DataTalks.Club

From MLOps to DataOps - Santona Tuli

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We talked about:

  • Santona's background
  • Focusing on data workflows
  • Upsolver vs DBT
  • ML pipelines vs Data pipelines
  • MLOps vs DataOps
  • Tools used for data pipelines and ML pipelines
  • The “modern data stack” and today's data ecosystem
  • Staging the data and the concept of a “lakehouse”
  • Transforming the data after staging
  • What happens after the modeling phase
  • Human-centric vs Machine-centric pipeline
  • Applying skills learned in academia to ML engineering
  • Crafting user personas based on real stories
  • A framework of curiosity
  • Santona's book and resource recommendations


    • Links:

    • LinkedIn: https://www.linkedin.com/in/santona-tuli/
    • Upsolver website: upsolver.com
    • Why we built a SQL-based solution to unify batch and stream workflows: https://www.upsolver.com/blog/why-we-built-a-sql-based-solution-to-unify-batch-and-stream-workflows


      • Free MLOps course: https://github.com/DataTalksClub/mlops-zoomcamp

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