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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

Key features of HDFS

In this section, we will go over some of the marquee features of HDFS that offer advantages for Hadoop users. We have already covered some of the features of HDFS in Chapter 1, Hadoop 3.0 - Background and Introduction, such as erasure coding and high availability, so we will not be covering them switch.

Achieving multi tenancy in HDFS

HDFS supports multi tenancy through its Linux-like Access Control Lists (ACLs) on its filesystem. The filesystem-specific commands are covered in the next section. When you are working across multiple tenants, it boils down to controlling access for different users through the HDFS command-line interface. So, the HDFS Administrator can add tenant spaces to HDFS through its...

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