Introduction to Spark Datasets

Introduction to Spark Datasets

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22 of 22

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Introduction to Spark Datasets

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  1. 1 Intro
  2. 2 What is Spark?
  3. 3 The different pieces of Spark
  4. 4 Why should we consider Spark SQL?
  5. 5 What is the performance like?
  6. 6 How is it so fast?
  7. 7 How much more space efficient?
  8. 8 Getting started
  9. 9 Loading some simple JSON data
  10. 10 Sample case class for schema
  11. 11 Then apply some type magic
  12. 12 What do relational transforms look like?
  13. 13 Writing a relational transformation
  14. 14 What can the optimizer do now?
  15. 15 Using Datasets to mix functional & relational style
  16. 16 And functional style maps
  17. 17 What is DS functional perf like?
  18. 18 Build the recipe for each query
  19. 19 Windowed operations
  20. 20 Window specs
  21. 21 Summary: Why to use Datasets
  22. 22 The next book.....

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