Hadoop Operations
| Author | : | |
| Rating | : | 4.12 (800 Votes) |
| Asin | : | 1449327052 |
| Format Type | : | paperback |
| Number of Pages | : | 298 Pages |
| Publish Date | : | 2014-11-23 |
| Language | : | English |
DESCRIPTION:
I am specifically interested in Chapter 10, Monitoring. John Ma I am specifically interested in Chapter 10, Monitoring. The book provides what to monitor, but, it does not provide the details on how to check.. Five Stars Jay Maheshkar Great. nyceyes said A well written, and thorough treatment of Hadoop. Admins as well as Developers will benefit from reading this.. I recently received this book and, having experience with Hadoop, ripped through it cover-to-cover -- that is, you cantake this review as indicative of the entire book.Whether the topic is HDFS and how data is ingested and replicated, or how Map/Reduce "finds" the most suitablenode to run it's tasks on, or what the cost and performance advantages are of adopting the shared-nothing, commoditymodel recommended for Hadoop clusters, etc.,
He's been involved in the open source community and has contributed to a large number of projects over the last decade.. Eric Sammer is an Engineering Manager and technical lead at Cloudera where he works on various projects in the Hadoop ecosystem. His background is in the development and operations of distributed, highly concurrent, data ingest
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.. About the AuthorEric Sammer is an Engineering Manager and technical lead at Cloudera where he works on various projects in the Hadoop ecosystem
If you've 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