Completed
Wrap up
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Classroom Contents
Running Big Data Applications at Scale on K8s
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- 1 Introduction
- 2 Intuits Data Lake
- 3 Kubernetes vs Yarn
- 4 Native workflow
- 5 Spark operator
- 6 Transaction categorization
- 7 Personalization problem
- 8 Learnings
- 9 SpoK Part 3
- 10 Advantages
- 11 Future plans
- 12 Contact details
- 13 Questions
- 14 Cost Reduction
- 15 Cost Advantages
- 16 Effort
- 17 Spark
- 18 Network bottlenecks
- 19 Spark Operator on Kubernetes
- 20 What new things should data scientists learn
- 21 Container Journey
- 22 Slides
- 23 Spark Containers
- 24 Feature Processing
- 25 Spark Overlay
- 26 What do data scientists need to learn
- 27 Wrap up
