AZW3

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Key Features

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

Book 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.

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

About the Author

Gurmukh Singh is a seasoned technology professional with 14+ years of industry experience in infrastructure design, distributed systems, performance optimization, and networks. He has worked in big data domain for the last 5 years and provides consultancy and training on various technologies.

He has worked with companies such as HP, JP Morgan, and Yahoo.

He has authored Monitoring Hadoop by Packt Publishing

Table of Contents

Hadoop Architecture and Deployment

Maintain Hadoop Cluster - HDFS

Maintain Hadoop Cluster -YARN and MapReduce

High Availability

Schedulers

Backup and Recovery

Data Ingestion and Workflow

Performance Tuning

Hbase and RDBMS

Cluster Planning

Troubleshooting, Diagnostics and Best practises

Security