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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 have discussed various aspects of the big data technology landscape and big data as an infrastructure and computation candidate. We walked the reader through various considerations and caveats to be taken into account while designing and deciding upon the big data infrastructural space. We had our uses introduced to reality of real–time analytics, the NRT architecture, and also touched upon the vast variety of use cases which can possibly be addressed by harnessing the power of IOT and NRT. Towards the end of the chapter, we briefly touched upon the concept of edge computing and cloud infrastructure for IOT.

In the next chapter, we will have the readers moving a little deeper into the real–time analytical application, architecture, and concepts. We will touch upon the basic building blocks of an NRT application, the technology stack required and the challenges encountered while developing it.

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Practical Real-time Data Processing and Analytics

Published in: Sep 2017 Publisher: Packt ISBN-13: 9781787281202

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