Chapter 1: Installing Spark and Setting Up Your Cluster
Chapter 2: Using the Spark Shell
Chapter 3: Building and Running a Spark Application
Chapter 4: Creating a SparkSession Object
Chapter 5: Loading and Saving Data in Spark
Chapter 6: Manipulating Your RDD
Chapter 7: Spark 2.0 Concepts
Chapter 8: Spark SQL
Chapter 9: Foundations of Datasets/DataFrames – The Proverbial Workhorse for DataScientists
Chapter 10: Spark with Big Data
Chapter 11: Machine Learning with Spark ML Pipelines
Chapter 12: GraphX
