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Catalog & Cocktails: The Honest, No-BS Data Podcast
data.world
317 episodes
5 months ago
<p>Catalog and Cocktails is an honest, no-BS, non-sales-y conversation about data and analytics. This is your unfiltered chat about everything interesting in data and metadata management, DataOps, architecture, and beyond. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders across the data space. </p>
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Technology
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All content for Catalog & Cocktails: The Honest, No-BS Data Podcast is the property of data.world and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
<p>Catalog and Cocktails is an honest, no-BS, non-sales-y conversation about data and analytics. This is your unfiltered chat about everything interesting in data and metadata management, DataOps, architecture, and beyond. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders across the data space. </p>
Show more...
Technology
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Season 9 Finale with Tim Gasper and Juan Sequeda
Catalog & Cocktails: The Honest, No-BS Data Podcast
52 minutes 50 seconds
5 months ago
Season 9 Finale with Tim Gasper and Juan Sequeda
As Season 9 of Catalog & Cocktails comes to a close, Tim and Juan reflect on the conversations, breakthroughs, and trends that shaped the past episodes. From rethinking data governance to building trust in your data, this recap dives into the standout moments, key lessons, and recurring themes from our incredible guests. Tune in for an honest, no-BS discussion on what we’ve learned this season—and a sneak peek at what’s coming next!
Catalog & Cocktails: The Honest, No-BS Data Podcast
<p>Catalog and Cocktails is an honest, no-BS, non-sales-y conversation about data and analytics. This is your unfiltered chat about everything interesting in data and metadata management, DataOps, architecture, and beyond. Join Juan Sequeda and Tim Gasper to explore emerging topics and hear from visionary leaders across the data space. </p>