440 Episodes

  1. 78: The Etymology of Reverse ETL & Why It’s a Key Piece Of The Modern Data Stack with Boris Jabes of Census

    Published: 3/9/2022
  2. The PRQL: Reverse ETL and the Distinction Between Operation vs Analysis on Data

    Published: 3/4/2022
  3. 77: Standardizing Unstructured Data with Verl Allen of Claravine

    Published: 3/2/2022
  4. The PRQL: If Everything Is Data, How Can We Make Sense of It All?

    Published: 2/25/2022
  5. 76: Why a Data Team Should Limit Its Own Superpowers with Sean Halliburton of CNN

    Published: 2/23/2022
  6. The PRQL: How Important Is the Human Factor When Working With Data?

    Published: 2/18/2022
  7. 75: How To Become a Data Engineer with Parham Parvizi of the Data Stack Academy

    Published: 2/16/2022
  8. The PRQL: Can We Define the Role of the Data Engineer (Yet)?

    Published: 2/11/2022
  9. 74: Kostas Respawns at Starburst, is Interviewed by Eric, and Reminisces About Winamp

    Published: 2/9/2022
  10. The PRQL: What Prompts a Conversation About Winamp & Quake Arena on The Data Stack Show?

    Published: 2/4/2022
  11. 73: What a High Performing Data Team (and Stack) Looks Like with Paige Berry of Netlify

    Published: 2/2/2022
  12. The PRQL: How High Performing Data Teams Put Tooling in the Background

    Published: 1/28/2022
  13. 72: Building Data Ops Into the Data Lifecycle with Douwe Maan of Meltano

    Published: 1/26/2022
  14. The PRQL: Is It Viable to Manage Integrations Open Source?

    Published: 1/21/2022
  15. 71: ETL at the Edges with Jimmy Chan of Dropbase

    Published: 1/19/2022
  16. The PRQL: Is Kostas an Excel Power User Yes/No?

    Published: 1/14/2022
  17. 70: The Difference Between Data Lakes and Data Warehouses with Vinoth Chandar of Apache Hudi

    Published: 1/12/2022
  18. The PRQL: What Old Tech Concepts Were Borrowed to Build the Data Lake House?

    Published: 1/7/2022
  19. 69: What is the Modern Data Stack?

    Published: 1/5/2022
  20. The PRQL: Should Data Trust Drive the Evolution of Your Data Stack?

    Published: 12/31/2021

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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.