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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

NRT – technology view

In this section, we introduce you to various technological choices for NRT components and their pros and cons in certain situations. As the book progresses, we will revisit this section in more detail to help you understand why certain tools and stacks are better suited to solving certain use cases.

Before moving on, it's very important to understand the key aspects against which all the tools and technologies are generally evaluated. The aspects mentioned here are generic to software, we move on to the specifics of NRT tools later:

Performance: This is basically gauging the performance of the software component on a given set of hardware at a given load.
Capacity: This is a very crucial aspect because it decides the breaking point for any application.
Management: How easy or cumbersome is the management of the component? Would I need specialized engineers to maintain it?
Scalability: Is the component scalable so it can accommodate an increasing load of traffic and new...

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