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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

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787126497

Length 350 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Authors (2):

Kumar

Gulati

View More author details

Table of Contents (19) Chapters

Title Page

Credits

Foreword

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

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

Introducing Spark Streaming

With the advancement and expansion of big data technologies, most of the companies have shifted their focus towards data-driven decision making. It has now become an essential and integral part of the business. In the current world, not only the analytics is important, but also how early it is made available is important. Offline data analytics, as known as batch analytics, help in providing analytics on the history data. On the other hand, online data analytics showcase what is happening in real time. It helps organizations to take decisions as early as possible to keep themselves ahead of their competitors. Online analytics/near real time analytics is done by reading incoming streams of data, for example user activities for e-commerce websites, and process those streams to get valuable results.

The Spark Streaming API is a library that allows you to process data from live streams at near real time. It provides high scalability, fault tolerance, high throughput...

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Authors (2)

Kumar

Kumar

Sumit Kumar is a developer with industry insights in telecom and banking. At different junctures, he has worked as a Java and SQL developer, but it is shell scripting that he finds both challenging and satisfying at the same time. Currently, he delivers big data projects focused on batch/near-real-time analytics and the distributed indexed querying system. Besides IT, he takes a keen interest in human and ecological issues.

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Gulati

Gulati

Sourav Gulati is associated with software industry for more than 7 years. He started his career with Unix/Linux and Java and then moved towards big data and NoSQL World. He has worked on various big data projects. He has recently started a technical blog called Technical Learning as well. Apart from IT world, he loves to read about mythology.

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