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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 the infrastructure

To implement the use case, the following tools must be setup:

Hazelcast: We have discussed the setup of Hazelcast in previous chapters using java code and running it in eclipse. Here, we will discuss running Hazelcast using scripts. First download the setup of Hazelcast from: https://download.hazelcast.com/download.jsp?version=hazelcast-3.8&type=tar&p=

This will download the 3.8 version of Hazelcast. Extract it and you will get the following folders and files shown in the following screenshot:

Make changes in hazelcast.xml to enable Hazelcast UI that is mancenter as:

<management-center enabled="true"> http://localhost:8080/mancenter</management-center >

Now, execute the following script to start Hazelcast:

/bin/start.sh

This will start Hazelcast on the localhost and bind to port 5701. If we want to create a cluster for Hazelcast then copy the Hazelcast setup directory to a different location and execute the start.sh script again. It will...

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