Monday Morning Data Chat

En podcast av Ternary Data

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180 Avsnitt

  1. #64 - Data Observability Trends in 2022 w/ Kevin Hu (Metaplane)

    Publicerades: 2022-01-10
  2. #63 - Kicking off 2022 w/ Ben Rogojan (The Seattle Data Guy)

    Publicerades: 2022-01-03
  3. #62 - Data Engineering vs ML Engineering

    Publicerades: 2021-12-27
  4. #61 - 2021 Recap, and our 2022 Data Predictions

    Publicerades: 2021-12-20
  5. #60 - Data Engineering Hiring Challenges in 2022 - "Build or Buy?"

    Publicerades: 2021-12-14
  6. #59 - Review of AWS re:Invent + WTF is wrong w/ Data Science Right Now?

    Publicerades: 2021-12-07
  7. #58 - Metadata + Data Catalogs w/ Pardhu Gunnam & Mars Lan (Metaphor)

    Publicerades: 2021-11-29
  8. #57 - Career Advice w/ Chris Tabb - Live From Boston!

    Publicerades: 2021-11-22
  9. #56 - Data Engineer Career Advice w/ Ben Rogojan (The Seattle Data Guy)

    Publicerades: 2021-11-16
  10. #55 - How To Get A Job as an Analyst, w/ Al Bellamy

    Publicerades: 2021-11-08
  11. #54 - Master Data w/ "The Data Whisperer" Scott Taylor (Meta Meta Consulting)

    Publicerades: 2021-11-03
  12. #53 - Data Quality & Data Observability w/ Josh Benamram (CEO of Databand)

    Publicerades: 2021-10-25
  13. #52 - ML and Data Observability w/ Andy Dang (WhyLabs)

    Publicerades: 2021-10-19
  14. #51 - Data Observability w/ Lior Gavish (Monte Carlo)

    Publicerades: 2021-10-11
  15. #50 - Review of Matt Turck's 2021 Machine Learning, AI and Data (MAD) Landscape

    Publicerades: 2021-10-04
  16. #49 - Tips for Communicating with Stakeholders

    Publicerades: 2021-09-28
  17. #48 - A Discussion on Multi-Cloud

    Publicerades: 2021-09-20
  18. #47 - The Undercurrents of Data Engineering

    Publicerades: 2021-09-14
  19. #46 - Data Engineering Hiring & Retention in Late 2021

    Publicerades: 2021-09-06
  20. #45 - The Dysfunctions of Data Engineering w/ Felix Eggert (Special Guest)

    Publicerades: 2021-08-31

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Every Monday morning, two data nerds - Matt Housley and Joe Reis - have candid and unscripted chats about data.

Visit the podcast's native language site