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Apache Spark 2.x for Java Developers

You're reading from  Apache Spark 2.x for Java Developers

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781787126497
Pages 350 pages
Edition 1st Edition
Languages
Authors (2):
Sourav Gulati Sourav Gulati
Profile icon Sourav Gulati
Sumit Kumar Sumit Kumar
Profile icon Sumit Kumar
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 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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