درباره این اپیزود
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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Our events: https://datatalks.club/events.html
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