Book description
Data in all domains is getting bigger. How can you work with it efficiently? Recently updated for Spark 1.3, this book introduces Apache Spark, the open source cluster computing system that makes data analytics fast to write and fast to run. With Spark, you can tackle big datasets quickly through simple APIs in Python, Java, and Scala. This edition includes new information on Spark SQL, Spark Streaming, setup, and Maven coordinates.
Publisher resources
Table of contents
- Foreword
- Preface
- 1. Introduction to Data Analysis with Spark
- 2. Downloading Spark and Getting Started
- 3. Programming with RDDs
- 4. Working with Key/Value Pairs
- 5. Loading and Saving Your Data
- 6. Advanced Spark Programming
- 7. Running on a Cluster
- 8. Tuning and Debugging Spark
- 9. Spark SQL
- 10. Spark Streaming
- 11. Machine Learning with MLlib
- Index
Product information
- Title: Learning Spark
- Author(s):
- Release date: February 2015
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781449358624
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