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Spark GraphX in Action

Michael S. Malak and Robin East
  • June 2016
  • ISBN 9781617292521
  • 280 pages
  • printed in black & white

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Learn complex graph processing from two experienced authors…A comprehensive guide.

Gaurav Bhardwaj, 3Pillar Global
Look inside

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.

about the technology

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.

about the book

Spark GraphX in Action begins with the big picture of what graphs can be used for. This example-based tutorial teaches you how to use GraphX interactively. You'll start with a crystal-clear introduction to building big data graphs from regular data, and then explore the problems and possibilities of implementing graph algorithms and architecting graph processing pipelines. Along the way, you'll collect practical techniques for enhancing applications and applying machine learning algorithms to graph data.

what's inside

  • Understanding graph technology
  • Using the GraphX API
  • Developing algorithms for big graphs
  • Machine learning with graphs
  • Graph visualization

about the reader

Readers should be comfortable writing code. Experience with Apache Spark and Scala is not required.

about the author

Michael Malak has worked on Spark applications for Fortune 500 companies since early 2013. Robin East has worked as a consultant to large organizations for over 15 years and is a data scientist at Worldpay.

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The best resource to go from GraphX novice to expert in the least amount of time.

Justin Fister, PaperRater

A must-read for anyone serious about large-scale graph data mining!

Antonio Magnaghi, OpenMail

Reveals the awesome and elegant capabilities of working with linked data for large-scale datasets.

Sumit Pal, Independent consultant
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