Preview "Stream Processing with Apache Spark" in a new window.

Stream Processing with Apache Spark

Authors

Book Description

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You’ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs.

Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API.

Learn fundamental stream processing concepts and examine different streaming architecturesExplore Structured Streaming through practical examples; learn different aspects of stream processing in detailCreate and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIsLearn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithmsCompare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams

In The Press

About the Author

Read on Your Favourite Devices

to find out more

Ebook Permissions

to find out more

About this Ebook

File formats
This ebook is available in:
The publisher has not yet supplied format information.
Pre-order formats shown are based on publisher intent and may change before release.
File sizes shown are an approximation. The actual download size will vary based on the application you use to read the book.
Publisher
Published
; Copyright:
ISBNs
Title
Series
Author
;
Edition
Imprint
Language
Number of Pages
Page count shown is an approximation provided by the publisher. The actual page count will vary based on various factors such as your device's screen size and font-size.