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Real-Time Big Data Analytics

You're reading from   Real-Time Big Data Analytics Design, process, and analyze large sets of complex data in real time

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781784391409
Length 326 pages
Edition 1st Edition
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Author (1):
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Shilpi Saxena Shilpi Saxena
Author Profile Icon Shilpi Saxena
Shilpi Saxena
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Table of Contents (12) Chapters Close

Preface 1. Introducing the Big Data Technology Landscape and Analytics Platform FREE CHAPTER 2. Getting Acquainted with Storm 3. Processing Data with Storm 4. Introduction to Trident and Optimizing Storm Performance 5. Getting Acquainted with Kinesis 6. Getting Acquainted with Spark 7. Programming with RDDs 8. SQL Query Engine for Spark – Spark SQL 9. Analysis of Streaming Data Using Spark Streaming 10. Introducing Lambda Architecture Index

Summary

We covered quite a bit on Storm, its history, and its inception in this chapter. We introduced the components of Storm along with internal implementations of certain key aspects of Storm. We saw actual code and we now expect you to be able to set up Storm (local and cluster) and execute the basic examples as part of a Storm starter.

In the next chapter, we will initiate the users on various input data sources that are used in conjunction with Storm. We will discuss the reliability of Storm and how to persist data into some stable storage from Storm bolts.

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