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Apache Hadoop 3 Quick Start Guide

You're reading from   Apache Hadoop 3 Quick Start Guide Learn about big data processing and analytics

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788999830
Length 220 pages
Edition 1st Edition
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Table of Contents (10) Chapters Close

Preface 1. Hadoop 3.0 - Background and Introduction 2. Planning and Setting Up Hadoop Clusters FREE CHAPTER 3. Deep Dive into the Hadoop Distributed File System 4. Developing MapReduce Applications 5. Building Rich YARN Applications 6. Monitoring and Administration of a Hadoop Cluster 7. Demystifying Hadoop Ecosystem Components 8. Advanced Topics in Apache Hadoop 9. Other Books You May Enjoy

Demystifying Hadoop Ecosystem Components

We have gone through the Apache Hadoop subsystem in detail in previous chapters. Although Hadoop is extensively known for its core components such as HDFS, MapReduce and YARN, it also offers a whole ecosystem that is supported by various components to ensure all your business needs are addressed end-to-end. One key reason behind this evolution is because Hadoop's core components offer processing and storage in a raw form, which requires an extensive amount of investment when building software from a grass-roots level.

The ecosystem components on top of Hadoop can therefore provide the rapid development of applications, ensuring better fault-tolerance, security, and performance over custom development done on Hadoop.

In this chapter, we cover the following topics:

  • Understanding Hadoop's Ecosystem
  • Working with Apache Kafka
  • Writing...
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