Catalog & Cocktails: The Honest, No-BS Data Podcast

A podcast by data.world - Thursdays

Thursdays

Categories:

306 Episodes

  1. S3E6 Takeaways with Luke Slotwinski

    Published: 2/10/2022
  2. Can Agile Practices Disrupt Data Governance? w/ Laura Madsen from Moxy Analytics

    Published: 2/3/2022
  3. S3E5 Takeways with Laura Madsen

    Published: 2/3/2022
  4. Can the Data Mesh be Governed? w/ Dora Boussias

    Published: 1/27/2022
  5. S3E4 Takeaways with Dora Boussias

    Published: 1/27/2022
  6. What good is a Metrics Layer? w/ Benn Stancil from Mode

    Published: 1/20/2022
  7. S3E3 Takeaways with Benn Stancil

    Published: 1/20/2022
  8. Modern Data Work at Drizly w/ Emily Hawkins

    Published: 1/13/2022
  9. S3E2 Takeaways with Emily Hawkins

    Published: 1/13/2022
  10. Will 2022 change how we think about data? w/ Sarah Catanzaro

    Published: 1/6/2022
  11. Season Three Premier Takeaways with Sarah Catanzaro

    Published: 1/6/2022
  12. Season Two Finale!!!

    Published: 12/23/2021
  13. Please be quiet. The machines are talking. w/ Steve Whitla

    Published: 12/16/2021
  14. What happens when everyone is a data worker? w/ Kelly Wright from Gong

    Published: 12/9/2021
  15. Modern Data Stack: Technology, Methodology, or both? w/ Nick Schrock

    Published: 12/2/2021
  16. Long live the monolith? w/ Andy Palmer from Tamr

    Published: 11/18/2021
  17. Is self-service BI the answer? w/ Cindi Howson

    Published: 11/11/2021
  18. Data tools: the good, the bad, and the ugly w/ Erik Bernhardsson

    Published: 11/4/2021
  19. Data is the new... Herman Miller Aeron Chair? w/ Doug Laney

    Published: 10/28/2021
  20. The Data Mesh Debate w/ hosts Juan and Tim

    Published: 10/21/2021

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<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>