180 Épisodes

  1. #146 - Improving Your Health and Wellness - Techie Edition w/ Colleen Fotsch

    Publié: 02/10/2023
  2. #145 - Data Engineering AMA w/ Matt Housley and Joe Reis

    Publié: 26/09/2023
  3. #144 - Data Career Advice w/ Matt Housley, Chris Tabb, and Joe Reis

    Publié: 18/09/2023
  4. #143 - The Future of Generative AI in Data Analytics w/ Amit Prakash

    Publié: 11/09/2023
  5. #142 - Incentivizing Devs to Pursue Open-Source Projects w/ Max Howell

    Publié: 04/09/2023
  6. #141 - Data Vendors and Grifters w/ Aaron Hunsaker

    Publié: 29/08/2023
  7. #140 - The Power of 3 (Math Nerds, Professors, and Authors) w/ Hala Nelson

    Publié: 21/08/2023
  8. #139 - Streaming Data Processing Deep Dive w/ David Yaffe and Johnny Graettinger (Estuary)

    Publié: 14/08/2023
  9. #138 - The Rise and Importance of Business Language w/ John O'Gorman

    Publié: 07/08/2023
  10. #137 - Why Apache Iceberg Won the Table Format War, Data Mesh, and More w/ Brian Olsen

    Publié: 31/07/2023
  11. #136 - Programming Languages for Data Science, and Why Your BI Team is Your Best Bet for Data Science w/ Dave Langer

    Publié: 24/07/2023
  12. #135 - Dataframe Deep Dive w/ Devin Petersohn

    Publié: 18/07/2023
  13. #134 - Should Your Business Chase Generative AI? w/ Andreas Welsch

    Publié: 10/07/2023
  14. #133 - Intro to Data Contracts w/ Andrew Jones

    Publié: 03/07/2023
  15. #132 - Data Collaboration From the Outside-In w/ Andrew Padilla

    Publié: 26/06/2023
  16. #131 - The Importance of Actionable Data to Inform Decision-Making w/ Joe Perez

    Publié: 20/06/2023
  17. #130 - Data Modeling in 2023 w/ Colin Zima

    Publié: 12/06/2023
  18. #129 - Putting Data Products at the Center of Data Management w/ Saket Saurabh

    Publié: 05/06/2023
  19. #128 - Big & Small Data in 2023 w/ Joe Reis & Matt Housley

    Publié: 29/05/2023
  20. #127 - Product Management as a Data Scientist w/ Santona Tuli

    Publié: 22/05/2023

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

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