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Practical Real-time Data Processing and Analytics

You're reading from Practical Real-time Data Processing and Analytics

Product type Book

Published in Sep 2017

Publisher Packt

ISBN-13 9781787281202

Pages 360 pages

Edition 1st Edition

Languages

Concepts

Table of Contents (20) Chapters

Title Page

Credits

About the Authors

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Introducing Real-Time Analytics

2. Real Time Applications – The Basic Ingredients

3. Understanding and Tailing Data Streams

4. Setting up the Infrastructure for Storm

5. Configuring Apache Spark and Flink

6. Integrating Storm with a Data Source

7. From Storm to Sink

8. Storm Trident

9. Working with Spark

10. Working with Spark Operations

11. Spark Streaming

12. Working with Apache Flink

13. Case Study

Setting up and a quick execution of Flink

There are different ways to set up Flink, that is building from source or downloading and extracting it. Both ways are explained in the following sections.

Build Flink source

Download the source from http://Flink.apache.org/downloads.html or clone Git repository https://github.com/apache/Flink.

To clone from Git, enter the following command:

git clone https://github.com/apache/Flink

Maven 3.0.3 and Java 8 are required to build Flink. Use the following command to build Flink using Maven:

mvn clean install -DskipTests 
If you want to build Flink with different version of hadoop then use: 
mvn clean install -DskipTests -Dhadoop.version=2.6.1

Download Flink

Download the latest version of Flink (1.1.4) from http://Flink.apache.org/downloads.html, as shown in the following screenshot:

Extract the downloaded Flink-1.1.4-bin-hadoop27-scala_2.11.tgz file using the following commands:

mkdir demo 
mv /home/ubuntu/downloads/Flink-1.1.4-bin-hadoop27-scala_2.11.tgz ~/demo...

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