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

A podcast by data.world - Thursdays

Thursdays

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306 Episodes

  1. Sure, you’re responsible, but are you ethical? w/ Partha Srinivasa

    Published: 10/14/2021
  2. A data analyst, scientist, and engineer walk into a bar...w/ Danielle Oberdier

    Published: 10/7/2021
  3. Do we have a data infrastructure crisis? w/ Mammad Zadeh

    Published: 9/30/2021
  4. Fashion Week...but for data w/ Jans Aasman

    Published: 9/23/2021
  5. How to think about data value w/ Lars Albertsson

    Published: 9/16/2021
  6. What’s the deal with Reverse ETL? w/ Tejas Manohar

    Published: 9/9/2021
  7. The Era of Data Usage w/ Mike Ferguson

    Published: 9/2/2021
  8. Can’t spell BUZZWORDS without BS w/ Kirk Borne of DataPrime AI

    Published: 8/26/2021
  9. Free-range, grass-fed, open-source data w/ Denise Gosnell of Datastax

    Published: 8/19/2021
  10. Documents and Clouds and Graphs, Oh My! w/ Emil Eifrem, CEO of Neo4j

    Published: 8/12/2021
  11. SEASON TWO KICKOFF w/ DJ PATIL

    Published: 8/4/2021
  12. Special Edition: Panel on Data Architecture at the Knowledge Graph Conference

    Published: 7/6/2021
  13. SEASON ONE FINALE: Episode 50

    Published: 6/3/2021
  14. The Future of BI is AI

    Published: 5/27/2021
  15. Knowledge is Power: Knowledge Management meets Data Management

    Published: 5/20/2021
  16. Don’t Treat your Data Stack like a Fine Wine

    Published: 5/13/2021
  17. Data Organization: Reap what you Sow

    Published: 5/6/2021
  18. What’s the Secret Recipe for DataOps?

    Published: 4/29/2021
  19. Why it’s time to mesh with your data architecture

    Published: 4/22/2021
  20. What do they teach at your Data Science U?

    Published: 4/15/2021

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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>