Spark GraphX in Action starts out with an overview of Apache Spark and the GraphX graph processing API. This example-based tutorial then teaches you how to configure GraphX and how to use it interactively. Along the way, you'll collect practical techniques for enhancing applications and applying machine learning algorithms to graph data.

This book is ideal for anyone wishing to apply graph algorithms to Big Data, esp. It targets experienced software developers, but reviews the basics of Spark and the Scala language as well as introducing GraphX. The pages are packed with information presented concisely and the book moves right along. The book is very readable and personable (I think the style rather enjoyable to read), but I found it helpful to look up certain terms or acronyms online for more information on unfamiliar topics that the authors sometimes mention in passing. The many charts and graphs were well done and particularly helpful in making the material understandable.

GraphX is a powerful graph processing API for the Apache Spark analytics engine that lets you draw insights from large datasets. GraphX gives you unprecedented speed and capacity for running massively parallel and machine learning algorithms.