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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

Securing Hadoop clusters

Since Apache Hadoop works with lots of information, it brings in the important aspect of data governance and security of information. Usually, the cluster is not visible directly and is used primarily for computation and historical data storage, hence the urge for security implementation is relatively less than with applications that are running over the web, which demand the highest level of security requirements to be addressed. However, should there be any need, Hadoop deployments can be extremely secure. The security in hadoop works in the following key areas:

  • Data at Rest: How data stored can be encrypted so that no one can read it
  • Data in Motion: How the data transferred over the wire can be encrypted
  • Secured System access/APIs
  • Data Confidentiality: to control data access across different users

The good part is, Apache Hadoop ecosystem components...

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