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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

Summary

In this chapter, we discussed the case study; we selected a GeoFencing use case as a case study and explained the different use cases around GeoFencing. We explained the data model used in use case implementation: input data set, output data set, and elastic search indexes. We explained different types of tools used for implementing the use case. We had a detailed discussion on how to set up a complete environment with the different tools available and we completed implementation of the case study along with code.

In the end, we looked at how to run the use case and visualize it.

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