440 Episodio

  1. 112: Python Native Stream Processing with Zander Matheson of bytewax

    Pubblicato: 09/11/2022
  2. The PRQL: Who Needs a Stream Processing Engine?

    Pubblicato: 07/11/2022
  3. Shop Talk: The Business of Data Infrastructure is Uniquely Challenging

    Pubblicato: 04/11/2022
  4. 111: What if Your Code Just Ran in the Cloud for You? Featuring Erik Bernhardsson of Modal Labs

    Pubblicato: 02/11/2022
  5. The PRQL: Erik Bernhardsson Just Can’t Stop Solving Problems

    Pubblicato: 28/10/2022
  6. 110: How Can Data Discovery Help You Understand Your Data? Featuring Shinji Kim of Select Star

    Pubblicato: 26/10/2022
  7. Shop Talk: Why Are There So Many Flavors of Databases?

    Pubblicato: 24/10/2022
  8. The PRQL: What is Data Discovery?

    Pubblicato: 21/10/2022
  9. 109: How Does Headless Business Intelligence Work? Featuring Artyom Keydunov and Pavel Tiunov of Cube Dev

    Pubblicato: 19/10/2022
  10. Shop Talk: Will the Future of the Customer Data Platform Include a Shared Logic Layer?

    Pubblicato: 17/10/2022
  11. The PRQL: What Comes to Mind When You Think of ‘Headless’?

    Pubblicato: 14/10/2022
  12. 108: You Can’t Separate Data Reliability From Workflow with Gleb Mezhanskiy of Datafold

    Pubblicato: 12/10/2022
  13. Shop Talk: Is It Possible for Excel To Die?

    Pubblicato: 10/10/2022
  14. The PRQL: Are Marketers the Worst Data Quality Offenders?

    Pubblicato: 07/10/2022
  15. 107: Building Modern Data Teams with dbt Labs, REI, and Robinhood

    Pubblicato: 05/10/2022
  16. Shop Talk With Eric and Kostas: Transitioning From Consumer to Builder

    Pubblicato: 03/10/2022
  17. The PRQL: What Can We Learn From the Patterns of Successful Data Teams?

    Pubblicato: 30/09/2022
  18. 106: Optimizing Query Workloads (and Your Snowflake Bill) with Vinoo Ganesh of Bluesky Data

    Pubblicato: 28/09/2022
  19. Shop Talk With Eric and Kostas: Data Politicians

    Pubblicato: 26/09/2022
  20. The PRQL: Comparing Snowflake to a Car

    Pubblicato: 23/09/2022

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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.

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