440 Afleveringen

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

    Gepubliceerd: 18-1-2023

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

    Gepubliceerd: 16-1-2023

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

    Gepubliceerd: 11-1-2023

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

    Gepubliceerd: 4-1-2023

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

    Gepubliceerd: 2-1-2023

  6. 119: The Data Stack Show Wrapped: 2022

    Gepubliceerd: 28-12-2022

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

    Gepubliceerd: 21-12-2022

  8. The PRQL: Do You Need Business Intelligence on Your Phone?

    Gepubliceerd: 19-12-2022

  9. 117: DX for Data Tooling with Taylor Murphy of Meltano

    Gepubliceerd: 14-12-2022

  10. The PRQL: Is Business Logic Moving Further Down the Stack?

    Gepubliceerd: 12-12-2022

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

    Gepubliceerd: 7-12-2022

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

    Gepubliceerd: 5-12-2022

  13. 115: What Is Production Grade Data? Featuring Ashwin Kamath of Spectre

    Gepubliceerd: 30-11-2022

  14. The PRQL: Managing Complexities of Financial Data

    Gepubliceerd: 28-11-2022

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

    Gepubliceerd: 23-11-2022

  16. The PRQL: The Data Switchboard

    Gepubliceerd: 21-11-2022

  17. Shop Talk: Kostas Settles the Real-Time vs. Streaming Debate

    Gepubliceerd: 18-11-2022

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

    Gepubliceerd: 16-11-2022

  19. The PRQL: Graph as a Utility

    Gepubliceerd: 14-11-2022

  20. Shop Talk: What Coalesced at Coalesce?

    Gepubliceerd: 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.

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