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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

Storm on YARN


Storm integration on YARN was done in Yahoo and released as an open source. Storm can be integrated with YARN to provide batch and real-time analysis on the same cluster as Lambda architecture. Storm on YARN couples Storm's event-processing framework with Hadoop to provide low latency processing. Storm resources can be managed by YARN to provide all the benefits of stream processing by Storm on Hadoop. Storm on YARN provides high availability, optimization, and elasticity in resource utilization.

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