Apache Spark 2.x Cookbook

Table of Contents

1. Getting Started with Apache Spark
2. Developing Applications with Spark
3. Spark SQL
4. Working with External Data Sources
5. Spark Streaming
6. Getting Started with Machine Learning
7. Supervised Learning with MLlib
8. Supervised Learning with MLlib
9. Unsupervised learning
10. Recommendations Using Collaborative Filtering
11. Graph Processing Using GraphX and GraphFrames
12. Optimizations and Performance Tuning