The Data Stack Show

Podcast készítő Rudderstack

Kategóriák:

440 Epizód

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

    Közzétéve: 2023. 01. 18.
  2. The PRQL: Do We Need A Dedicated Database for Every Use Case?

    Közzétéve: 2023. 01. 16.
  3. 121: Materialize Origins: Breaking Down Data Flow Layers with Arjun Narayan and Frank McSherry

    Közzétéve: 2023. 01. 11.
  4. 120: Materialize Origins: A Timely Dataflow Story with Arjun Narayan and Frank McSherry

    Közzétéve: 2023. 01. 04.
  5. The PRQL: What’s our first ever two-part episode about?

    Közzétéve: 2023. 01. 02.
  6. 119: The Data Stack Show Wrapped: 2022

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

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

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

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

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

    Közzétéve: 2022. 12. 07.
  12. The PRQL: Data Analytics: Same As It Ever Was

    Közzétéve: 2022. 12. 05.
  13. 115: What Is Production Grade Data? Featuring Ashwin Kamath of Spectre

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

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

    Közzétéve: 2022. 11. 23.
  16. The PRQL: The Data Switchboard

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

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

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

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

    Közzétéve: 2022. 11. 11.

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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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