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.
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
Chapter 1. Hadoop Architecture And Deployment
Chapter 2. Maintain Hadoop Cluster – Hdfs
Chapter 3. Maintain Hadoop Cluster -Yarn And Mapreduce
Chapter 4. High Availability
Chapter 5. Schedulers
Chapter 6. Backup And Recovery
Chapter 7. Data Ingestion And Workflow
Chapter 8. Performance Tuning
Chapter 9. Hbase And Rdbms
Chapter 10. Cluster Planning
Chapter 11. Troubleshooting, Diagnostics And Best Practises
Chapter 12. Security
