The Data Stack Show

En podcast af Rudderstack

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392 Episoder

  1. 117: DX for Data Tooling with Taylor Murphy of Meltano

    Udgivet: 14.12.2022
  2. The PRQL: Is Business Logic Moving Further Down the Stack?

    Udgivet: 12.12.2022
  3. 116: Data Democratization & Self Service with Aron Clymer of Data Clymer

    Udgivet: 7.12.2022
  4. The PRQL: Data Analytics: Same As It Ever Was

    Udgivet: 5.12.2022
  5. 115: What Is Production Grade Data? Featuring Ashwin Kamath of Spectre

    Udgivet: 30.11.2022
  6. The PRQL: Managing Complexities of Financial Data

    Udgivet: 28.11.2022
  7. 114: Solving Data Infrastructure Problems at Startups and Enterprises with Max Werner of Obsessive Analytics Consulting

    Udgivet: 23.11.2022
  8. The PRQL: The Data Switchboard

    Udgivet: 21.11.2022
  9. Shop Talk: Kostas Settles the Real-Time vs. Streaming Debate

    Udgivet: 18.11.2022
  10. 113: What Is Streaming Graph? Featuring Ryan Wright of thatDot

    Udgivet: 16.11.2022
  11. The PRQL: Graph as a Utility

    Udgivet: 14.11.2022
  12. Shop Talk: What Coalesced at Coalesce?

    Udgivet: 11.11.2022
  13. 112: Python Native Stream Processing with Zander Matheson of bytewax

    Udgivet: 9.11.2022
  14. The PRQL: Who Needs a Stream Processing Engine?

    Udgivet: 7.11.2022
  15. Shop Talk: The Business of Data Infrastructure is Uniquely Challenging

    Udgivet: 4.11.2022
  16. 111: What if Your Code Just Ran in the Cloud for You? Featuring Erik Bernhardsson of Modal Labs

    Udgivet: 2.11.2022
  17. The PRQL: Erik Bernhardsson Just Can’t Stop Solving Problems

    Udgivet: 28.10.2022
  18. 110: How Can Data Discovery Help You Understand Your Data? Featuring Shinji Kim of Select Star

    Udgivet: 26.10.2022
  19. Shop Talk: Why Are There So Many Flavors of Databases?

    Udgivet: 24.10.2022
  20. The PRQL: What is Data Discovery?

    Udgivet: 21.10.2022

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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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