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Apache Spark Graph Processing by Rindra Ramamonjison

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What this book covers

This book consists of seven chapters. The first three chapters help you to get started quickly with Spark and GraphX. Then, the next two chapters teach the core techniques and abstractions to manipulate and aggregate graph data. Finally, the last two chapters of this book cover more advanced topics such as graph clustering, implementing graph-parallel iterative algorithms with Pregel, and learning methods from graph data.

Chapter 1, Getting Started with Spark and GraphX, begins with an introduction to the Spark system, its libraries, and the Scala Build Tool. It explains how to install and leverage Spark on the command line and in a standalone Scala program.

Chapter 2, Building and Exploring Graphs, presents the methods for ...

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