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

A podcast by data.world - Thursdays

Thursdays

Categories:

306 Episodes

  1. What is the DNA of a data organization? w/ Alex Vayner from KPMG US

    Published: 4/27/2023
  2. Takeaways with Alex Vayner from KPMG US

    Published: 4/27/2023
  3. KG + LLM = Happily Ever After? w/ Tony Seale, Knowledge Graph Engineer

    Published: 4/20/2023
  4. Do’s and Don’t for the Next Gen Data Leaders w/ Veronika Durgin, VP of Data at Saks 5th Avenue

    Published: 4/13/2023
  5. Takeaways with Veronika Durgin, VP of Data at Saks 5th Avenue

    Published: 4/13/2023
  6. Passing the buck; Business or Data?

    Published: 4/6/2023
  7. Takeaways with Benny Benford

    Published: 4/6/2023
  8. SHOW ME THE METRICS w/ Abhi Sivasailam

    Published: 3/30/2023
  9. Takeaways with Abhi Sivasailam

    Published: 3/30/2023
  10. Takeaways from Gartner D&A with Juan and Tim

    Published: 3/23/2023
  11. School of Building Data and Business Relationships w/ Kristin Schooley

    Published: 3/16/2023
  12. Takeaways with Kristin Schooley

    Published: 3/16/2023
  13. Data Operations vs. Data Analytics

    Published: 3/9/2023
  14. Takeaways with Bethany Lyons

    Published: 3/9/2023
  15. Catalog & Cocktails: Throwback Elixir

    Published: 3/2/2023
  16. Increasing adoption of data products, by design. w/ Brian T. O’Neill

    Published: 2/23/2023
  17. Takeaways with Brian T. O’Neill

    Published: 2/23/2023
  18. Metadata, is this a graph problem? w/ Mohammad Syed from Capco

    Published: 2/16/2023
  19. Takeaways with Mohammad Syed from Capco

    Published: 2/16/2023
  20. Everywhere you look, there it is; entity resolution w/ Jeff Jonas

    Published: 2/9/2023

7 / 16

<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>