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Hadoop 2.x Administration Cookbook
Hadoop 2.x Administration Cookbook

Hadoop 2.x Administration Cookbook: Administer and maintain large Apache Hadoop clusters

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Hadoop 2.x Administration Cookbook

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Key benefits

  • Become an expert Hadoop administrator and perform tasks to optimize your Hadoop Cluster
  • Import and export data into Hive and use Oozie to manage workflow.
  • Practical recipes will help you plan and secure your Hadoop cluster, and make it highly available

Description

Hadoop enables the distributed storage and processing of large datasets across clusters of computers. Learning how to administer Hadoop is crucial to exploit its unique features. With this book, you will be able to overcome common problems encountered in Hadoop administration. The book begins with laying the foundation by showing you the steps needed to set up a Hadoop cluster and its various nodes. You will get a better understanding of how to maintain Hadoop cluster, especially on the HDFS layer and using YARN and MapReduce. Further on, you will explore durability and high availability of a Hadoop cluster. You’ll get a better understanding of the schedulers in Hadoop and how to configure and use them for your tasks. You will also get hands-on experience with the backup and recovery options and the performance tuning aspects of Hadoop. Finally, you will get a better understanding of troubleshooting, diagnostics, and best practices in Hadoop administration. By the end of this book, you will have a proper understanding of working with Hadoop clusters and will also be able to secure, encrypt it, and configure auditing for your Hadoop clusters.

Who is this book for?

If you are a system administrator with a basic understanding of Hadoop and you want to get into Hadoop administration, this book is for you. It’s also ideal if you are a Hadoop administrator who wants a quick reference guide to all the Hadoop administration-related tasks and solutions to commonly occurring problems

What you will learn

  • • Set up the Hadoop architecture to run a Hadoop cluster smoothly
  • • Maintain a Hadoop cluster on HDFS, YARN, and MapReduce
  • • Understand high availability with Zookeeper and Journal Node
  • • Configure Flume for data ingestion and Oozie to run various workflows
  • • Tune the Hadoop cluster for optimal performance
  • • Schedule jobs on a Hadoop cluster using the Fair and Capacity scheduler
  • • Secure your cluster and troubleshoot it for various common pain points

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : May 26, 2017
Length: 348 pages
Edition : 1st
Language : English
ISBN-13 : 9781787126879
Vendor :
Apache
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What do you get with eBook?

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Product Details

Publication date : May 26, 2017
Length: 348 pages
Edition : 1st
Language : English
ISBN-13 : 9781787126879
Vendor :
Apache
Tools :

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Table of Contents

13 Chapters
1. Hadoop Architecture and Deployment Chevron down icon Chevron up icon
2. Maintaining Hadoop Cluster HDFS Chevron down icon Chevron up icon
3. Maintaining Hadoop Cluster – YARN and MapReduce Chevron down icon Chevron up icon
4. High Availability Chevron down icon Chevron up icon
5. Schedulers Chevron down icon Chevron up icon
6. Backup and Recovery Chevron down icon Chevron up icon
7. Data Ingestion and Workflow Chevron down icon Chevron up icon
8. Performance Tuning Chevron down icon Chevron up icon
9. HBase Administration Chevron down icon Chevron up icon
10. Cluster Planning Chevron down icon Chevron up icon
11. Troubleshooting, Diagnostics, and Best Practices Chevron down icon Chevron up icon
12. Security Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.5
(2 Ratings)
5 star 50%
4 star 0%
3 star 0%
2 star 50%
1 star 0%
Jayesh Jun 02, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Writer has fair knowledge on subject.
Amazon Verified review Amazon
Zvonko Pino Varela Apr 29, 2018
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
It looks out of date. I followed the instructions step by step but I found a lot of mistakes, and many instructions didn't work. It's far better to install Apache Ambari and follow those directions.
Amazon Verified review Amazon
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