The Data Stack Show

A podcast by Rudderstack

Categories:

440 Episodes

  1. 122: Why Accounting Needs Its Own Database with Joran Greef of Tiger Beetle

    Published: 1/18/2023
  2. The PRQL: Do We Need A Dedicated Database for Every Use Case?

    Published: 1/16/2023
  3. 121: Materialize Origins: Breaking Down Data Flow Layers with Arjun Narayan and Frank McSherry

    Published: 1/11/2023
  4. 120: Materialize Origins: A Timely Dataflow Story with Arjun Narayan and Frank McSherry

    Published: 1/4/2023
  5. The PRQL: What’s our first ever two-part episode about?

    Published: 1/2/2023
  6. 119: The Data Stack Show Wrapped: 2022

    Published: 12/28/2022
  7. 118: Bringing Powerful Business Intelligence to Mobile with Zack Hendlin of Zing Data

    Published: 12/21/2022
  8. The PRQL: Do You Need Business Intelligence on Your Phone?

    Published: 12/19/2022
  9. 117: DX for Data Tooling with Taylor Murphy of Meltano

    Published: 12/14/2022
  10. The PRQL: Is Business Logic Moving Further Down the Stack?

    Published: 12/12/2022
  11. 116: Data Democratization & Self Service with Aron Clymer of Data Clymer

    Published: 12/7/2022
  12. The PRQL: Data Analytics: Same As It Ever Was

    Published: 12/5/2022
  13. 115: What Is Production Grade Data? Featuring Ashwin Kamath of Spectre

    Published: 11/30/2022
  14. The PRQL: Managing Complexities of Financial Data

    Published: 11/28/2022
  15. 114: Solving Data Infrastructure Problems at Startups and Enterprises with Max Werner of Obsessive Analytics Consulting

    Published: 11/23/2022
  16. The PRQL: The Data Switchboard

    Published: 11/21/2022
  17. Shop Talk: Kostas Settles the Real-Time vs. Streaming Debate

    Published: 11/18/2022
  18. 113: What Is Streaming Graph? Featuring Ryan Wright of thatDot

    Published: 11/16/2022
  19. The PRQL: Graph as a Utility

    Published: 11/14/2022
  20. Shop Talk: What Coalesced at Coalesce?

    Published: 11/11/2022

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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.