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Apache Spark 2.x for Java Developers

You're reading from   Apache Spark 2.x for Java Developers Explore big data at scale using Apache Spark 2.x Java APIs

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787126497
Length 350 pages
Edition 1st Edition
Languages
Concepts
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Authors (2):
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Sourav Gulati Sourav Gulati
Author Profile Icon Sourav Gulati
Sourav Gulati
Sumit Kumar Sumit Kumar
Author Profile Icon Sumit Kumar
Sumit Kumar
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introduction to Spark FREE CHAPTER 2. Revisiting Java 3. Let Us Spark 4. Understanding the Spark Programming Model 5. Working with Data and Storage 6. Spark on Cluster 7. Spark Programming Model - Advanced 8. Working with Spark SQL 9. Near Real-Time Processing with Spark Streaming 10. Machine Learning Analytics with Spark MLlib 11. Learning Spark GraphX

Summary


In this chapter, we discussed the Spark Graphx library. We started with graph abstraction provided in the Graphx library known as the Property Graph and then we discussed various graph operations provided by the Graphx library with code examples. Finally, we discussed built-in graph algorithms provided by the Graphx library along with code examples.

The motive of this book is to explain concepts of Spark in detail and provide their implementations in Java and this is what we have focused while writing each chapter of this book. We would like to thank all the readers of this book and hope that this book has served the purpose of learning that you aspired for. Your feedback is precious for us so please feel free to provide your feedback, at Packt Publishing for this book. As said, once you know how to walk you can always make efforts to run, we hope that this book will help readers to walk on the road of Apache Spark and guide them to achieve their goals.

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