Running Big Data Applications at Scale on K8s

Running Big Data Applications at Scale on K8s

CNCF [Cloud Native Computing Foundation] via YouTube Direct link

Kubernetes vs Yarn

3 of 27

3 of 27

Kubernetes vs Yarn

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Classroom Contents

Running Big Data Applications at Scale on K8s

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  1. 1 Introduction
  2. 2 Intuits Data Lake
  3. 3 Kubernetes vs Yarn
  4. 4 Native workflow
  5. 5 Spark operator
  6. 6 Transaction categorization
  7. 7 Personalization problem
  8. 8 Learnings
  9. 9 SpoK Part 3
  10. 10 Advantages
  11. 11 Future plans
  12. 12 Contact details
  13. 13 Questions
  14. 14 Cost Reduction
  15. 15 Cost Advantages
  16. 16 Effort
  17. 17 Spark
  18. 18 Network bottlenecks
  19. 19 Spark Operator on Kubernetes
  20. 20 What new things should data scientists learn
  21. 21 Container Journey
  22. 22 Slides
  23. 23 Spark Containers
  24. 24 Feature Processing
  25. 25 Spark Overlay
  26. 26 What do data scientists need to learn
  27. 27 Wrap up

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