本书于2017-07由Packt Publishing出版，作者Sourav Gulati, Sumit Kumar，全书662页。

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通过本书你将学到以下知识

• Process data using different file formats such as XML, JSON, CSV, and plain and delimited text, using the Spark core Library.
• Perform analytics on data from various data sources such as Kafka, and Flume using Spark Streaming Library
• Learn SQL schema creation and the analysis of structured data using various SQL functions including Windowing functions in the Spark SQL Library
• Explore Spark Mlib APIs while implementing Machine Learning techniques to solve real-world problems
• Get to know Spark GraphX so you understand various graph-based analytics that can be performed with Spark

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本书的章节

1. INTRODUCTION TO SPARK
2. REVISITING JAVA
3. LET US SPARK
4. UNDERSTANDING THE SPARK PROGRAMMING MODEL
5. WORKING WITH DATA AND STORAGE
6. SPARK ON CLUSTER
7. SPARK PROGRAMMING MODEL - ADVANCED
8. WORKING WITH SPARK SQL

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