the talented <a href="https://www.joestevenssound.com/">Joe Stevens</a>. </p>
]]></content:encoded>
      <enclosure length="196806446" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/d22b3cf5-a7b4-40bd-9f1d-03521b1a6da6/audio/348af0b6-adad-45bc-9fef-cdd02ff30171/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>How community supports, inspires &amp; pushes the data industry to learn faster w/ Tristan Handy, founder and CEO of dbt Labs</itunes:title>
      <itunes:author>Tristan Handy</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/2ec85d8b-16d5-4f75-880b-ee0def10972f/f7f624e6-f94d-4af0-9d63-f199274a272c/3000x3000/61fb58c2b398fc56d71db362-the-sequel-show-cover.jpg?aid=rss_feed"/>
      <itunes:duration>01:22:00</itunes:duration>
      <itunes:summary>This week’s episode is with one of my favorite data experts and thought leaders in the industry and I’m so excited to release it to you all. For EP 22, I sat down with none other than Tristan Handy, CEO and founder of dbt Labs. 

If you’re a dbt user (or a member of their massive online community), you probably know of Tristan, especially if you’re also subscribed to his newsletter, The Analytics Engineering Roundup (co-written by the also-awesome Anna Filippova). 

In the episode, we take a deep dive into the role community plays in pushing the data industry forward, inspiring us all to do better, and educating the next generation of data experts to pick up our torch. Don’t worry, we also dive into some nerdy, technical topics (including the subject of Tristan’s last newsletter: the semantic layer). </itunes:summary>
      <itunes:subtitle>This week’s episode is with one of my favorite data experts and thought leaders in the industry and I’m so excited to release it to you all. For EP 22, I sat down with none other than Tristan Handy, CEO and founder of dbt Labs. 

If you’re a dbt user (or a member of their massive online community), you probably know of Tristan, especially if you’re also subscribed to his newsletter, The Analytics Engineering Roundup (co-written by the also-awesome Anna Filippova). 

In the episode, we take a deep dive into the role community plays in pushing the data industry forward, inspiring us all to do better, and educating the next generation of data experts to pick up our torch. Don’t worry, we also dive into some nerdy, technical topics (including the subject of Tristan’s last newsletter: the semantic layer). </itunes:subtitle>
      <itunes:keywords>data engineering, dbt labs, data community, analytics engineering, dbt community, semantic layer, data modeling</itunes:keywords>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>6</itunes:episode>
      <itunes:season>2</itunes:season>
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      <title>How to choose what goals, metrics, and systems to obsess over with Barr Moses, Co-founder &amp; CEO of Monte Carlo Data</title>
      <description><![CDATA[<p>Some of our topic highlights include:</p><ul><li>The history and background of Monte Carlo</li><li>Why the planning process is so important for data teams</li><li>How to set (and crush) a data goal</li><li>The difference between being obsessed with systems and being obsesses with goals</li><li>How data teams waste time</li><li>How often data downtime and data issues are tied to a lack of knowledge transfer and process within an org</li><li>How we can continue to improve the corporate culture around data</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes" target="_blank">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/" target="_blank">The Operational Analytics Club</a>, where all your favorite data leaders gather. </p><p><i>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? </i><a href="mailto:allie@getcensus.com" target="_blank"><i>Reach out to our content and community team. </i></a></p><p><strong>Resources:</strong></p><ul><li><a href="https://www.linkedin.com/in/barrmoses/" target="_blank">Barr Moses on LinkedIn </a></li><li><a href="https://twitter.com/BM_DataDowntime" target="_blank">Barr Moses on Twitter </a></li><li><a href="https://barrmoses.medium.com/" target="_blank">Barr Moses on Medium</a></li><li><a href="https://twitter.com/montecarlodata" target="_blank">Monte Carlo on Twitter </a></li><li><a href="https://www.linkedin.com/company/monte-carlo-data/" target="_blank">Monte Carlo on LinkedIn </a></li><li><a href="https://www.montecarlodata.com/" target="_blank">Monte Carlo's website</a></li></ul><p>Music by the talented <a href="https://www.joestevenssound.com/" target="_blank">Joe Stevens. </a></p>
]]></description>
      <pubDate>Mon, 4 Apr 2022 22:07:09 +0000</pubDate>
      <author>allie@getcensus.com (Barr Moses)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>Some of our topic highlights include:</p><ul><li>The history and background of Monte Carlo</li><li>Why the planning process is so important for data teams</li><li>How to set (and crush) a data goal</li><li>The difference between being obsessed with systems and being obsesses with goals</li><li>How data teams waste time</li><li>How often data downtime and data issues are tied to a lack of knowledge transfer and process within an org</li><li>How we can continue to improve the corporate culture around data</li></ul><p>As always, I'd love to hear your thoughts on the episode over on Twitter <a href="https://twitter.com/borisjabes" target="_blank">@borisjabes</a>.</p><p>Want to discuss the best practices we covered in this episode? Come hang out in <a href="https://www.operationalanalytics.club/" target="_blank">The Operational Analytics Club</a>, where all your favorite data leaders gather. </p><p><i>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? </i><a href="mailto:allie@getcensus.com" target="_blank"><i>Reach out to our content and community team. </i></a></p><p><strong>Resources:</strong></p><ul><li><a href="https://www.linkedin.com/in/barrmoses/" target="_blank">Barr Moses on LinkedIn </a></li><li><a href="https://twitter.com/BM_DataDowntime" target="_blank">Barr Moses on Twitter </a></li><li><a href="https://barrmoses.medium.com/" target="_blank">Barr Moses on Medium</a></li><li><a href="https://twitter.com/montecarlodata" target="_blank">Monte Carlo on Twitter </a></li><li><a href="https://www.linkedin.com/company/monte-carlo-data/" target="_blank">Monte Carlo on LinkedIn </a></li><li><a href="https://www.montecarlodata.com/" target="_blank">Monte Carlo's website</a></li></ul><p>Music by the talented <a href="https://www.joestevenssound.com/" target="_blank">Joe Stevens. </a></p>
]]></content:encoded>
      <enclosure length="46978102" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/13752cda-4ebc-4aa7-9e85-a5d0dbb29ba9/audio/3fb81b9e-8842-43a0-bb53-9d382a7b2e5c/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>How to choose what goals, metrics, and systems to obsess over with Barr Moses, Co-founder &amp; CEO of Monte Carlo Data</itunes:title>
      <itunes:author>Barr Moses</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/2ec85d8b-16d5-4f75-880b-ee0def10972f/41b93020-07c6-4d0c-a69d-3bc5024df969/3000x3000/61fb58c2b398fc56d71db362-the-sequel-show-cover.jpg?aid=rss_feed"/>
      <itunes:duration>00:48:57</itunes:duration>
      <itunes:summary>This week I’m joined by none other than Barr Moses, Co-founder and CEO of Monte Carlo Data and all around awesome data thought leader. Our conversation centered around how to ensure data teams focus on the right systems and goals and don’t waste time hyper-focusing on the wrong metrics. This is a great episode for data leaders and data ICs alike who want to get more out of their work and increase their impact. </itunes:summary>
      <itunes:subtitle>This week I’m joined by none other than Barr Moses, Co-founder and CEO of Monte Carlo Data and all around awesome data thought leader. Our conversation centered around how to ensure data teams focus on the right systems and goals and don’t waste time hyper-focusing on the wrong metrics. This is a great episode for data leaders and data ICs alike who want to get more out of their work and increase their impact. </itunes:subtitle>
      <itunes:keywords>operational analytics, barr moses, data observability, monte carlo data, reverse etl, data quality, data metrics</itunes:keywords>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>5</itunes:episode>
      <itunes:season>2</itunes:season>
    </item>
    <item>
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      <title>Growing a meaningful data career ft. Jessica Cherny, senior data analyst at Ironclad</title>
      <description><![CDATA[<p>As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.</p><p><i>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? </i><a href="mailto:allie@getcensus.com" target="_blank"><i>Reach out to our content and community team. </i></a></p><p><strong>Resources:</strong></p><ul><li><a href="https://www.linkedin.com/in/jessicacherny/" target="_blank">Jessica Cherny on LinkedIn </a></li><li><a href="https://twitter.com/jessica_cherny" target="_blank">Jessica Cherny on Twitter</a></li><li><a href="https://twitter.com/data_angels" target="_blank">Data Angels on Twitter </a></li><li><a href="https://www.linkedin.com/company/ironclad-inc-/" target="_blank">Ironclad on LinkedIn </a></li><li><a href="https://twitter.com/ironclad_inc" target="_blank">Ironclad on Twitter</a></li><li><a href="https://ironcladapp.com/" target="_blank">Ironclad's website </a></li></ul><p>Music by the talented <a href="https://www.joestevenssound.com/" target="_blank">Joe Stevens. </a></p>
]]></description>
      <pubDate>Fri, 11 Mar 2022 22:59:04 +0000</pubDate>
      <author>allie@getcensus.com (Jessica Cherny)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.</p><p><i>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? </i><a href="mailto:allie@getcensus.com" target="_blank"><i>Reach out to our content and community team. </i></a></p><p><strong>Resources:</strong></p><ul><li><a href="https://www.linkedin.com/in/jessicacherny/" target="_blank">Jessica Cherny on LinkedIn </a></li><li><a href="https://twitter.com/jessica_cherny" target="_blank">Jessica Cherny on Twitter</a></li><li><a href="https://twitter.com/data_angels" target="_blank">Data Angels on Twitter </a></li><li><a href="https://www.linkedin.com/company/ironclad-inc-/" target="_blank">Ironclad on LinkedIn </a></li><li><a href="https://twitter.com/ironclad_inc" target="_blank">Ironclad on Twitter</a></li><li><a href="https://ironcladapp.com/" target="_blank">Ironclad's website </a></li></ul><p>Music by the talented <a href="https://www.joestevenssound.com/" target="_blank">Joe Stevens. </a></p>
]]></content:encoded>
      <enclosure length="72354076" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/a3a055eb-3cfd-4ac3-bf6f-ba2a6141a1c1/audio/bd6efe83-5a96-4539-9036-93fca00484ef/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>Growing a meaningful data career ft. Jessica Cherny, senior data analyst at Ironclad</itunes:title>
      <itunes:author>Jessica Cherny</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/2ec85d8b-16d5-4f75-880b-ee0def10972f/5426968f-b70a-4f4f-ba20-d5d73bf264a7/3000x3000/61fb58c2b398fc56d71db362-the-sequel-show-cover.jpg?aid=rss_feed"/>
      <itunes:duration>01:15:23</itunes:duration>
      <itunes:summary>This week I&apos;m joined by Jessica Cherny, senior data analyst at Ironclad. Jessica is an amazing example of how to foster a genuine presence on the internet while building a career in data, and her episode is great one for folks looking to get into data or those who are at the beginning of their data careers. We touched on a lot of an interesting highlights from Jessica&apos;s education, career, and day-to-day data work, including how (and why) she joined Ironclad as a data team of one, why she created her community Data Angels (which is another amazing resource for women in data), and her recommendations for folks looking to break into the field. </itunes:summary>
      <itunes:subtitle>This week I&apos;m joined by Jessica Cherny, senior data analyst at Ironclad. Jessica is an amazing example of how to foster a genuine presence on the internet while building a career in data, and her episode is great one for folks looking to get into data or those who are at the beginning of their data careers. We touched on a lot of an interesting highlights from Jessica&apos;s education, career, and day-to-day data work, including how (and why) she joined Ironclad as a data team of one, why she created her community Data Angels (which is another amazing resource for women in data), and her recommendations for folks looking to break into the field. </itunes:subtitle>
      <itunes:keywords>careers in data, women in data, operational analytics, community, data analytics, data analyst, ironclad, reverse etl</itunes:keywords>
      <itunes:explicit>yes</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>4</itunes:episode>
      <itunes:season>2</itunes:season>
    </item>
    <item>
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      <title>What it means to work with a &quot;keeping the lights on&quot; perspective in data ft. Egor Gryaznov, co-founder and CTO of Bigeye</title>
      <description><![CDATA[<p>As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.</p><p><i>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? </i><a href="mailto:allie@getcensus.com" target="_blank"><i>Reach out to our content and community team. </i></a></p><p><strong>Resources:</strong></p><ul><li><a href="https://www.bigeye.com/" target="_blank">Bigeye’s website</a></li><li><a href="https://twitter.com/bigeyedata" target="_blank">Bigeye on Twitter</a></li><li><a href="https://www.linkedin.com/company/bigeye-data/" target="_blank">Bigeye on Linkedin</a></li><li><a href="https://medium.com/bigeye" target="_blank">Bigeye on Medium</a></li><li><a href="https://www.linkedin.com/in/egorgryaznov/" target="_blank">Egor on Linkedin</a></li></ul><p>Music by the talented <a href="https://www.joestevenssound.com/" target="_blank">Joe Stevens. </a></p>
]]></description>
      <pubDate>Fri, 18 Feb 2022 21:37:19 +0000</pubDate>
      <author>allie@getcensus.com (Egor Gryaznov)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.</p><p><i>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? </i><a href="mailto:allie@getcensus.com" target="_blank"><i>Reach out to our content and community team. </i></a></p><p><strong>Resources:</strong></p><ul><li><a href="https://www.bigeye.com/" target="_blank">Bigeye’s website</a></li><li><a href="https://twitter.com/bigeyedata" target="_blank">Bigeye on Twitter</a></li><li><a href="https://www.linkedin.com/company/bigeye-data/" target="_blank">Bigeye on Linkedin</a></li><li><a href="https://medium.com/bigeye" target="_blank">Bigeye on Medium</a></li><li><a href="https://www.linkedin.com/in/egorgryaznov/" target="_blank">Egor on Linkedin</a></li></ul><p>Music by the talented <a href="https://www.joestevenssound.com/" target="_blank">Joe Stevens. </a></p>
]]></content:encoded>
      <enclosure length="41442233" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/19f093b9-0be5-493c-9663-9dd7c373b4ba/audio/af99be01-83b5-4f57-8d32-09aab24bb9e7/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>What it means to work with a &quot;keeping the lights on&quot; perspective in data ft. Egor Gryaznov, co-founder and CTO of Bigeye</itunes:title>
      <itunes:author>Egor Gryaznov</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/2ec85d8b-16d5-4f75-880b-ee0def10972f/dc14321d-2116-484c-9068-8eab53f712ce/3000x3000/61fb58c2b398fc56d71db362-the-sequel-show-cover.jpg?aid=rss_feed"/>
      <itunes:duration>00:43:11</itunes:duration>
      <itunes:summary>This week I’m joined by one of my favorite data leaders, Egor Gryaznov, the co-founder and CTO of data observability company Bigeye. The thread that connected our conversation this episode was what it means to work with a &quot;keeping the lights on&quot; perspective in data, but we touched on a lot of great material, including Egor&apos;s time at Uber, how his first company convinced him to join their data team, how we can leverage computer engineering principles in data (and beyond), data warehouse planning, and the future of Bigeye. </itunes:summary>
      <itunes:subtitle>This week I’m joined by one of my favorite data leaders, Egor Gryaznov, the co-founder and CTO of data observability company Bigeye. The thread that connected our conversation this episode was what it means to work with a &quot;keeping the lights on&quot; perspective in data, but we touched on a lot of great material, including Egor&apos;s time at Uber, how his first company convinced him to join their data team, how we can leverage computer engineering principles in data (and beyond), data warehouse planning, and the future of Bigeye. </itunes:subtitle>
      <itunes:keywords>data engineering, operational analytics, data leaders, computer engineering, data warehousing, data observability, bigeye, reverse etl</itunes:keywords>
      <itunes:explicit>yes</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>3</itunes:episode>
      <itunes:season>2</itunes:season>
    </item>
    <item>
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      <title>Scaling reliable data (and human) pipelines ft. Marc Stone, head of analytics at ClickUp</title>
      <description><![CDATA[<p>As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.</p><p><i>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? Reach out to our content and community team. </i></p><p><strong>Resources:</strong></p><ul><li><a href="https://www.linkedin.com/in/marcstone/" target="_blank">Marc Stone on Linkedin</a> </li><li><a href="https://clickup.com/" target="_blank">ClickUp's website</a></li><li><a href="https://www.linkedin.com/company/clickup-app/" target="_blank">ClickUp on Linkedin</a></li><li><a href="https://twitter.com/clickup" target="_blank">ClickUp on Twitter</a></li></ul><p>Music by the talented <a href="https://www.joestevenssound.com/" target="_blank">Joe Stevens. </a></p>
]]></description>
      <pubDate>Fri, 28 Jan 2022 08:00:00 +0000</pubDate>
      <author>allie@getcensus.com (Marc Stone)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>As always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.</p><p><i>Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? Reach out to our content and community team. </i></p><p><strong>Resources:</strong></p><ul><li><a href="https://www.linkedin.com/in/marcstone/" target="_blank">Marc Stone on Linkedin</a> </li><li><a href="https://clickup.com/" target="_blank">ClickUp's website</a></li><li><a href="https://www.linkedin.com/company/clickup-app/" target="_blank">ClickUp on Linkedin</a></li><li><a href="https://twitter.com/clickup" target="_blank">ClickUp on Twitter</a></li></ul><p>Music by the talented <a href="https://www.joestevenssound.com/" target="_blank">Joe Stevens. </a></p>
]]></content:encoded>
      <enclosure length="54434076" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/70c68d9e-2331-455c-bb01-40bbb4336684/audio/e03581d5-3ebe-403a-b151-c32cac36c037/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>Scaling reliable data (and human) pipelines ft. Marc Stone, head of analytics at ClickUp</itunes:title>
      <itunes:author>Marc Stone</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/2ec85d8b-16d5-4f75-880b-ee0def10972f/a016a57a-3c85-44ed-9113-6c2b14e5f299/3000x3000/61fb58c2b398fc56d71db362-the-sequel-show-cover.jpg?aid=rss_feed"/>
      <itunes:duration>00:56:43</itunes:duration>
      <itunes:summary>In this week&apos;s episode, I sat down (virtually) with Marc Stone, head of the analytics team at ClickUp. Marc truly understands the challenges of going from being the only person working on data to running a very large data team and we tapped into his experience to extract some awesome lessons from his career. Some of the high points include topics like what private companies can learn from governments and nonprofits, how to think about data pipelines (especially when there&apos;s a human in the mix), how to architect your systems for speed and robustness, how to stay ahead of your users&apos; needs, and what the appropriate data team size is for your maturity level. </itunes:summary>
      <itunes:subtitle>In this week&apos;s episode, I sat down (virtually) with Marc Stone, head of the analytics team at ClickUp. Marc truly understands the challenges of going from being the only person working on data to running a very large data team and we tapped into his experience to extract some awesome lessons from his career. Some of the high points include topics like what private companies can learn from governments and nonprofits, how to think about data pipelines (especially when there&apos;s a human in the mix), how to architect your systems for speed and robustness, how to stay ahead of your users&apos; needs, and what the appropriate data team size is for your maturity level. </itunes:subtitle>
      <itunes:keywords>data hiring, data leaders, data teams, data maturity, data architecture, data pipelines</itunes:keywords>
      <itunes:explicit>yes</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>2</itunes:episode>
      <itunes:season>2</itunes:season>
    </item>
    <item>
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      <title>What data teams can learn from finance ft. Jeremiah Lowin, CEO of Prefect</title>
      <description><![CDATA[<p>Before we get into the episode notes, I want to take a beat to thank all of you for supporting the <em>Show</em> over the last year. It's been amazing watching it go from a fun way to connect with some of my favorite folks in data to a full, polished podcast (featuring even more awesome people). We couldn't do it without you and I'm looking forward to giving the best and brightest of our industry the stage in the coming year. </p>
<p>To kick things off with season 2, we have a great episode with <a href="https://www.linkedin.com/in/jlowin" rel="noopener">Jeremiah Lowin</a>, founder and CEO of dataflow automation tool <a href="https://www.prefect.io/" rel="noopener">Prefect</a>. In this 1-hour, 7-minute episode, Jeremiah and I dive into the lessons that the wider data industry can learn from the experts in data finance. Some of the major points include:</p>
<ul>
 <li>How he got his start in data finance</li>
 <li>The difference in reporting in terms of uncertainty vs outcomes</li>
 <li>The case for hearing/focusing on problems vs solutions</li>
 <li>Building non-political organizational culture</li>
  <li>Non-managerial growth in data careers</li>
</ul>
<p>As always, let me know what you think of the newest episode over on Twitter at <a href="https://twitter.com/borisjabes" rel="noopener">@borisjabes</a>. </p>
<p><strong>Resources:</strong></p>
<p>Prefect’s Website: <a href="https://www.prefect.io/"><u>https://www.prefect.io/</u></a></p>
<p>Find Jeremiah on Twitter:<a href="https://twitter.com/jlowin"><u>https://twitter.com/jlowin</u></a></p>
<p>Find Jeremiah on Linkedin: <a href="https://www.linkedin.com/in/jlowin/"><u>https://www.linkedin.com/in/jlowin/</u></a></p>
<p>Prefect’s Linkedin: <a href="https://www.linkedin.com/company/prefect/"><u>https://www.linkedin.com/company/prefect/</u></a></p>
<p>Prefect’s Twitter: <a href="https://twitter.com/PrefectIO"><u>https://twitter.com/PrefectIO</u></a></p>
<p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/"><u>https://www.joestevenssound.com/</u></a></p>
<p><br /></p>
<p><em>Know someone you think would make an awesome guest on the podcast (you can totally nominate yourself, too)? Send your suggestions to our </em><a href="mailto:allie@getcensus.com" rel="noopener"><em>content and community team</em></a><em>.</em></p>
]]></description>
      <pubDate>Wed, 12 Jan 2022 23:59:59 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>Before we get into the episode notes, I want to take a beat to thank all of you for supporting the <em>Show</em> over the last year. It's been amazing watching it go from a fun way to connect with some of my favorite folks in data to a full, polished podcast (featuring even more awesome people). We couldn't do it without you and I'm looking forward to giving the best and brightest of our industry the stage in the coming year. </p>
<p>To kick things off with season 2, we have a great episode with <a href="https://www.linkedin.com/in/jlowin" rel="noopener">Jeremiah Lowin</a>, founder and CEO of dataflow automation tool <a href="https://www.prefect.io/" rel="noopener">Prefect</a>. In this 1-hour, 7-minute episode, Jeremiah and I dive into the lessons that the wider data industry can learn from the experts in data finance. Some of the major points include:</p>
<ul>
 <li>How he got his start in data finance</li>
 <li>The difference in reporting in terms of uncertainty vs outcomes</li>
 <li>The case for hearing/focusing on problems vs solutions</li>
 <li>Building non-political organizational culture</li>
  <li>Non-managerial growth in data careers</li>
</ul>
<p>As always, let me know what you think of the newest episode over on Twitter at <a href="https://twitter.com/borisjabes" rel="noopener">@borisjabes</a>. </p>
<p><strong>Resources:</strong></p>
<p>Prefect’s Website: <a href="https://www.prefect.io/"><u>https://www.prefect.io/</u></a></p>
<p>Find Jeremiah on Twitter:<a href="https://twitter.com/jlowin"><u>https://twitter.com/jlowin</u></a></p>
<p>Find Jeremiah on Linkedin: <a href="https://www.linkedin.com/in/jlowin/"><u>https://www.linkedin.com/in/jlowin/</u></a></p>
<p>Prefect’s Linkedin: <a href="https://www.linkedin.com/company/prefect/"><u>https://www.linkedin.com/company/prefect/</u></a></p>
<p>Prefect’s Twitter: <a href="https://twitter.com/PrefectIO"><u>https://twitter.com/PrefectIO</u></a></p>
<p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/"><u>https://www.joestevenssound.com/</u></a></p>
<p><br /></p>
<p><em>Know someone you think would make an awesome guest on the podcast (you can totally nominate yourself, too)? Send your suggestions to our </em><a href="mailto:allie@getcensus.com" rel="noopener"><em>content and community team</em></a><em>.</em></p>
]]></content:encoded>
      <enclosure length="64866337" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/ceb589e0-4ea8-40df-a4ef-d4fe318a88ff/audio/4024190f-b301-467f-a4b5-339bda5e8444/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>What data teams can learn from finance ft. Jeremiah Lowin, CEO of Prefect</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/ceb589e0-4ea8-40df-a4ef-d4fe318a88ff/3000x3000/13355259-1628186075125-6d46f32169a37.jpg?aid=rss_feed"/>
      <itunes:duration>01:07:35</itunes:duration>
      <itunes:summary>Before we get into the episode notes, I want to take a beat to thank all of you for supporting the Show over the last year. It&apos;s been amazing watching it go from a fun way to connect with some of my favorite folks in data to a full, polished podcast (featuring even more awesome people). We couldn&apos;t do it without you and I&apos;m looking forward to giving the best and brightest of our industry the stage in the coming year. 
To kick things off with season 2, we have a great episode with Jeremiah Lowin, founder and CEO of dataflow automation tool Prefect. In this 1-hour, 7-minute episode, Jeremiah and I dive into the lessons that the wider data industry can learn from the experts in data finance. Some of the major points include:

 How he got his start in data finance
 The difference in reporting in terms of uncertainty vs outcomes
 The case for hearing/focusing on problems vs solutions
 Building non-political organizational culture
  Non-managerial growth in data careers

As always, let me know what you think of the newest episode over on Twitter at @borisjabes. 
Resources:
Prefect’s Website: https://www.prefect.io/
Find Jeremiah on Twitter:https://twitter.com/jlowin
Find Jeremiah on Linkedin: https://www.linkedin.com/in/jlowin/
Prefect’s Linkedin: https://www.linkedin.com/company/prefect/
Prefect’s Twitter: https://twitter.com/PrefectIO
Music by the talented Joe Stevens: https://www.joestevenssound.com/

Know someone you think would make an awesome guest on the podcast (you can totally nominate yourself, too)? Send your suggestions to our content and community team.</itunes:summary>
      <itunes:subtitle>Before we get into the episode notes, I want to take a beat to thank all of you for supporting the Show over the last year. It&apos;s been amazing watching it go from a fun way to connect with some of my favorite folks in data to a full, polished podcast (featuring even more awesome people). We couldn&apos;t do it without you and I&apos;m looking forward to giving the best and brightest of our industry the stage in the coming year. 
To kick things off with season 2, we have a great episode with Jeremiah Lowin, founder and CEO of dataflow automation tool Prefect. In this 1-hour, 7-minute episode, Jeremiah and I dive into the lessons that the wider data industry can learn from the experts in data finance. Some of the major points include:

 How he got his start in data finance
 The difference in reporting in terms of uncertainty vs outcomes
 The case for hearing/focusing on problems vs solutions
 Building non-political organizational culture
  Non-managerial growth in data careers

As always, let me know what you think of the newest episode over on Twitter at @borisjabes. 
Resources:
Prefect’s Website: https://www.prefect.io/
Find Jeremiah on Twitter:https://twitter.com/jlowin
Find Jeremiah on Linkedin: https://www.linkedin.com/in/jlowin/
Prefect’s Linkedin: https://www.linkedin.com/company/prefect/
Prefect’s Twitter: https://twitter.com/PrefectIO
Music by the talented Joe Stevens: https://www.joestevenssound.com/

Know someone you think would make an awesome guest on the podcast (you can totally nominate yourself, too)? Send your suggestions to our content and community team.</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>1</itunes:episode>
      <itunes:season>2</itunes:season>
    </item>
    <item>
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      <title>Lessons in building and scaling data teams w/ Erik Bernhardsson, former CTO of Better.com</title>
      <description><![CDATA[<p>In today’s episode, I talk with Erik Bernhardsson, the former CTO at Better.com and early engineering manager at Spotify. We talked about how to build recommendation systems (including whether you should build them at all). We also covered some best practices on building and scaling data teams, what the essence of music is, and whether data teams should be thought of as an engineering discipline (and what programming languages we should embrace in the data world). We also took a deep dive into how to manage and govern the data team and how to measure the impact. </p>
<p>Also - if you're looking to stay up to date on the best and most colorful data industry commentary between episodes, check out our new newsletter: <a href="https://blog.getcensus.com/#subscribe" target="_blank"><em>The Operational Analytics Diggest</em></a><em>. </em></p>
<p><strong>Resources:</strong></p>
<p>Erik’s Website: <a href="https://erikbern.com/" target="_blank"><u>https://erikbern.com/</u></a></p>
<p>Find Erik on Twitter:<a href="https://twitter.com/bernhardsson" target="_blank"><u>https://twitter.com/bernhardsson</u></a></p>
<p>Find Erik on Linkedin: <a href="https://linkedin.com/in/erikbern/" target="_blank"><u>https://linkedin.com/in/erikbern/</u></a></p>
<p>Erik’s Github: <a href="https://github.com/erikbern" target="_blank"><u>https://github.com/erikbern</u></a></p>
<p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/" target="_blank"><u>https://www.joestevenssound.com/</u></a></p>
]]></description>
      <pubDate>Wed, 8 Dec 2021 16:50:31 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In today’s episode, I talk with Erik Bernhardsson, the former CTO at Better.com and early engineering manager at Spotify. We talked about how to build recommendation systems (including whether you should build them at all). We also covered some best practices on building and scaling data teams, what the essence of music is, and whether data teams should be thought of as an engineering discipline (and what programming languages we should embrace in the data world). We also took a deep dive into how to manage and govern the data team and how to measure the impact. </p>
<p>Also - if you're looking to stay up to date on the best and most colorful data industry commentary between episodes, check out our new newsletter: <a href="https://blog.getcensus.com/#subscribe" target="_blank"><em>The Operational Analytics Diggest</em></a><em>. </em></p>
<p><strong>Resources:</strong></p>
<p>Erik’s Website: <a href="https://erikbern.com/" target="_blank"><u>https://erikbern.com/</u></a></p>
<p>Find Erik on Twitter:<a href="https://twitter.com/bernhardsson" target="_blank"><u>https://twitter.com/bernhardsson</u></a></p>
<p>Find Erik on Linkedin: <a href="https://linkedin.com/in/erikbern/" target="_blank"><u>https://linkedin.com/in/erikbern/</u></a></p>
<p>Erik’s Github: <a href="https://github.com/erikbern" target="_blank"><u>https://github.com/erikbern</u></a></p>
<p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/" target="_blank"><u>https://www.joestevenssound.com/</u></a></p>
]]></content:encoded>
      <enclosure length="71402383" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/8a88d832-82e9-499a-b6c8-c741d902822e/audio/e2f956a0-f76d-4ed0-9d18-c021cb3f7c8c/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>Lessons in building and scaling data teams w/ Erik Bernhardsson, former CTO of Better.com</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/8a88d832-82e9-499a-b6c8-c741d902822e/3000x3000/13355259-1628186075125-6d46f32169a37.jpg?aid=rss_feed"/>
      <itunes:duration>01:14:23</itunes:duration>
      <itunes:summary>In today’s episode, I talk with Erik Bernhardsson, the former CTO at Better.com and early engineering manager at Spotify. We talked about how to build recommendation systems (including whether you should build them at all). We also covered some best practices on building and scaling data teams, what the essence of music is, and whether data teams should be thought of as an engineering discipline (and what programming languages we should embrace in the data world). We also took a deep dive into how to manage and govern the data team and how to measure the impact. 
Also - if you&apos;re looking to stay up to date on the best and most colorful data industry commentary between episodes, check out our new newsletter: The Operational Analytics Diggest. 
Resources:
Erik’s Website: https://erikbern.com/
Find Erik on Twitter:https://twitter.com/bernhardsson
Find Erik on Linkedin: https://linkedin.com/in/erikbern/
Erik’s Github: https://github.com/erikbern
Music by the talented Joe Stevens: https://www.joestevenssound.com/</itunes:summary>
      <itunes:subtitle>In today’s episode, I talk with Erik Bernhardsson, the former CTO at Better.com and early engineering manager at Spotify. We talked about how to build recommendation systems (including whether you should build them at all). We also covered some best practices on building and scaling data teams, what the essence of music is, and whether data teams should be thought of as an engineering discipline (and what programming languages we should embrace in the data world). We also took a deep dive into how to manage and govern the data team and how to measure the impact. 
Also - if you&apos;re looking to stay up to date on the best and most colorful data industry commentary between episodes, check out our new newsletter: The Operational Analytics Diggest. 
Resources:
Erik’s Website: https://erikbern.com/
Find Erik on Twitter:https://twitter.com/bernhardsson
Find Erik on Linkedin: https://linkedin.com/in/erikbern/
Erik’s Github: https://github.com/erikbern
Music by the talented Joe Stevens: https://www.joestevenssound.com/</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>16</itunes:episode>
      <itunes:season>1</itunes:season>
    </item>
    <item>
      <guid isPermaLink="false">8bb2f79d-1351-420c-92d6-bd0c18c5a6d5</guid>
      <title>The importance of the persuasive data team w/ Benn Stancil, chief analytics officer &amp; co-founder @ Mode</title>
      <description><![CDATA[<p>In today’s episode, I talk with Benn Stancil, chief analytics officer & co-founder at Mode. Honestly, this might be my favorite episode of the <em>Show</em> to date. We had a hearty discussion about data teams and Benn's perspective as someone who started his career as an analyst with an economics degree. Our conversation turned to more philosophical notes around what makes a data professional persuasive (and why that matters), why being wrong is OK (and sometimes a pivotal part of a successful career), and the function of data teams in organizational decisions. </p>
<p>As always, if you enjoyed this episode, please share it with a data-loving friend and let me know your thoughts on our discussion over on Twitter at <a href="https://twitter.com/borisjabes" target="_blank">@borisjabes</a>. </p>
<p><strong>Resources:</strong></p>
<p>Benn‘s Substack: <a href="https://benn.substack.com/" target="_blank"><u>https://benn.substack.com/</u></a></p>
<p>Find Benn on Twitter:<a href="https://twitter.com/bennstancil" target="_blank"><u>https://twitter.com/bennstancil</u></a></p>
<p>Find Benn on Linkedin: <a href="https://www.linkedin.com/in/benn-stancil/" target="_blank"><u>https://www.linkedin.com/in/benn-stancil/</u></a></p>
<p>Find Mode on Linkedin: <a href="https://www.linkedin.com/company/mode-analytics/" target="_blank"><u>https://www.linkedin.com/company/mode-analytics/</u></a></p>
<p>Mode’s site: <a href="https://mode.com/" target="_blank"><u>https://mode.com/</u></a></p>
<p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/" target="_blank"><u>https://www.joestevenssound.com/</u></a></p>
]]></description>
      <pubDate>Fri, 19 Nov 2021 17:00:00 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In today’s episode, I talk with Benn Stancil, chief analytics officer & co-founder at Mode. Honestly, this might be my favorite episode of the <em>Show</em> to date. We had a hearty discussion about data teams and Benn's perspective as someone who started his career as an analyst with an economics degree. Our conversation turned to more philosophical notes around what makes a data professional persuasive (and why that matters), why being wrong is OK (and sometimes a pivotal part of a successful career), and the function of data teams in organizational decisions. </p>
<p>As always, if you enjoyed this episode, please share it with a data-loving friend and let me know your thoughts on our discussion over on Twitter at <a href="https://twitter.com/borisjabes" target="_blank">@borisjabes</a>. </p>
<p><strong>Resources:</strong></p>
<p>Benn‘s Substack: <a href="https://benn.substack.com/" target="_blank"><u>https://benn.substack.com/</u></a></p>
<p>Find Benn on Twitter:<a href="https://twitter.com/bennstancil" target="_blank"><u>https://twitter.com/bennstancil</u></a></p>
<p>Find Benn on Linkedin: <a href="https://www.linkedin.com/in/benn-stancil/" target="_blank"><u>https://www.linkedin.com/in/benn-stancil/</u></a></p>
<p>Find Mode on Linkedin: <a href="https://www.linkedin.com/company/mode-analytics/" target="_blank"><u>https://www.linkedin.com/company/mode-analytics/</u></a></p>
<p>Mode’s site: <a href="https://mode.com/" target="_blank"><u>https://mode.com/</u></a></p>
<p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/" target="_blank"><u>https://www.joestevenssound.com/</u></a></p>
]]></content:encoded>
      <enclosure length="67170128" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/53ce430b-ba20-4f81-8236-aeb3afb4d6d8/audio/0542bfcd-8310-49dc-9125-10dfdfd6103d/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>The importance of the persuasive data team w/ Benn Stancil, chief analytics officer &amp; co-founder @ Mode</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/53ce430b-ba20-4f81-8236-aeb3afb4d6d8/3000x3000/13355259-1628186075125-6d46f32169a37.jpg?aid=rss_feed"/>
      <itunes:duration>01:09:59</itunes:duration>
      <itunes:summary>In today’s episode, I talk with Benn Stancil, chief analytics officer &amp; co-founder at Mode. Honestly, this might be my favorite episode of the Show to date. We had a hearty discussion about data teams and Benn&apos;s perspective as someone who started his career as an analyst with an economics degree. Our conversation turned to more philosophical notes around what makes a data professional persuasive (and why that matters), why being wrong is OK (and sometimes a pivotal part of a successful career), and the function of data teams in organizational decisions. 
As always, if you enjoyed this episode, please share it with a data-loving friend and let me know your thoughts on our discussion over on Twitter at @borisjabes. 
Resources:
Benn‘s Substack: https://benn.substack.com/
Find Benn on Twitter:https://twitter.com/bennstancil
Find Benn on Linkedin: https://www.linkedin.com/in/benn-stancil/
Find Mode on Linkedin: https://www.linkedin.com/company/mode-analytics/
Mode’s site: https://mode.com/
Music by the talented Joe Stevens: https://www.joestevenssound.com/</itunes:summary>
      <itunes:subtitle>In today’s episode, I talk with Benn Stancil, chief analytics officer &amp; co-founder at Mode. Honestly, this might be my favorite episode of the Show to date. We had a hearty discussion about data teams and Benn&apos;s perspective as someone who started his career as an analyst with an economics degree. Our conversation turned to more philosophical notes around what makes a data professional persuasive (and why that matters), why being wrong is OK (and sometimes a pivotal part of a successful career), and the function of data teams in organizational decisions. 
As always, if you enjoyed this episode, please share it with a data-loving friend and let me know your thoughts on our discussion over on Twitter at @borisjabes. 
Resources:
Benn‘s Substack: https://benn.substack.com/
Find Benn on Twitter:https://twitter.com/bennstancil
Find Benn on Linkedin: https://www.linkedin.com/in/benn-stancil/
Find Mode on Linkedin: https://www.linkedin.com/company/mode-analytics/
Mode’s site: https://mode.com/
Music by the talented Joe Stevens: https://www.joestevenssound.com/</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>15</itunes:episode>
      <itunes:season>1</itunes:season>
    </item>
    <item>
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      <title>Lessons in detecting operational issues and embracing failure as a positive w/ Monte Carlo Co-founder and CTO Lior Gavish</title>
      <description><![CDATA[<p>In today’s episode, I talk with <a href="https://www.linkedin.com/in/lgavish/"><u>Lior Gavish</u></a>, the co-founder and CTO of Monte Carlo. We talk about his security background, his previous company Sookasa, and the origin story of Monte Carlo, and much more (including the <em>infamous </em>data mesh). We also get into managing and detecting operational issues, what data managers should learn before installing alarms, and what it means to think with a “failure is a feature, not a bug” mindset. Bonus: If you’ve ever wondered if it’s better to be wrong consistently or randomly by 1%, we talk about that, too.</p>
<p><strong>Resources:</strong></p>
<p>Monte Carlo’s site: <a href="https://www.montecarlodata.com/about-us/"><u>https://www.montecarlodata.com/about-us/</u></a></p>
<p>Connect with Lior on Linkedin:<a href="https://www.linkedin.com/in/lgavish/"><u>https://www.linkedin.com/in/lgavish/</u></a></p>
<p>Find Monte Carlo on Twitter: <a href="https://twitter.com/montecarlodata"><u>https://twitter.com/montecarlodata</u></a></p>
<p>Find Monte Carlo on Linkedin: <a href="https://www.linkedin.com/company/monte-carlo-data/"><u>https://www.linkedin.com/company/monte-carlo-data/</u></a></p>
<p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/"><u>https://www.joestevenssound.com/</u></a></p>
]]></description>
      <pubDate>Fri, 5 Nov 2021 21:39:21 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In today’s episode, I talk with <a href="https://www.linkedin.com/in/lgavish/"><u>Lior Gavish</u></a>, the co-founder and CTO of Monte Carlo. We talk about his security background, his previous company Sookasa, and the origin story of Monte Carlo, and much more (including the <em>infamous </em>data mesh). We also get into managing and detecting operational issues, what data managers should learn before installing alarms, and what it means to think with a “failure is a feature, not a bug” mindset. Bonus: If you’ve ever wondered if it’s better to be wrong consistently or randomly by 1%, we talk about that, too.</p>
<p><strong>Resources:</strong></p>
<p>Monte Carlo’s site: <a href="https://www.montecarlodata.com/about-us/"><u>https://www.montecarlodata.com/about-us/</u></a></p>
<p>Connect with Lior on Linkedin:<a href="https://www.linkedin.com/in/lgavish/"><u>https://www.linkedin.com/in/lgavish/</u></a></p>
<p>Find Monte Carlo on Twitter: <a href="https://twitter.com/montecarlodata"><u>https://twitter.com/montecarlodata</u></a></p>
<p>Find Monte Carlo on Linkedin: <a href="https://www.linkedin.com/company/monte-carlo-data/"><u>https://www.linkedin.com/company/monte-carlo-data/</u></a></p>
<p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/"><u>https://www.joestevenssound.com/</u></a></p>
]]></content:encoded>
      <enclosure length="56962311" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/f00ae65a-526a-4b4a-a816-c235fb07d6df/audio/2a556246-ac9c-4768-a0c1-b86aef084822/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>Lessons in detecting operational issues and embracing failure as a positive w/ Monte Carlo Co-founder and CTO Lior Gavish</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/f00ae65a-526a-4b4a-a816-c235fb07d6df/3000x3000/13355259-1628186075125-6d46f32169a37.jpg?aid=rss_feed"/>
      <itunes:duration>00:59:21</itunes:duration>
      <itunes:summary>In today’s episode, I talk with Lior Gavish, the co-founder and CTO of Monte Carlo. We talk about his security background, his previous company Sookasa, and the origin story of Monte Carlo, and much more (including the infamous data mesh). We also get into managing and detecting operational issues, what data managers should learn before installing alarms, and what it means to think with a “failure is a feature, not a bug” mindset. Bonus: If you’ve ever wondered if it’s better to be wrong consistently or randomly by 1%, we talk about that, too.
Resources:
Monte Carlo’s site: https://www.montecarlodata.com/about-us/
Connect with Lior on Linkedin:https://www.linkedin.com/in/lgavish/
Find Monte Carlo on Twitter: https://twitter.com/montecarlodata
Find Monte Carlo on Linkedin: https://www.linkedin.com/company/monte-carlo-data/
Music by the talented Joe Stevens: https://www.joestevenssound.com/</itunes:summary>
      <itunes:subtitle>In today’s episode, I talk with Lior Gavish, the co-founder and CTO of Monte Carlo. We talk about his security background, his previous company Sookasa, and the origin story of Monte Carlo, and much more (including the infamous data mesh). We also get into managing and detecting operational issues, what data managers should learn before installing alarms, and what it means to think with a “failure is a feature, not a bug” mindset. Bonus: If you’ve ever wondered if it’s better to be wrong consistently or randomly by 1%, we talk about that, too.
Resources:
Monte Carlo’s site: https://www.montecarlodata.com/about-us/
Connect with Lior on Linkedin:https://www.linkedin.com/in/lgavish/
Find Monte Carlo on Twitter: https://twitter.com/montecarlodata
Find Monte Carlo on Linkedin: https://www.linkedin.com/company/monte-carlo-data/
Music by the talented Joe Stevens: https://www.joestevenssound.com/</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>14</itunes:episode>
      <itunes:season>1</itunes:season>
    </item>
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      <title>The evolution of the data industry &amp; data jobs w/ Avo CEO and Co-founder Stefania Olafsdottir</title>
      <description><![CDATA[<p>Well, Sequel Show fans, we officially have some <em>amazing </em>theme music. Huge thanks to the talented <a href="https://www.joestevenssound.com/" target="_blank">Joe Stevens</a> for our new theme song that makes all my synth-wave dreams come true. </p>
<p>In today’s episode, I talk with <a href="https://www.linkedin.com/in/stefaniabjarneyolafsdottir/?originalSubdomain=is" target="_blank"><u>Stefania Olafsdottir</u></a>, the co-founder and CEO of product analytics platform <a href="https://www.avo.app/" target="_blank"><u>Avo</u></a>. We covered an amusing amount of ground--as always in <em>The Sequel Show</em>--from the etymology of cow vs beef to the visualization of weather data. The meat of the show focuses on Stef’s early background as an associate researcher to the accuracy and specificity (or lack thereof) of data role titles today. We dive into the influences of data teams on their companies, how these teams evolve, and the facts, assumptions, and suggested actions these data champions can present. Don’t worry, we also discussed Stef’s experience as the CEO of Avo and took a look at how the company got its start (and her vision for the future of Avo). You don’t want to miss it.</p>
<p><strong>Resources:</strong></p>
<p>Avo’s site: <a href="https://www.avo.app/" target="_blank"><u>https://www.avo.app/</u></a></p>
<p>Connect with Stef on Linkedin: <a href="https://www.linkedin.com/company/avohq/" target="_blank"><u>https://www.linkedin.com/company/avohq/</u></a></p>
<p>Find Avo on Twitter: <a href="https://twitter.com/avohq" target="_blank"><u>https://twitter.com/avohq</u></a></p>
<p>Find Avo on Instagram: <a href="https://www.instagram.com/avohq/" target="_blank"><u>https://www.instagram.com/avohq/</u></a></p>
<p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/" target="_blank"><u>https://www.joestevenssound.com/</u></a></p>
]]></description>
      <pubDate>Fri, 27 Aug 2021 16:38:08 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>Well, Sequel Show fans, we officially have some <em>amazing </em>theme music. Huge thanks to the talented <a href="https://www.joestevenssound.com/" target="_blank">Joe Stevens</a> for our new theme song that makes all my synth-wave dreams come true. </p>
<p>In today’s episode, I talk with <a href="https://www.linkedin.com/in/stefaniabjarneyolafsdottir/?originalSubdomain=is" target="_blank"><u>Stefania Olafsdottir</u></a>, the co-founder and CEO of product analytics platform <a href="https://www.avo.app/" target="_blank"><u>Avo</u></a>. We covered an amusing amount of ground--as always in <em>The Sequel Show</em>--from the etymology of cow vs beef to the visualization of weather data. The meat of the show focuses on Stef’s early background as an associate researcher to the accuracy and specificity (or lack thereof) of data role titles today. We dive into the influences of data teams on their companies, how these teams evolve, and the facts, assumptions, and suggested actions these data champions can present. Don’t worry, we also discussed Stef’s experience as the CEO of Avo and took a look at how the company got its start (and her vision for the future of Avo). You don’t want to miss it.</p>
<p><strong>Resources:</strong></p>
<p>Avo’s site: <a href="https://www.avo.app/" target="_blank"><u>https://www.avo.app/</u></a></p>
<p>Connect with Stef on Linkedin: <a href="https://www.linkedin.com/company/avohq/" target="_blank"><u>https://www.linkedin.com/company/avohq/</u></a></p>
<p>Find Avo on Twitter: <a href="https://twitter.com/avohq" target="_blank"><u>https://twitter.com/avohq</u></a></p>
<p>Find Avo on Instagram: <a href="https://www.instagram.com/avohq/" target="_blank"><u>https://www.instagram.com/avohq/</u></a></p>
<p>Music by the talented Joe Stevens: <a href="https://www.joestevenssound.com/" target="_blank"><u>https://www.joestevenssound.com/</u></a></p>
]]></content:encoded>
      <enclosure length="81698389" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/7cae3729-aad4-4455-b8c6-53183ff4f421/audio/b3552aaf-10d4-4139-9d95-c6cf2f962662/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>The evolution of the data industry &amp; data jobs w/ Avo CEO and Co-founder Stefania Olafsdottir</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/7cae3729-aad4-4455-b8c6-53183ff4f421/3000x3000/13355259-1628186078283-28f4ae493b08a.jpg?aid=rss_feed"/>
      <itunes:duration>01:25:07</itunes:duration>
      <itunes:summary>Well, Sequel Show fans, we officially have some amazing theme music. Huge thanks to the talented Joe Stevens for our new theme song that makes all my synth-wave dreams come true. 
In today’s episode, I talk with Stefania Olafsdottir, the co-founder and CEO of product analytics platform Avo. We covered an amusing amount of ground--as always in The Sequel Show--from the etymology of cow vs beef to the visualization of weather data. The meat of the show focuses on Stef’s early background as an associate researcher to the accuracy and specificity (or lack thereof) of data role titles today. We dive into the influences of data teams on their companies, how these teams evolve, and the facts, assumptions, and suggested actions these data champions can present. Don’t worry, we also discussed Stef’s experience as the CEO of Avo and took a look at how the company got its start (and her vision for the future of Avo). You don’t want to miss it.
Resources:
Avo’s site: https://www.avo.app/
Connect with Stef on Linkedin: https://www.linkedin.com/company/avohq/
Find Avo on Twitter: https://twitter.com/avohq
Find Avo on Instagram: https://www.instagram.com/avohq/
Music by the talented Joe Stevens: https://www.joestevenssound.com/</itunes:summary>
      <itunes:subtitle>Well, Sequel Show fans, we officially have some amazing theme music. Huge thanks to the talented Joe Stevens for our new theme song that makes all my synth-wave dreams come true. 
In today’s episode, I talk with Stefania Olafsdottir, the co-founder and CEO of product analytics platform Avo. We covered an amusing amount of ground--as always in The Sequel Show--from the etymology of cow vs beef to the visualization of weather data. The meat of the show focuses on Stef’s early background as an associate researcher to the accuracy and specificity (or lack thereof) of data role titles today. We dive into the influences of data teams on their companies, how these teams evolve, and the facts, assumptions, and suggested actions these data champions can present. Don’t worry, we also discussed Stef’s experience as the CEO of Avo and took a look at how the company got its start (and her vision for the future of Avo). You don’t want to miss it.
Resources:
Avo’s site: https://www.avo.app/
Connect with Stef on Linkedin: https://www.linkedin.com/company/avohq/
Find Avo on Twitter: https://twitter.com/avohq
Find Avo on Instagram: https://www.instagram.com/avohq/
Music by the talented Joe Stevens: https://www.joestevenssound.com/</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>12</itunes:episode>
      <itunes:season>1</itunes:season>
    </item>
    <item>
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      <title>Adventures in analytics engineering education and community w/ Claire Carroll, co-founder of analyticsengineers.club</title>
      <description><![CDATA[<p>In our latest episode, analytics engineer and community builder extraordinaire <a href="https://twitter.com/clairebcarroll">Claire Carroll</a> sat down with us to talk about her journey from data analyst to analytics engineer to co-founder of <a href="https://analyticsengineers.club/">analyticsengineers.club</a>, an educational community for aspiring AEs. We cover a lot of ground, discussing her data-industry origin story, the fundamentals the next generation of AE should have in their toolkit, and the goals of her new training course. More broadly, Claire breaks down the gaps in the current data ecosystem and the difference between being a data consumer and a data creator. It's an episode you're not going to want to miss out on.</p>
<p>As always, let me know what you think over on Twitter at <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p>
]]></description>
      <pubDate>Wed, 28 Jul 2021 23:39:45 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In our latest episode, analytics engineer and community builder extraordinaire <a href="https://twitter.com/clairebcarroll">Claire Carroll</a> sat down with us to talk about her journey from data analyst to analytics engineer to co-founder of <a href="https://analyticsengineers.club/">analyticsengineers.club</a>, an educational community for aspiring AEs. We cover a lot of ground, discussing her data-industry origin story, the fundamentals the next generation of AE should have in their toolkit, and the goals of her new training course. More broadly, Claire breaks down the gaps in the current data ecosystem and the difference between being a data consumer and a data creator. It's an episode you're not going to want to miss out on.</p>
<p>As always, let me know what you think over on Twitter at <a href="https://twitter.com/borisjabes">@borisjabes</a>.</p>
]]></content:encoded>
      <enclosure length="74306363" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/1005afdc-81d0-4fd4-a567-54797882b3c7/audio/039c9947-0a2a-47a6-ba11-6641eb30072d/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>Adventures in analytics engineering education and community w/ Claire Carroll, co-founder of analyticsengineers.club</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/1005afdc-81d0-4fd4-a567-54797882b3c7/3000x3000/13355259-1628186078283-28f4ae493b08a.jpg?aid=rss_feed"/>
      <itunes:duration>01:17:25</itunes:duration>
      <itunes:summary>In our latest episode, analytics engineer and community builder extraordinaire Claire Carroll sat down with us to talk about her journey from data analyst to analytics engineer to co-founder of analyticsengineers.club, an educational community for aspiring AEs. We cover a lot of ground, discussing her data-industry origin story, the fundamentals the next generation of AE should have in their toolkit, and the goals of her new training course. More broadly, Claire breaks down the gaps in the current data ecosystem and the difference between being a data consumer and a data creator. It&apos;s an episode you&apos;re not going to want to miss out on.
As always, let me know what you think over on Twitter at @borisjabes.</itunes:summary>
      <itunes:subtitle>In our latest episode, analytics engineer and community builder extraordinaire Claire Carroll sat down with us to talk about her journey from data analyst to analytics engineer to co-founder of analyticsengineers.club, an educational community for aspiring AEs. We cover a lot of ground, discussing her data-industry origin story, the fundamentals the next generation of AE should have in their toolkit, and the goals of her new training course. More broadly, Claire breaks down the gaps in the current data ecosystem and the difference between being a data consumer and a data creator. It&apos;s an episode you&apos;re not going to want to miss out on.
As always, let me know what you think over on Twitter at @borisjabes.</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>11</itunes:episode>
      <itunes:season>1</itunes:season>
    </item>
    <item>
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      <title>History of Snowplow Analytics, data collection mind sets, and what the warehouse as a single entity means for data w/ Alex Dean, CEO and co-founder of Snowplow</title>
      <description><![CDATA[<p>In this live episode with Snowplow CEO and Co-founder Alex Dean, we dive into all things Snowplow and data collection. Alex runs us through the history of Snowplow--how the company was born and how it evolved--as well as what parts of the platform have grown in complexity. We break down what it means to think about events in a mind-frame of abundance vs scarcity, how to adapt to ever-changing regulations around privacy, and data architecture and infrastructure best practices. Alex rounds the discussion out with some advice on how to approach anonymous users over the next five years, and what a world where the warehouse is a single entity means for post-collection data structures. </p>
<p>Let me know what you think over on Twitter at @borisjabes. </p>
]]></description>
      <pubDate>Fri, 2 Jul 2021 22:56:40 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In this live episode with Snowplow CEO and Co-founder Alex Dean, we dive into all things Snowplow and data collection. Alex runs us through the history of Snowplow--how the company was born and how it evolved--as well as what parts of the platform have grown in complexity. We break down what it means to think about events in a mind-frame of abundance vs scarcity, how to adapt to ever-changing regulations around privacy, and data architecture and infrastructure best practices. Alex rounds the discussion out with some advice on how to approach anonymous users over the next five years, and what a world where the warehouse is a single entity means for post-collection data structures. </p>
<p>Let me know what you think over on Twitter at @borisjabes. </p>
]]></content:encoded>
      <enclosure length="44162311" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/fd409005-e4e1-40fe-9b05-da65fb7260c4/audio/be356786-4ca0-4373-8dc7-1fee2b8a3fab/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>History of Snowplow Analytics, data collection mind sets, and what the warehouse as a single entity means for data w/ Alex Dean, CEO and co-founder of Snowplow</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/fd409005-e4e1-40fe-9b05-da65fb7260c4/3000x3000/13355259-1628186078283-28f4ae493b08a.jpg?aid=rss_feed"/>
      <itunes:duration>00:46:01</itunes:duration>
      <itunes:summary>In this live episode with Snowplow CEO and Co-founder Alex Dean, we dive into all things Snowplow and data collection. Alex runs us through the history of Snowplow--how the company was born and how it evolved--as well as what parts of the platform have grown in complexity. We break down what it means to think about events in a mind-frame of abundance vs scarcity, how to adapt to ever-changing regulations around privacy, and data architecture and infrastructure best practices. Alex rounds the discussion out with some advice on how to approach anonymous users over the next five years, and what a world where the warehouse is a single entity means for post-collection data structures. 
Let me know what you think over on Twitter at @borisjabes. </itunes:summary>
      <itunes:subtitle>In this live episode with Snowplow CEO and Co-founder Alex Dean, we dive into all things Snowplow and data collection. Alex runs us through the history of Snowplow--how the company was born and how it evolved--as well as what parts of the platform have grown in complexity. We break down what it means to think about events in a mind-frame of abundance vs scarcity, how to adapt to ever-changing regulations around privacy, and data architecture and infrastructure best practices. Alex rounds the discussion out with some advice on how to approach anonymous users over the next five years, and what a world where the warehouse is a single entity means for post-collection data structures. 
Let me know what you think over on Twitter at @borisjabes. </itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>10</itunes:episode>
      <itunes:season>1</itunes:season>
    </item>
    <item>
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      <title>Data Orchestration and Config as Code with Nick Shrock, Creator of Dagster</title>
      <description><![CDATA[<p>In this live recording, I'm joined by <a href="https://www.linkedin.com/in/schrockn/">Nick Schrock</a>, the creator of <a href="https://dagster.io/">Dagster</a>.</p>
]]></description>
      <pubDate>Fri, 4 Jun 2021 20:12:01 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In this live recording, I'm joined by <a href="https://www.linkedin.com/in/schrockn/">Nick Schrock</a>, the creator of <a href="https://dagster.io/">Dagster</a>.</p>
]]></content:encoded>
      <enclosure length="56364766" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/d48e7286-ae54-4a1c-96bf-c353616862d6/audio/4e4c0d1c-7d0a-4a5b-98c5-76369ecd0291/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>Data Orchestration and Config as Code with Nick Shrock, Creator of Dagster</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/d48e7286-ae54-4a1c-96bf-c353616862d6/3000x3000/13355259-1628186078283-28f4ae493b08a.jpg?aid=rss_feed"/>
      <itunes:duration>00:58:43</itunes:duration>
      <itunes:summary>In this live recording, I&apos;m joined by Nick Schrock, the creator of Dagster.</itunes:summary>
      <itunes:subtitle>In this live recording, I&apos;m joined by Nick Schrock, the creator of Dagster.</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>3</itunes:episode>
      <itunes:season>1</itunes:season>
    </item>
    <item>
      <guid isPermaLink="false">3dc64933-af91-4f82-ad48-b6cf71125577</guid>
      <title>Data Maturity: When to Switch Processes and Tool Stacks - Operational Analytics Conference 2021</title>
      <description><![CDATA[<p>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the first session talking about the next General of Data Tool with this panel</p>
<ul>
 <li>Boris Jabes - Founder & CEO at Census</li>
 <li><a href="https://www.linkedin.com/in/bogaertchristophe/">Christophe Bogaert</a> - head of data platform at Tasman Analytics</li>
  <li><a href="https://www.linkedin.com/in/scottbreitenother/">Scott Breitenother</a> - Founder of Brooklyn Data Co. (and the first data hire at Casper)</li>
  <li><a href="https://www.linkedin.com/in/hawkinsemily/">Emily Hawkins</a> - data infrastructure lead at Drizly</li>
  <li><a href="https://www.linkedin.com/in/zeeshanq/?originalSubdomain=ca">Zeeshan Qureshi</a>-  tech lead & engineering manager at Shopify</li>
</ul>
<p>Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-maturity-when-to-switch-processes-and-tool-stacks/</p>
]]></description>
      <pubDate>Tue, 20 Apr 2021 01:40:55 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the first session talking about the next General of Data Tool with this panel</p>
<ul>
 <li>Boris Jabes - Founder & CEO at Census</li>
 <li><a href="https://www.linkedin.com/in/bogaertchristophe/">Christophe Bogaert</a> - head of data platform at Tasman Analytics</li>
  <li><a href="https://www.linkedin.com/in/scottbreitenother/">Scott Breitenother</a> - Founder of Brooklyn Data Co. (and the first data hire at Casper)</li>
  <li><a href="https://www.linkedin.com/in/hawkinsemily/">Emily Hawkins</a> - data infrastructure lead at Drizly</li>
  <li><a href="https://www.linkedin.com/in/zeeshanq/?originalSubdomain=ca">Zeeshan Qureshi</a>-  tech lead & engineering manager at Shopify</li>
</ul>
<p>Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-maturity-when-to-switch-processes-and-tool-stacks/</p>
]]></content:encoded>
      <enclosure length="65213380" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/138429f3-6a49-4387-b497-0cb1dbccc52d/audio/36304da8-955f-45e1-a73f-a6d9ad098031/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>Data Maturity: When to Switch Processes and Tool Stacks - Operational Analytics Conference 2021</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/138429f3-6a49-4387-b497-0cb1dbccc52d/3000x3000/13355259-1618882864073-b7561e2bba824.jpg?aid=rss_feed"/>
      <itunes:duration>01:07:56</itunes:duration>
      <itunes:summary>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the first session talking about the next General of Data Tool with this panel

 Boris Jabes - Founder &amp; CEO at Census
 Christophe Bogaert - head of data platform at Tasman Analytics
  Scott Breitenother - Founder of Brooklyn Data Co. (and the first data hire at Casper)
  Emily Hawkins - data infrastructure lead at Drizly
  Zeeshan Qureshi-  tech lead &amp; engineering manager at Shopify

Don&apos;t have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-maturity-when-to-switch-processes-and-tool-stacks/</itunes:summary>
      <itunes:subtitle>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the first session talking about the next General of Data Tool with this panel

 Boris Jabes - Founder &amp; CEO at Census
 Christophe Bogaert - head of data platform at Tasman Analytics
  Scott Breitenother - Founder of Brooklyn Data Co. (and the first data hire at Casper)
  Emily Hawkins - data infrastructure lead at Drizly
  Zeeshan Qureshi-  tech lead &amp; engineering manager at Shopify

Don&apos;t have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-maturity-when-to-switch-processes-and-tool-stacks/</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>bonus</itunes:episodeType>
      <itunes:season>1</itunes:season>
    </item>
    <item>
      <guid isPermaLink="false">5146dc22-1e47-4995-83a2-bdd9667532cd</guid>
      <title>Data Product Management - Operational Analytics Conference 2021</title>
      <description><![CDATA[<p>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the fith session talking about the next data in product management with the following panel:</p>
<ul>
 <li>Boris Jabes - Founder & CEO at Census</li>
 <li><a href="https://www.linkedin.com/in/jeffreytfeng/">Jeff Feng</a> - a PM at Google</li>
  <li><a href="https://www.linkedin.com/in/adam-kinney-9a14309/">Adam Kinney</a> - principal PM at Mixpanel</li>
  <li><a href="https://www.linkedin.com/in/james-mayfield-15b71354/">James Mayfield</a> - co-founder of Transform</li>
  <li><a href="https://www.linkedin.com/in/lauren-reeder/">Lauren Reeder</a> - product lead at Segment</li>
</ul>
<p>Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-product-management/</p>
]]></description>
      <pubDate>Tue, 20 Apr 2021 01:37:27 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the fith session talking about the next data in product management with the following panel:</p>
<ul>
 <li>Boris Jabes - Founder & CEO at Census</li>
 <li><a href="https://www.linkedin.com/in/jeffreytfeng/">Jeff Feng</a> - a PM at Google</li>
  <li><a href="https://www.linkedin.com/in/adam-kinney-9a14309/">Adam Kinney</a> - principal PM at Mixpanel</li>
  <li><a href="https://www.linkedin.com/in/james-mayfield-15b71354/">James Mayfield</a> - co-founder of Transform</li>
  <li><a href="https://www.linkedin.com/in/lauren-reeder/">Lauren Reeder</a> - product lead at Segment</li>
</ul>
<p>Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-product-management/</p>
]]></content:encoded>
      <enclosure length="63982908" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/76ca9c65-6378-42da-9c1c-eb0c0da8bf74/audio/0280730a-11fc-43f0-8431-d939a9563c2b/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>Data Product Management - Operational Analytics Conference 2021</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/76ca9c65-6378-42da-9c1c-eb0c0da8bf74/3000x3000/13355259-1618882655649-430aed569a009.jpg?aid=rss_feed"/>
      <itunes:duration>01:06:39</itunes:duration>
      <itunes:summary>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the fith session talking about the next data in product management with the following panel:

 Boris Jabes - Founder &amp; CEO at Census
 Jeff Feng - a PM at Google
  Adam Kinney - principal PM at Mixpanel
  James Mayfield - co-founder of Transform
  Lauren Reeder - product lead at Segment

Don&apos;t have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-product-management/</itunes:summary>
      <itunes:subtitle>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the fith session talking about the next data in product management with the following panel:

 Boris Jabes - Founder &amp; CEO at Census
 Jeff Feng - a PM at Google
  Adam Kinney - principal PM at Mixpanel
  James Mayfield - co-founder of Transform
  Lauren Reeder - product lead at Segment

Don&apos;t have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-product-management/</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>bonus</itunes:episodeType>
      <itunes:season>1</itunes:season>
    </item>
    <item>
      <guid isPermaLink="false">e77a9eef-07de-49cc-a51e-01aaf0b82628</guid>
      <title>Data Careers: Building and Leading Modern Data Teams - Operational Analytics Conference 2021</title>
      <description><![CDATA[<p>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the fourth session talking about the Building and Leading Modern Data Teams next General with the following panel</p>
<ul>
 <li><a href="https://www.linkedin.com/in/rbradleyhaas/">Rachel Bradley-Haas</a>-  Co-founder of Big Time Data</li>
 <li><a href="https://www.linkedin.com/in/joeyfreund/">Joey Freund</a> -  Data Development Manager at Shopify</li>
  <li><a href="https://www.linkedin.com/in/garegin-ordyan-57509938/">Garegin Ordyan</a>-  Director of Analytics at Fivetran</li>
  <li><a href="https://www.linkedin.com/in/emilieschario/">Emilie Schario</a> - Senior Engineering Manager at Netlify</li>
</ul>
<p>Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-careers-building-and-leading-modern-data-teams/</p>
]]></description>
      <pubDate>Tue, 20 Apr 2021 01:33:30 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the fourth session talking about the Building and Leading Modern Data Teams next General with the following panel</p>
<ul>
 <li><a href="https://www.linkedin.com/in/rbradleyhaas/">Rachel Bradley-Haas</a>-  Co-founder of Big Time Data</li>
 <li><a href="https://www.linkedin.com/in/joeyfreund/">Joey Freund</a> -  Data Development Manager at Shopify</li>
  <li><a href="https://www.linkedin.com/in/garegin-ordyan-57509938/">Garegin Ordyan</a>-  Director of Analytics at Fivetran</li>
  <li><a href="https://www.linkedin.com/in/emilieschario/">Emilie Schario</a> - Senior Engineering Manager at Netlify</li>
</ul>
<p>Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-careers-building-and-leading-modern-data-teams/</p>
]]></content:encoded>
      <enclosure length="60049911" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/ba785720-1df2-4888-b483-d3948c515a1b/audio/31d507be-18c4-47d7-ae12-a159c8d191d0/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>Data Careers: Building and Leading Modern Data Teams - Operational Analytics Conference 2021</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/ba785720-1df2-4888-b483-d3948c515a1b/3000x3000/13355259-1618882418503-d3fef49b6d05f.jpg?aid=rss_feed"/>
      <itunes:duration>01:02:34</itunes:duration>
      <itunes:summary>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the fourth session talking about the Building and Leading Modern Data Teams next General with the following panel

 Rachel Bradley-Haas-  Co-founder of Big Time Data
 Joey Freund -  Data Development Manager at Shopify
  Garegin Ordyan-  Director of Analytics at Fivetran
  Emilie Schario - Senior Engineering Manager at Netlify

Don&apos;t have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-careers-building-and-leading-modern-data-teams/</itunes:summary>
      <itunes:subtitle>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the fourth session talking about the Building and Leading Modern Data Teams next General with the following panel

 Rachel Bradley-Haas-  Co-founder of Big Time Data
 Joey Freund -  Data Development Manager at Shopify
  Garegin Ordyan-  Director of Analytics at Fivetran
  Emilie Schario - Senior Engineering Manager at Netlify

Don&apos;t have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-careers-building-and-leading-modern-data-teams/</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>bonus</itunes:episodeType>
      <itunes:season>1</itunes:season>
    </item>
    <item>
      <guid isPermaLink="false">54d53867-a4d9-44b9-a198-5f1380691704</guid>
      <title>Data Disasters: The Untold Stories - Operational Analytics Conference 2021</title>
      <description><![CDATA[<p>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the third session talking about the worse data mistakes with the following panel</p>
<ul>
 <li><a href="https://www.linkedin.com/in/jbeynon/">Julie Beynon</a> - Head of Analytics at Clearbit</li>
 <li><a href="https://www.linkedin.com/in/jeffreymsloan/">Jeff Sloan</a>  - Data Product Manager for Treatwell</li>
  <li><a href="https://www.linkedin.com/in/olyatanner/">Olya Tanner</a>, Customer Data Architect here at Census</li>
  <li><a href="https://www.linkedin.com/in/brookstaylorjr/">Brooks Taylor</a> - Lead Data Scientist at Segment</li>
  <li><a href="https://www.linkedin.com/in/xiaoeric/">Eric Xiao</a> - Senior Data Platform Engineer at Shopify</li>
</ul>
<p>Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-disasters-the-untold-stories/</p>
<p><br /></p>
]]></description>
      <pubDate>Tue, 20 Apr 2021 01:29:01 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the third session talking about the worse data mistakes with the following panel</p>
<ul>
 <li><a href="https://www.linkedin.com/in/jbeynon/">Julie Beynon</a> - Head of Analytics at Clearbit</li>
 <li><a href="https://www.linkedin.com/in/jeffreymsloan/">Jeff Sloan</a>  - Data Product Manager for Treatwell</li>
  <li><a href="https://www.linkedin.com/in/olyatanner/">Olya Tanner</a>, Customer Data Architect here at Census</li>
  <li><a href="https://www.linkedin.com/in/brookstaylorjr/">Brooks Taylor</a> - Lead Data Scientist at Segment</li>
  <li><a href="https://www.linkedin.com/in/xiaoeric/">Eric Xiao</a> - Senior Data Platform Engineer at Shopify</li>
</ul>
<p>Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-disasters-the-untold-stories/</p>
<p><br /></p>
]]></content:encoded>
      <enclosure length="39442435" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/fd6d876d-6496-467c-80b9-c9b8ad1b7de8/audio/b9ef54db-b3cd-46e2-906c-928068e14e49/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>Data Disasters: The Untold Stories - Operational Analytics Conference 2021</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/fd6d876d-6496-467c-80b9-c9b8ad1b7de8/3000x3000/13355259-1618882149783-047663d7428d8.jpg?aid=rss_feed"/>
      <itunes:duration>00:41:05</itunes:duration>
      <itunes:summary>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the third session talking about the worse data mistakes with the following panel

 Julie Beynon - Head of Analytics at Clearbit
 Jeff Sloan  - Data Product Manager for Treatwell
  Olya Tanner, Customer Data Architect here at Census
  Brooks Taylor - Lead Data Scientist at Segment
  Eric Xiao - Senior Data Platform Engineer at Shopify

Don&apos;t have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-disasters-the-untold-stories/
</itunes:summary>
      <itunes:subtitle>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the third session talking about the worse data mistakes with the following panel

 Julie Beynon - Head of Analytics at Clearbit
 Jeff Sloan  - Data Product Manager for Treatwell
  Olya Tanner, Customer Data Architect here at Census
  Brooks Taylor - Lead Data Scientist at Segment
  Eric Xiao - Senior Data Platform Engineer at Shopify

Don&apos;t have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/data-disasters-the-untold-stories/
</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>bonus</itunes:episodeType>
      <itunes:season>1</itunes:season>
    </item>
    <item>
      <guid isPermaLink="false">a6966699-e937-4fef-b15d-0a5f7ca065d6</guid>
      <title>How Do You Build a Data-Driven Culture? - Operational Analytics Conference 2021</title>
      <description><![CDATA[<p>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the second session talking about the Data-Driven Culture. Our panel is </p>
<ul>
 <li><a href="https://www.linkedin.com/in/michelle-ballen-griffin-8974b819/">Michelle Ballen-Griffin</a> - Head of Data and Analytics at Billie</li>
 <li><a href="https://www.linkedin.com/in/jeffbethechange/">Jeff Ignacio</a> - Head of Growth and Revenue Operations at Upkeep</li>
  <li><a href="https://www.linkedin.com/in/seanplynch/">Sean Lynch</a> - a co-founder here at Census</li>
  <li><a href="https://www.linkedin.com/in/praveer-melwani/">Praveer Melwani</a> - Head of Business Operations and Finance at ‎Figma</li>
  <li><a href="https://www.linkedin.com/in/maxmullen/">Max Mullen</a>, a co-founder at Instacart</li>
  <li><a href="https://www.linkedin.com/in/michaelstoppelman/">Michael Stoppelman</a>, who led Engineering for Yelp for 12 years. (I said it was star studded!)</li>
</ul>
<p>Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/how-do-you-build-a-data-driven-culture/</p>
]]></description>
      <pubDate>Tue, 20 Apr 2021 01:22:39 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the second session talking about the Data-Driven Culture. Our panel is </p>
<ul>
 <li><a href="https://www.linkedin.com/in/michelle-ballen-griffin-8974b819/">Michelle Ballen-Griffin</a> - Head of Data and Analytics at Billie</li>
 <li><a href="https://www.linkedin.com/in/jeffbethechange/">Jeff Ignacio</a> - Head of Growth and Revenue Operations at Upkeep</li>
  <li><a href="https://www.linkedin.com/in/seanplynch/">Sean Lynch</a> - a co-founder here at Census</li>
  <li><a href="https://www.linkedin.com/in/praveer-melwani/">Praveer Melwani</a> - Head of Business Operations and Finance at ‎Figma</li>
  <li><a href="https://www.linkedin.com/in/maxmullen/">Max Mullen</a>, a co-founder at Instacart</li>
  <li><a href="https://www.linkedin.com/in/michaelstoppelman/">Michael Stoppelman</a>, who led Engineering for Yelp for 12 years. (I said it was star studded!)</li>
</ul>
<p>Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/how-do-you-build-a-data-driven-culture/</p>
]]></content:encoded>
      <enclosure length="69700172" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/e4f42b08-5896-4578-bd77-dfd761c3d83e/audio/514a646e-3e8c-455e-a297-501e11ba46bd/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>How Do You Build a Data-Driven Culture? - Operational Analytics Conference 2021</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/e4f42b08-5896-4578-bd77-dfd761c3d83e/3000x3000/13355259-1618881767871-e10945b2fcca7.jpg?aid=rss_feed"/>
      <itunes:duration>01:12:36</itunes:duration>
      <itunes:summary>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the second session talking about the Data-Driven Culture. Our panel is 

 Michelle Ballen-Griffin - Head of Data and Analytics at Billie
 Jeff Ignacio - Head of Growth and Revenue Operations at Upkeep
  Sean Lynch - a co-founder here at Census
  Praveer Melwani - Head of Business Operations and Finance at ‎Figma
  Max Mullen, a co-founder at Instacart
  Michael Stoppelman, who led Engineering for Yelp for 12 years. (I said it was star studded!)

Don&apos;t have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/how-do-you-build-a-data-driven-culture/</itunes:summary>
      <itunes:subtitle>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the second session talking about the Data-Driven Culture. Our panel is 

 Michelle Ballen-Griffin - Head of Data and Analytics at Billie
 Jeff Ignacio - Head of Growth and Revenue Operations at Upkeep
  Sean Lynch - a co-founder here at Census
  Praveer Melwani - Head of Business Operations and Finance at ‎Figma
  Max Mullen, a co-founder at Instacart
  Michael Stoppelman, who led Engineering for Yelp for 12 years. (I said it was star studded!)

Don&apos;t have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/how-do-you-build-a-data-driven-culture/</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>bonus</itunes:episodeType>
      <itunes:season>1</itunes:season>
    </item>
    <item>
      <guid isPermaLink="false">b8bc4a83-b210-4d54-b2c1-bc3587c33de4</guid>
      <title>The Next Generation of Data Tool - Operational Analytics Conference 2021</title>
      <description><![CDATA[<p>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the first session talking about the next General of Data Tool with this panel</p>
<ul>
 <li>Boris Jabes, - Founder and CEO of Census</li>
 <li><a href="https://a16z.com/author/martin-casado/">Martin Casado</a>-  General Partner at a16z</li>
 <li><a href="https://www.linkedin.com/in/george-fraser-a0219230">George Fraser</a> - CEO of Fivetran</li>
 <li><a href="https://www.linkedin.com/in/jlowin">Jeremiah Lowin</a> - Founder & CEO of Prefect</li>
  <li><a href="https://barrmoses.medium.com/">Barr Moses</a> - Co-Founder and CEO of Monte Carlo</li>
</ul>
<p>Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/cambrian-explosion-or-consolidation-where-is-data-right-now/</p>
]]></description>
      <pubDate>Tue, 20 Apr 2021 01:11:29 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the first session talking about the next General of Data Tool with this panel</p>
<ul>
 <li>Boris Jabes, - Founder and CEO of Census</li>
 <li><a href="https://a16z.com/author/martin-casado/">Martin Casado</a>-  General Partner at a16z</li>
 <li><a href="https://www.linkedin.com/in/george-fraser-a0219230">George Fraser</a> - CEO of Fivetran</li>
 <li><a href="https://www.linkedin.com/in/jlowin">Jeremiah Lowin</a> - Founder & CEO of Prefect</li>
  <li><a href="https://barrmoses.medium.com/">Barr Moses</a> - Co-Founder and CEO of Monte Carlo</li>
</ul>
<p>Don't have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/cambrian-explosion-or-consolidation-where-is-data-right-now/</p>
]]></content:encoded>
      <enclosure length="63220133" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/cfc38b6a-eb72-490c-a76b-60f3430d5173/audio/47312bc5-cbb5-4a03-b32a-0a4a0cc66f04/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>The Next Generation of Data Tool - Operational Analytics Conference 2021</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/cfc38b6a-eb72-490c-a76b-60f3430d5173/3000x3000/13355259-1618881097672-7ce17f5c77ab1.jpg?aid=rss_feed"/>
      <itunes:duration>01:05:51</itunes:duration>
      <itunes:summary>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the first session talking about the next General of Data Tool with this panel

 Boris Jabes, - Founder and CEO of Census
 Martin Casado-  General Partner at a16z
 George Fraser - CEO of Fivetran
 Jeremiah Lowin - Founder &amp; CEO of Prefect
  Barr Moses - Co-Founder and CEO of Monte Carlo

Don&apos;t have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/cambrian-explosion-or-consolidation-where-is-data-right-now/</itunes:summary>
      <itunes:subtitle>In April 2021, we hosted our first Operational Analytics Conference on Clubhouse. This is the full recording of the first session talking about the next General of Data Tool with this panel

 Boris Jabes, - Founder and CEO of Census
 Martin Casado-  General Partner at a16z
 George Fraser - CEO of Fivetran
 Jeremiah Lowin - Founder &amp; CEO of Prefect
  Barr Moses - Co-Founder and CEO of Monte Carlo

Don&apos;t have time to listen to the whole session? you can get the best sound bit on https://blog.getcensus.com/cambrian-explosion-or-consolidation-where-is-data-right-now/</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>bonus</itunes:episodeType>
      <itunes:season>1</itunes:season>
    </item>
    <item>
      <guid isPermaLink="false">492ae28a-4ae9-4a40-9124-a2791819d0e3</guid>
      <title>Special Episode Data After Dark 01</title>
      <description><![CDATA[<p>In this episode, we talk with <a href="https://twitter.com/teej_m">TJ</a>; He's the head of data at the largest streaming service “you’ve never heard of.” </p>
]]></description>
      <pubDate>Thu, 25 Mar 2021 23:47:49 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In this episode, we talk with <a href="https://twitter.com/teej_m">TJ</a>; He's the head of data at the largest streaming service “you’ve never heard of.” </p>
]]></content:encoded>
      <enclosure length="46625898" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/0fa4666d-3bfd-4a7a-9785-b42500267b99/audio/c7a2c187-20bd-49e3-9267-d8b73fde145c/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>Special Episode Data After Dark 01</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/0fa4666d-3bfd-4a7a-9785-b42500267b99/3000x3000/13355259-1628186078283-28f4ae493b08a.jpg?aid=rss_feed"/>
      <itunes:duration>00:48:35</itunes:duration>
      <itunes:summary>In this episode, we talk with TJ; He&apos;s the head of data at the largest streaming service “you’ve never heard of.” </itunes:summary>
      <itunes:subtitle>In this episode, we talk with TJ; He&apos;s the head of data at the largest streaming service “you’ve never heard of.” </itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>bonus</itunes:episodeType>
      <itunes:season>1</itunes:season>
    </item>
    <item>
      <guid isPermaLink="false">b7978425-e84f-4bb8-9906-9c220f5e8f9f</guid>
      <title>Data Engineer or Analytics Engineer. Does it even matter?</title>
      <description><![CDATA[<p>In this live recording, I'm joined by </p>
<p>Olya Kudriavtseva - Head of Data @ Wave.tv</p>
<p>Taylor Murphy - Data Lead @ Gitlab/Metlano</p>
<p>Seth Rosen -  Co-founder @ Hashpath</p>
<p>James Densmore - Dir of Data Infrastructure @ Hubspot</p>
<p>We ended up talking about the difference between the various data-related engineering jobs.</p>
]]></description>
      <pubDate>Fri, 12 Mar 2021 03:31:40 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In this live recording, I'm joined by </p>
<p>Olya Kudriavtseva - Head of Data @ Wave.tv</p>
<p>Taylor Murphy - Data Lead @ Gitlab/Metlano</p>
<p>Seth Rosen -  Co-founder @ Hashpath</p>
<p>James Densmore - Dir of Data Infrastructure @ Hubspot</p>
<p>We ended up talking about the difference between the various data-related engineering jobs.</p>
]]></content:encoded>
      <enclosure length="52750255" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/1cc2c09d-8af5-4594-b832-806ef58dc866/audio/2327437e-ccf6-4979-a108-212012f2a207/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>Data Engineer or Analytics Engineer. Does it even matter?</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/1cc2c09d-8af5-4594-b832-806ef58dc866/3000x3000/13355259-1628186078283-28f4ae493b08a.jpg?aid=rss_feed"/>
      <itunes:duration>00:54:57</itunes:duration>
      <itunes:summary>In this live recording, I&apos;m joined by 
Olya Kudriavtseva - Head of Data @ Wave.tv
Taylor Murphy - Data Lead @ Gitlab/Metlano
Seth Rosen -  Co-founder @ Hashpath
James Densmore - Dir of Data Infrastructure @ Hubspot
We ended up talking about the difference between the various data-related engineering jobs.</itunes:summary>
      <itunes:subtitle>In this live recording, I&apos;m joined by 
Olya Kudriavtseva - Head of Data @ Wave.tv
Taylor Murphy - Data Lead @ Gitlab/Metlano
Seth Rosen -  Co-founder @ Hashpath
James Densmore - Dir of Data Infrastructure @ Hubspot
We ended up talking about the difference between the various data-related engineering jobs.</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>2</itunes:episode>
      <itunes:season>1</itunes:season>
    </item>
    <item>
      <guid isPermaLink="false">5dea6838-ef53-4d4d-b120-32e2244193db</guid>
      <title>The show that kicked off the podcast. With Fivetran, dbt &amp; Materialize</title>
      <description><![CDATA[<p>In this initial episode our guests were:</p>
<ul>
 <li><a href="https://twitter.com/frasergeorgew">George @ Fivetran</a></li>
 <li><a href="https://twitter.com/jthandy">Tristan @ dbt</a></li>
 <li><a href="https://twitter.com/narayanarjun">Arjun @ Materialize</a></li>
</ul>
<p>We discussed why we built our companies, the past, present and future of data warehouses, what data teams will look like in the future and how all of this will affect what we do every day.</p>
]]></description>
      <pubDate>Sun, 7 Mar 2021 03:42:32 +0000</pubDate>
      <author>allie@getcensus.com (Census)</author>
      <link>https://getcensus.com</link>
      <content:encoded><![CDATA[<p>In this initial episode our guests were:</p>
<ul>
 <li><a href="https://twitter.com/frasergeorgew">George @ Fivetran</a></li>
 <li><a href="https://twitter.com/jthandy">Tristan @ dbt</a></li>
 <li><a href="https://twitter.com/narayanarjun">Arjun @ Materialize</a></li>
</ul>
<p>We discussed why we built our companies, the past, present and future of data warehouses, what data teams will look like in the future and how all of this will affect what we do every day.</p>
]]></content:encoded>
      <enclosure length="78727672" type="audio/mpeg" url="https://cdn.simplecast.com/audio/a1c066ee-7b64-4234-8644-d538b4274109/episodes/9d723c58-5d5c-4401-b352-96b8715fe8d7/audio/acd1b7f8-327b-48f7-a004-70f94b67d460/default_tc.mp3?aid=rss_feed&amp;feed=gC0E9b7M"/>
      <itunes:title>The show that kicked off the podcast. With Fivetran, dbt &amp; Materialize</itunes:title>
      <itunes:author>Census</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/a1c066/a1c066ee-7b64-4234-8644-d538b4274109/9d723c58-5d5c-4401-b352-96b8715fe8d7/3000x3000/13355259-1615088560696-aaed623d1f76e.jpg?aid=rss_feed"/>
      <itunes:duration>01:22:00</itunes:duration>
      <itunes:summary>In this initial episode our guests were:

 George @ Fivetran
 Tristan @ dbt
 Arjun @ Materialize

We discussed why we built our companies, the past, present and future of data warehouses, what data teams will look like in the future and how all of this will affect what we do every day.</itunes:summary>
      <itunes:subtitle>In this initial episode our guests were:

 George @ Fivetran
 Tristan @ dbt
 Arjun @ Materialize

We discussed why we built our companies, the past, present and future of data warehouses, what data teams will look like in the future and how all of this will affect what we do every day.</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
      <itunes:episodeType>full</itunes:episodeType>
      <itunes:episode>1</itunes:episode>
      <itunes:season>1</itunes:season>
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