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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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Data Contracts, Data Products, Data Mesh with Jean-Georges Perrin
Catalog & Cocktails: The Honest, No-BS Data Podcast
1 hour 31 minutes 46 seconds
7 months ago
Data Contracts, Data Products, Data Mesh with Jean-Georges Perrin
Tim and Juan meet in person with Jean-Georges Perrin for a longer-than-usual episode. Together, they unpack the real meaning behind data contracts, explaining how these agreements serve as the backbone for successful data products and the practical framework for data mesh implementation. If you want to cut through all the jargon and buzzwords and get to an Honest, No-BS discussion, this is the episode for you!
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>