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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 FREE CHAPTER 2. Planning and Setting Up Hadoop Clusters 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

Planning and Setting Up Hadoop Clusters

In the last chapter, we looked at big data problems, the history of Hadoop, along with an overview of big data, Hadoop architecture, and commercial offerings. This chapter will focus on hands-on, practical knowledge of how to set up Hadoop in different configurations. Apache Hadoop can be set up in the following three different configurations:

  • Developer mode: Developer mode can be used to run programs in a standalone manner. This arrangement does not require any Hadoop process daemons, and jars can run directly. This mode is useful if developers wish to debug their code on MapReduce.
  • Pseudo cluster (single node Hadoop): A pseudo cluster is a single node cluster that has similar capabilities to that of a standard cluster; it is also used for the development and testing of programs before they are deployed on a production cluster. Pseudo...
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