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Storytime for DataOps - Christopher Bergh

52 min • 22 april 2022

We talked about:

  • Christopher’s background
  • The essence of DataOps
  • Also known as Agile Analytics Operations or DevOps for Data Science
  • Defining processes and automating them (defining “done” and “good”)
  • The balance between heroism and fear (avoiding deferred value)
  • The Lean approach
  • Avoiding silos
  • The 7 steps to DataOps
  • Wanting to become replaceable
  • DataOps is doable
  • Testing tools
  • DataOps vs MLOps
  • The Head Chef at Data Kitchen
  • What’s grilling at Data Kitchen?
  • The DataOps Cookbook


Links:

  • DataOps Manifesto website: https://dataopsmanifesto.org/en/
  • DataOps Cookbook: https://dataops.datakitchen.io/pf-cookbook
  • Recipes for DataOps Success: https://dataops.datakitchen.io/pf-recipes-for-dataops-success
  • DataOps Certification Course: https://info.datakitchen.io/training-certification-dataops-fundamentals
  • DataOps Blog: https://datakitchen.io/blog/
  • DataOps Maturity Model: https://datakitchen.io/dataops-maturity-model/
  • DataOps Webinars: https://datakitchen.io/webinars/


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