306 Episoade

  1. Takeaways with Andrew Eye

    Publicat: 27.10.2022
  2. Knowledge: the missing piece to understanding your business

    Publicat: 20.10.2022
  3. Takeaways with Loris Marini

    Publicat: 20.10.2022
  4. Data empathy; you either got it or you don’t w/ Laura Ellis from Rapid7

    Publicat: 13.10.2022
  5. Takeaways with Laura Ellis from Rapid7

    Publicat: 13.10.2022
  6. AI/ML: where should the focus be? w/ Patrick Bangert of Samsung

    Publicat: 06.10.2022
  7. Takeaways with Patrick Bangert, VP of AI at Samsung

    Publicat: 06.10.2022
  8. Struggles of Setting up a Data Governance Program w/ Rupal Sumaria

    Publicat: 29.09.2022
  9. Takeaways with Rupal Sumaria

    Publicat: 29.09.2022
  10. BONUS EPISODE: Live from Big Data London

    Publicat: 23.09.2022
  11. Keeping it 100 about metadata; the data stack glue w/ Fraser Harris, VP of Product, Fivetran

    Publicat: 22.09.2022
  12. Takeaways of EPISODE 100 w/ Fraser Harris

    Publicat: 22.09.2022
  13. The Future of Data Catalogs w/ Ole Olesen-Bagneux

    Publicat: 15.09.2022
  14. Takeaways with Ole Olesen-Bagneux

    Publicat: 15.09.2022
  15. Data Engineering: where are we and where are we going? w/ Joe Reis and Matt Housley of Ternary Data

    Publicat: 08.09.2022
  16. Takeaways with Joe Reis and Matt Housley of Ternary Data

    Publicat: 08.09.2022
  17. Catalog & Cocktails: Bonus Episode with John Kutay

    Publicat: 03.09.2022
  18. Your thoughts become action; going from Thought Leadership to Practice w/ Roel and Valentijn of Vopak

    Publicat: 01.09.2022
  19. Takeways with Roel and Valentijn

    Publicat: 01.09.2022
  20. Build bridges. Don’t Burn them. W/ Vip Parmar, WPP

    Publicat: 25.08.2022

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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>

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