Hadoop 2.x Administration Cookbook

More Information
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

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.

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
Page Count 348
Course Length 10 hours 26 minutes
ISBN 9781787126732
Date Of Publication 25 May 2017

Authors

Gurmukh Singh

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