Modernizing Apache Spark 3.0 Applications - Best Practices and Optimization Techniques

Modernizing Apache Spark 3.0 Applications - Best Practices and Optimization Techniques

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Intro

1 of 15

1 of 15

Intro

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Modernizing Apache Spark 3.0 Applications - Best Practices and Optimization Techniques

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  1. 1 Intro
  2. 2 Denis Diderot and the Diderot effect
  3. 3 The Diderot effect in data processing systems
  4. 4 The Diderot effect in Spark: Project Tungsten (2015)
  5. 5 The Diderot effect, revised for 2021
  6. 6 What's your oldest Spark application?
  7. 7 Abstractions can leak in performance tuning
  8. 8 Choosing the right partition size is difficult
  9. 9 Adaptive query execution: coalescing
  10. 10 Sidebar: some basics on joins
  11. 11 Adaptive query execution: partition pruning
  12. 12 Enabling adaptive query execution
  13. 13 Accelerating Spark with NVIDIA GPUs
  14. 14 Case study: predicting customer churn
  15. 15 What's next?

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