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Hadoop Essentials

You're reading from   Hadoop Essentials Delve into the key concepts of Hadoop and get a thorough understanding of the Hadoop ecosystem

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784396688
Length 194 pages
Edition 1st Edition
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Author (1):
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Shiva Achari Shiva Achari
Author Profile Icon Shiva Achari
Shiva Achari
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Table of Contents (9) Chapters Close

Preface 1. Introduction to Big Data and Hadoop FREE CHAPTER 2. Hadoop Ecosystem 3. Pillars of Hadoop – HDFS, MapReduce, and YARN 4. Data Access Components – Hive and Pig 5. Storage Component – HBase 6. Data Ingestion in Hadoop – Sqoop and Flume 7. Streaming and Real-time Analysis – Storm and Spark Index

Streaming and real-time analysis

Storm and Spark are the two new fascinating components that can run on YARN and have some amazing capabilities in terms of processing streaming and real-time analysis. Both of these are used in scenarios where we have heavy continuous streaming data and have to be processed in, or near, real-time cases. The example which we discussed earlier for traffic analyzer is a good example for use cases of Storm and Spark.

We will cover the concept of Storm and Spark in greater detail in Chapter 7, Streaming and Real-time Analysis—Storm and Spark.

You have been reading a chapter from
Hadoop Essentials
Published in: Apr 2015
Publisher: Packt
ISBN-13: 9781784396688
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