Apache Spark Graph Processing图书由Rindra Ramamonjison所著，全书共148页；Packt Publishing出版社于2015年09月出版。

　　通过本书你将学习到以下内容
　　（1）、Write, build and deploy Spark applications with the Scala Build Tool.
　　（2）、Build and analyze large-scale network datasets
　　（3）、Analyze and transform graphs using RDD and graph-specific operations
　　（4）、Implement new custom graph operations tailored to specific needs.
　　（5）、Develop iterative and efficient graph algorithms using message aggregation and Pregel abstraction
　　（6）、Extract subgraphs and use it to discover common clusters
　　（7）、Analyze graph data and solve various data science problems using real-world datasets.

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本书的章节

Chapter 1: Getting Started with Spark and GraphX
Chapter 2: Building and Exploring Graphs
Chapter 3: Graph Analysis and Visualization
Chapter 4: Transforming and Shaping Up Graphs to Your Needs
Chapter 5: Creating Custom Graph Aggregation Operators
Chapter 6: Iterative Graph-Parallel Processing with Pregel
Chapter 7: Learning Graph Structures

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