The Data Stack Show

En podcast af Rudderstack

Kategorier:

392 Episoder

  1. 128: The Possibilities Are Endless for Synthetic Data with Alex Watson of Gretel.ai

    Udgivet: 1.3.2023
  2. The PRQL: Boundaries Between Synthetic Data and Prediction Models

    Udgivet: 27.2.2023
  3. 127: The Anatomy of a Data Lakehouse with Alex Merced of Dremio

    Udgivet: 22.2.2023
  4. The PRQL: What Does It Mean to be a Developer Advocate?

    Udgivet: 20.2.2023
  5. 126: Crossing the Product Analytics Chasm with Spenser Skates of Amplitude Analytics

    Udgivet: 15.2.2023
  6. The PRQL: Amplitude - From Startup to IPO

    Udgivet: 13.2.2023
  7. 125: Authorization Is A Data Problem with Jeff Chao of Abbey Labs

    Udgivet: 8.2.2023
  8. The PRQL: Solving Identity in Marketing vs. Security

    Udgivet: 6.2.2023
  9. 124: Pragmatism About Data Stacks with Pedram Navid of West Marin Data

    Udgivet: 1.2.2023
  10. The PRQL: What Does the Modern Data Stack Mean to Normal Companies?

    Udgivet: 30.1.2023
  11. 123: What Is a Universal Database? Featuring Stavros Papadopoulos of TileDB, Inc.

    Udgivet: 25.1.2023
  12. The PRQL: Bringing Innovation to the Lowest Level of Databases

    Udgivet: 23.1.2023
  13. 122: Why Accounting Needs Its Own Database with Joran Greef of Tiger Beetle

    Udgivet: 18.1.2023
  14. The PRQL: Do We Need A Dedicated Database for Every Use Case?

    Udgivet: 16.1.2023
  15. 121: Materialize Origins: Breaking Down Data Flow Layers with Arjun Narayan and Frank McSherry

    Udgivet: 11.1.2023
  16. 120: Materialize Origins: A Timely Dataflow Story with Arjun Narayan and Frank McSherry

    Udgivet: 4.1.2023
  17. The PRQL: What’s our first ever two-part episode about?

    Udgivet: 2.1.2023
  18. 119: The Data Stack Show Wrapped: 2022

    Udgivet: 28.12.2022
  19. 118: Bringing Powerful Business Intelligence to Mobile with Zack Hendlin of Zing Data

    Udgivet: 21.12.2022
  20. The PRQL: Do You Need Business Intelligence on Your Phone?

    Udgivet: 19.12.2022

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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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