Book Content
chapters • 7h32m total length
1. Getting Started with Spark
2. Developing Applications with Spark
3. External data sources
4. Spark SQL
5. Spark Streaming
6. Getting started with Machine Learning
7. Supervised Learning with Mllib – Regression
8. Supervised Learning with MLlib – Classification
9. Unsupervised Learning
10. Recommender Systems
11. Graph Processing
12. Optimization and Performance Tuning
