Hadoop Operations Author: Eric Sammer | Language: English | ISBN:
B009J3I62I | Format: PDF
Hadoop Operations Description
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
- File Size: 1530 KB
- Print Length: 298 pages
- Simultaneous Device Usage: Unlimited
- Publisher: O'Reilly Media; 1 edition (September 28, 2012)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B009J3I62I
- Text-to-Speech: Enabled
X-Ray:
- Lending: Not Enabled
- Amazon Best Sellers Rank: #171,881 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #53
in Books > Computers & Technology > Hardware > Parallel Processing Computers - #81
in Kindle Store > Kindle eBooks > Computers & Technology > Programming > Java
- #53
in Books > Computers & Technology > Hardware > Parallel Processing Computers - #81
in Kindle Store > Kindle eBooks > Computers & Technology > Programming > Java
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.
By nyceyes
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)
By Edmon Begoli
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