Fast Data Processing with Spark 2

Table of Contents

1. Installing Spark and Setting Up Your Cluster
2. Using the Spark Shell
3. Building and Running a Spark Application
4. Creating a SparkSession
5. Loading and Saving Data in Spark
6. Manipulating Your RDD
7. Spark 2.0 Concepts
8. Spark SQL
9. Foundations of Da-tasets/DataFrames - The pro-verbial workhorse for DataSci-entists
10. Spark with Big Data
11. Machine Learning with Spark ML Pipelines
12. Graphx