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