The Data Stack Show

Podcast készítő Rudderstack

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440 Epizód

  1. 177: AI-Based Data Cleaning, Data Labelling, and Data Enrichment with LLMs Featuring Rishabh Bhargava of refuel

    Közzétéve: 2024. 02. 14.
  2. The PRQL: Exploring the Evolution of AI and ML with Rishabh Bhargava of refuel

    Közzétéve: 2024. 02. 12.
  3. 176: The Fundamentals of Event-Driven Orchestration and How Generative AI Is Shaping Its Future with Viren Baraiya of orkes.io

    Közzétéve: 2024. 02. 07.
  4. The PRQL: The Evolution of Application Orchestration Featuring Viren Baraiya of orkes.io

    Közzétéve: 2024. 02. 05.
  5. 175: The Parts, Pieces, and Future of Composable Data Systems, Featuring Wes McKinney, Pedro Pedreira, Chris Riccomini, and Ryan Blue

    Közzétéve: 2024. 01. 31.
  6. The PRQL: Exploring the Evolution, Challenges, and Benefits of Composable Data Stacks Featuring Wes McKinney, Pedro Pedreira, Chris Riccomini, and Ryan Blue

    Közzétéve: 2024. 01. 29.
  7. 174: Does Your Data Stack Need a Semantic Layer? Featuring Artyom Keydunov of Cube Dev

    Közzétéve: 2024. 01. 24.
  8. The PRQL: Why is a Semantic Layer Important in the Modern Data Stack? Featuring Artyom Keydunov of Cube Dev

    Közzétéve: 2024. 01. 22.
  9. 173: Data Analytics Is a Team Sport, Featuring Jay Henderson of Alteryx

    Közzétéve: 2024. 01. 17.
  10. The PRQL: Bridging the Gap Between Messy Data and Sophisticated Analytics with Jay Henderson of Alteryx

    Közzétéve: 2024. 01. 15.
  11. 172: How WebAssembly is Enabling the Third Wave of Cloud Compute with Matt Butcher of Fermyon Technologies

    Közzétéve: 2024. 01. 10.
  12. The PRQL: WebAssembly: The Future of Cloud Workloads Made Simple with Matt Butcher of Fermyon Technologies

    Közzétéve: 2024. 01. 08.
  13. 171: Machine Learning Pipelines Are Still Data Pipelines with Sandy Ryza of Dagster

    Közzétéve: 2024. 01. 03.
  14. The PRQL: Does Machine Learning Need Its Own Orchestrator? Featuring Sandy Ryza of Dagster

    Közzétéve: 2024. 01. 02.
  15. 170: Discussing Data Roles and Solving Data Problems with Katie Bauer of GlossGenius

    Közzétéve: 2023. 12. 27.
  16. The PRQL: What is a Data Scientist? Featuring Katie Bauer of GlossGenius

    Közzétéve: 2023. 12. 26.
  17. 169: Data Models: From Warehouse to Business Impact with Tasso Argyros of ActionIQ

    Közzétéve: 2023. 12. 20.
  18. The PRQL: From Databases to Customer Data Platforms with Tasso Argyros of ActionIQ

    Közzétéve: 2023. 12. 18.
  19. 168: Decoding Data Mesh: Principles, Practices, and Real-World Applications Featuring Paolo Platter, Zhamak Dehghani, and Melissa Logan

    Közzétéve: 2023. 12. 13.
  20. The PRQL: A Data Mesh Deep Dive with Paolo Platter, Zhamak Dehghani, and Melissa Logan

    Közzétéve: 2023. 12. 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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