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Spark GraphX in Action

Amazon.com Price:  $41.59 (as of 22/04/2019 23:51 PST- Details)

Description

Summary

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 configure GraphX and use it interactively. Along the way, You can collect practical techniques for enhancing applications and applying machine learning algorithms to graph data.

Purchase of the print book features a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

GraphX is a powerful graph processing API for the Apache Spark analytics engine that permits you to draw insights from large datasets. GraphX will give 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 utilized for. This example-based tutorial teaches you use GraphX interactively. You can start with a crystal-clear introduction to building big data graphs from regular data, and then explore the problems and probabilities of implementing graph algorithms and architecting graph processing pipelines. Along the way, You can 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 will have to be comfortable writing code. Experience with Apache Spark and Scala isn’t required.

About the Authors

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.

Table of Contents

    PART 1 SPARK AND GRAPHS

  1. Two essential technologies: Spark and graphs
  2. GraphX quick start
  3. Some fundamentals
  4. PART 2 CONNECTING VERTICES

  5. GraphX Basics
  6. Built-in algorithms
  7. Other useful graph algorithms
  8. Machine learning
  9. PART 3 OVER THE ARC

  10. The missing algorithms
  11. Performance and monitoring
  12. Other languages and tools
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