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Hadoop Operations Paperback – 19 Oct 2012

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Product details

  • Paperback: 298 pages
  • Publisher: O'Reilly Media; 1 edition (19 Oct. 2012)
  • Language: English
  • ISBN-10: 1449327052
  • ISBN-13: 978-1449327057
  • Product Dimensions: 17.8 x 2 x 23.3 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 487,090 in Books (See Top 100 in Books)
  • See Complete Table of Contents

Product Description

Book Description

A Guide for Developers and Administrators

About the Author

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.


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Amazon.com: 4.6 out of 5 stars 19 reviews
14 of 16 people found the following review helpful
5.0 out of 5 stars A well written, and thorough treatment of Hadoop. Admins as well as Developers will benefit from reading this. 26 Nov. 2012
By nyceyes - Published on Amazon.com
Format: Paperback Verified Purchase
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
5.0 out of 5 stars Excellent guide for Hadoop in production 30 Oct. 2012
By Edmon Begoli - Published on Amazon.com
Format: Paperback
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)
3 of 3 people found the following review helpful
4.0 out of 5 stars good collection of data and techniques on ops but will soon be old 26 Nov. 2013
By I'm aReviewer - Published on Amazon.com
Format: Kindle Edition Verified Purchase
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.
2 of 2 people found the following review helpful
5.0 out of 5 stars A must read for a system engineer 11 Feb. 2014
By Daniel Gligorov - Published on Amazon.com
Format: Paperback
Very good book, easy read.
Mainly its for Admins, not much stuff for developers.
Great high level overview if you are tasked to deploy production cluster (requirements, deployment,tuning,monitoring,backup..)

Even if you don't need to deploy Hadoop cluster its great read from a system engineer perspective, talks about hight availability concepts, network bandwidth, memory limitations... Very good explained, first tells what are the limitations then how to outcome them. Also explains what were limitations in earlier hadoop versions and how they were resolved in Hadoop 2 (high availability, feferation)

I would not say this book is suitable for developers, unleast they want to learn some of the admin tasks. Just high overview of MapReduce is explained, but nothing from programing perspective. No other projects explained that are often used with Hadoop like, Hive, Hbase, Pig...
2 of 2 people found the following review helpful
5.0 out of 5 stars No nonsense guide to standing up and supporting Hadoop 2 Oct. 2013
By Logan - Published on Amazon.com
Format: Paperback Verified Purchase
Before you can do anything useful with Hadoop you have to set it up and tune it. Not a simple task. This book will help get you to step one and beyond. You can read it cover to cover and it also makes for a decent reference on many important topics. I've been immersed in Hadoop for nearly three years and still found lots of new information as well as solid reinforcements of prior knowledge. Chapter 4, "Planning a Hadoop Cluster" is full of good information for those from the old school who are not used to the idea of Hadoop being designed from the ground up to run on commodity hardware. Don't argue with them, just make them read that chapter. The author says it best when he states "Exotic deployments of Hadoop usually end in exotic results, and not in a good way." A must have for any Hadoop administrator.
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