Hadoop Operations

If youve been asked to maintain large and complex Hadoop clusters, this book is a must. Demand for operations-specific material has skyrocketed now that Hadoop is becoming the de facto standard for truly large-scale data processing in the data center. Eric Sammer, Principal Solution Architect at Cloudera, shows you the particulars of running Hadoop in production, from planning, installing, and configuring the system to providing ongoing maintenance.

Rather than run through all possible scenarios, this pragmatic operations guide calls out what works, as demonstrated in critical deployments.

• Get a high-level overview of HDFS and MapReduce: why they exist and how they work
• Plan a Hadoop deployment, from hardware and OS selection to network requirements
• Learn setup and configuration details with a list of critical properties
• Manage resources by sharing a cluster across multiple groups
• Get a runbook of the most common cluster maintenance tasks
• Monitor Hadoop clusters—and learn troubleshooting with the help of real-world war stories
• Use basic tools and techniques to handle backup and catastrophic failure

If youve been tasked with the job of maintaining large and complex Hadoop clusters, or are about to be, this book is a must. Youll learn the particulars of Hadoop operations, from planning, installing, and configuring the system to providing ongoing maintenance.

Hadoop is being adopted by more and more Fortune 500 companies, and the demand for operations-specific material has skyrocketed. This book—written by Eric Sammer, Principal Solution Architect at Cloudera—is the definitive operations guide for administrators.

Developers who want to improve MapReduce jobs by learning how Hadoop works in large production environments will also benefit. Application administrators responsible for the health and operation of large distributed applications or systems will find this guide extremely useful.

Eric Sammer is currently a Principal Solution Architect at Cloudera where he helps customers plan, deploy, develop for, and use Hadoop and the related projects at scale. His background is in the development and operations of distributed, highly concurrent, data ingest and processing systems. He's been involved in the open source community and has contributed to a large number of projects over the last decade.