Table of Contents:
  • Introduction to data analysis with Spark
  • Downloading Spark and getting started
  • Programming with RDDs
  • Working with key/value pairs
  • Loading and saving your data
  • Advanced Spark programming
  • Running on a cluster
  • Tuning and debugging Spark
  • Spark SQL
  • Spark streaming
  • Machine learning with MLlib.