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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

YARN

YARN is Yet Another Resource Negotiator, the next generation compute and cluster management technology. YARN provides a platform to build/run multiple distributed applications in Hadoop. YARN was released in the Hadoop 2.0 version in 2012, marking a major change in Hadoop architecture. YARN took around 5 years to develop in an open community.

We discussed JobTracker being a single point of failure for MapReduce, and considering Hadoop is designed to run even in commodity servers, there is a good probability that the JobTracker can fail. JobTracker has two important functions: resource management, and job scheduling and monitoring.

YARN delegates and splits up the responsibility into separate daemons and achieves better performance and fault tolerance. Because of YARN, Hadoop, which could work only as a batch process, can now be designed to process interactive and real-time processing systems. This is a huge advantage as many systems, machines, sensors, and other sources generate huge...

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