Table of Contents
- Understanding Spark
- Installing Spark
- Resilient Distributed Datasets
- DataFrames
- Prepare Data for Modeling
- Introducing MLlib
- Introducing the ML Package
- GraphFrames
- TensorFrames
- Polyglot Persistence with Blaze
- Structured Streaming
- Free Spark Cloud Offering
- Packaging Spark Applications
