440 Episodes

  1. 105: The Modern Data Stack Is Just Getting Started with Astasia Myers of Quiet Capital

    Published: 9/21/2022
  2. The PRQL: Kostas Becomes a Prophet

    Published: 9/16/2022
  3. 104: A Decade of Change in the Data Space with Benn Stancil of Mode

    Published: 9/14/2022
  4. The PRQL: What Does 10 Years in the Data Space Give You?

    Published: 9/9/2022
  5. 103: Everyone Is Invited to the Data Lakehouse with Kyle Weller of Onehouse.ai

    Published: 9/7/2022
  6. The PRQL: Who Really Needs To Know How a DBMS Works?

    Published: 9/2/2022
  7. 102: Building Pinot for Real-Time, Interactive User Analytics with Kishore Gopalakrishna of StarTree

    Published: 8/31/2022
  8. The PRQL: Data Warehouses on Steroids

    Published: 8/26/2022
  9. 101: The Future of Machine Learning with Willen Pienaar of Tecton and Tristan Zajonc of Continual

    Published: 8/24/2022
  10. The PRQL: Can Machine Learning Be Commoditized?

    Published: 8/19/2022
  11. 100: Data Quality Is Relative to Purpose with James Campbell of Superconductive

    Published: 8/17/2022
  12. The PRQL: What’s the Hardest Part About Data Quality?

    Published: 8/12/2022
  13. 99: State of the Data Lakehouse with Vinoth Chandar of Apache Hudi

    Published: 8/10/2022
  14. The PRQL: Does Lakehouse Architecture Really Mean the End of the Data Warehouse and Data Lake As We Know It?

    Published: 8/5/2022
  15. 98: Category Theory and the Mathematical Foundation of the Technologies We Use with Eric Daimler of Conexus

    Published: 8/3/2022
  16. The PRQL: Farm to Table Abstract Mathematics

    Published: 7/29/2022
  17. 97: How To Build an Organization-Empowering Data Team with Emilie Schario of Amplify Partners

    Published: 7/27/2022
  18. The PRQL: If You Were Building a Data Team What Would Your First Hire Be?

    Published: 7/22/2022
  19. 96: How To Collect and Leverage Data From the Physical World with Prateek Joshi of Plutoshift

    Published: 7/20/2022
  20. The PRQL: Collecting Data in the Physical World

    Published: 7/15/2022

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Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.