Data Engineering Podcast

Un pódcast de Tobias Macey - Domingos

Domingos

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419 Episodo

  1. Make Database Performance Optimization A Playful Experience With OtterTune

    Publicado: 23/6/2021
  2. Bring Order To The Chaos Of Your Unstructured Data Assets With Unstruk

    Publicado: 18/6/2021
  3. Accelerating ML Training And Delivery With In-Database Machine Learning

    Publicado: 15/6/2021
  4. Taking A Tour Of The Google Cloud Platform For Data And Analytics

    Publicado: 12/6/2021
  5. Make Sure Your Records Are Reliable With The BookKeeper Distributed Storage Layer

    Publicado: 9/6/2021
  6. Build Your Analytics With A Collaborative And Expressive SQL IDE Using Querybook

    Publicado: 3/6/2021
  7. Making Data Pipelines Self-Serve For Everyone With Shipyard

    Publicado: 2/6/2021
  8. Paving The Road For Fast Analytics On Distributed Clouds With The Yellowbrick Data Warehouse

    Publicado: 28/5/2021
  9. Easily Build Advanced Similarity Search With The Pinecone Vector Database

    Publicado: 25/5/2021
  10. Easily Build Advanced Similarity Search With The Pinecone Vector Database

    Publicado: 25/5/2021
  11. A Holistic Approach To Data Governance Through Self Reflection At Collibra

    Publicado: 21/5/2021
  12. Unlocking The Power of Data Lineage In Your Platform with OpenLineage

    Publicado: 18/5/2021
  13. Building Your Data Warehouse On Top Of PostgreSQL

    Publicado: 14/5/2021
  14. Making Analytical APIs Fast With Tinybird

    Publicado: 11/5/2021
  15. Making Spark Cloud Native At Data Mechanics

    Publicado: 7/5/2021
  16. The Grand Vision And Present Reality of DataOps

    Publicado: 4/5/2021
  17. Self Service Data Exploration And Dashboarding With Superset

    Publicado: 27/4/2021
  18. Moving Machine Learning Into The Data Pipeline at Cherre

    Publicado: 20/4/2021
  19. Exploring The Expanding Landscape Of Data Professions with Josh Benamram of Databand

    Publicado: 13/4/2021
  20. Put Your Whole Data Team On The Same Page With Atlan

    Publicado: 6/4/2021

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This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.

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