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Hadoop Operations, by Eric Sammer
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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
- 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
- Sales Rank: #188928 in Books
- Brand: Brand: O'Reilly Media
- Published on: 2012-10-19
- Released on: 2012-10-19
- Original language: English
- Number of items: 1
- Dimensions: 9.19" h x .80" w x 7.00" l, 1.03 pounds
- Binding: Paperback
- 298 pages
- Used Book in Good Condition
About the Author
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 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.
Most helpful customer reviews
14 of 16 people found the following review helpful.
A well written, and thorough treatment of Hadoop. Admins as well as Developers will benefit from reading this.
By nyceyes
I recently received this book and, having experience with Hadoop, ripped through it cover-to-cover -- that is, you can
take 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 suitable
node to run it's tasks on, or what the cost and performance advantages are of adopting the shared-nothing, commodity
model recommended for Hadoop clusters, etc., etc., etc., this book provides the how, what, when, where and why of
Hadoop (the missing manual, of sorts).
Cluster Administrators as well as Map/Reduce programmers benefit from it's through, no-shortcuts-taken, breakdown of
the Hadoop platform. I highly recommend it.
7 of 8 people found the following review helpful.
Excellent guide for Hadoop in production
By Edmon Begoli
My "big data" (getting tired of a buzzword a little bit ...) project is now moving into a production phase where our customer will be deploying a Hadoop and other related technologies into their production data center.
This book could not have come into better time as production team is look to both contract the support team and to have a manual for Hadoop operations.
There are two things that I like about this book:
1. It covers all of the topics that matter. It covers most important aspects of the Hadoop platform and its architecture but from the operational perspective - HDFS architecture and cluster configuration, MapReduce and YARN execution models, cluster setup and most importantly a very detailes review of options and recommendations related to operating system, network and storage setup.
2. There are dedicated chapters to cluster maintenance, backups, monitoring and, very importantly, troubleshooting that go into very solid level of details on many of the problems or intricacies that one should better know about Hadoop in an operational setting.
These chapters are obviously written by someone who ran Hadoop many times before and in a large, production setting.
War stories and "mystery bottleneck" sections are great.
In summary, right book in a right time, although I feel we should have had similar book maybe a year ago. I am guessing that Cloudera wanted to get their solid cut first at consulting and support fees before making such material available ;-) (author Eric Sammer is Cloudera's solutions architect)
4 of 4 people found the following review helpful.
good collection of data and techniques on ops but will soon be old
By I'm aReviewer
As a developer looking to support devops it was a great read. Obviously with any book on hadoop time is not kind and while this book cover hadoop 2.0 AND mentions future work it predates hadoop 2.2 so some information or needs will not be met.
That said, still tons of good information here on how hadoop works and on topics like security and monitoring.
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