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Hadoop Explained, by Aravind Shenoy
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With the almost unfathomable increase in web traffic over recent years, driven by millions of connected users, businesses are gaining access to massive amounts of complex, unstructured data from which to gain insight.
When Hadoop was introduced by Yahoo in 2007, it brought with it a paradigm shift in how this data was stored and analysed. Hadoop allowed small and medium sized companies to store huge amounts of data on cheap commodity servers in racks. The introduction of Big Data has allowed businesses to make decisions based on quantifiable analysis.
Hadoop is now implemented in major organizations such as Amazon, IBM, Cloudera, and Dell to name a few. This book introduces you to Hadoop and to concepts such as ‘MapReduce’, ‘Rack Awareness’, ‘Yarn’ and ‘HDFS Federation’, which will help you get acquainted with the technology.
- Published on: 2014-06-16
- Released on: 2014-06-16
- Format: Kindle eBook
Most helpful customer reviews
8 of 8 people found the following review helpful.
Quick, Hadoop for Dummies, almost
By Epilady
This is definitely not an in-depth explanation of Hadoop, but would be good for a beginner trying to understand the concepts of how Hadoop can be used for big data. It's definitely a different approach from the standard database format.
5 of 5 people found the following review helpful.
Quick read on Hadoop
By claire barnell
This is a very short book. Provides a quick read on Hadoop. Very informative.
For more detail find other book.
3 of 3 people found the following review helpful.
Well written, 30,000 foot view of Hadoop, but not for the experienced sysadmin.
By Stephen R. Scaffidi
Got the kindle edition for free. I certainly can't complain about the price ☺
It's not bad for what it is - a high-level overview of Hadoop. If you're management in a company thinking about Hadoop, this might be a useful read. But it is now somewhat dated, since Hadoop 2.x and YARN have become the de-facto "standard" for about a year now and that architecture is significantly different from before.
If you're an experienced Hadoop admin, this is probably not worth your time.
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