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Practical Real-time Data Processing and Analytics

You're reading from   Practical Real-time Data Processing and Analytics Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787281202
Length 360 pages
Edition 1st Edition
Languages
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Authors (2):
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Shilpi Saxena Shilpi Saxena
Author Profile Icon Shilpi Saxena
Shilpi Saxena
Saurabh Gupta Saurabh Gupta
Author Profile Icon Saurabh Gupta
Saurabh Gupta
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introducing Real-Time Analytics FREE CHAPTER 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.

You have been reading a chapter from
Practical Real-time Data Processing and Analytics
Published in: Sep 2017
Publisher: Packt
ISBN-13: 9781787281202
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