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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

Chapter 2. Hadoop Ecosystem

Now that we have discussed and understood big data and Hadoop, we can move on to understanding the Hadoop ecosystem. A Hadoop cluster may have hundreds or thousands of nodes which are difficult to design, configure, and manage manually. Due to this, there arises a need for tools and utilities to manage systems and data easily and effectively. Along with Hadoop, we have separate sub-projects which are contributed by some organizations and contributors, and are managed mostly by Apache. The sub-projects integrate very well with Hadoop and can help us concentrate more on design and development rather than maintenance and monitoring, and can also help in the development and data management.

Before we understand different tools and technologies, let's understand a use case and how it differs from traditional systems.

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