The Data Stack Show

En podcast af Rudderstack

Kategorier:

392 Episoder

  1. 109: How Does Headless Business Intelligence Work? Featuring Artyom Keydunov and Pavel Tiunov of Cube Dev

    Udgivet: 19.10.2022
  2. Shop Talk: Will the Future of the Customer Data Platform Include a Shared Logic Layer?

    Udgivet: 17.10.2022
  3. The PRQL: What Comes to Mind When You Think of ‘Headless’?

    Udgivet: 14.10.2022
  4. 108: You Can’t Separate Data Reliability From Workflow with Gleb Mezhanskiy of Datafold

    Udgivet: 12.10.2022
  5. Shop Talk: Is It Possible for Excel To Die?

    Udgivet: 10.10.2022
  6. The PRQL: Are Marketers the Worst Data Quality Offenders?

    Udgivet: 7.10.2022
  7. 107: Building Modern Data Teams with dbt Labs, REI, and Robinhood

    Udgivet: 5.10.2022
  8. Shop Talk With Eric and Kostas: Transitioning From Consumer to Builder

    Udgivet: 3.10.2022
  9. The PRQL: What Can We Learn From the Patterns of Successful Data Teams?

    Udgivet: 30.9.2022
  10. 106: Optimizing Query Workloads (and Your Snowflake Bill) with Vinoo Ganesh of Bluesky Data

    Udgivet: 28.9.2022
  11. Shop Talk With Eric and Kostas: Data Politicians

    Udgivet: 26.9.2022
  12. The PRQL: Comparing Snowflake to a Car

    Udgivet: 23.9.2022
  13. 105: The Modern Data Stack Is Just Getting Started with Astasia Myers of Quiet Capital

    Udgivet: 21.9.2022
  14. The PRQL: Kostas Becomes a Prophet

    Udgivet: 16.9.2022
  15. 104: A Decade of Change in the Data Space with Benn Stancil of Mode

    Udgivet: 14.9.2022
  16. The PRQL: What Does 10 Years in the Data Space Give You?

    Udgivet: 9.9.2022
  17. 103: Everyone Is Invited to the Data Lakehouse with Kyle Weller of Onehouse.ai

    Udgivet: 7.9.2022
  18. The PRQL: Who Really Needs To Know How a DBMS Works?

    Udgivet: 2.9.2022
  19. 102: Building Pinot for Real-Time, Interactive User Analytics with Kishore Gopalakrishna of StarTree

    Udgivet: 31.8.2022
  20. The PRQL: Data Warehouses on Steroids

    Udgivet: 26.8.2022

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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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