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Hadoop MapReduce Cookbook
In Detail
We are facing an avalanche of data. The unstructured data we gather can contain many insights that might hold the key to business success or failure. Harnessing the ability to analyze and process this data with Hadoop MapReduce is one of the most highly sought after skills in today's job market.
"Hadoop MapReduce Cookbook" is a one-stop guide to processing large and complex data sets using the Hadoop ecosystem. The book introduces you to simple examples and then dives deep to solve in-depth big data use cases.
"Hadoop MapReduce Cookbook" presents more than 50 ready-to-use Hadoop MapReduce recipes in a simple and straightforward manner, with step-by-step instructions and real world examples.
Start with how to install, then configure, extend, and administer Hadoop. Then write simple examples, learn MapReduce patterns, harness the Hadoop landscape, and finally jump to the cloud.
The book deals with many exciting topics such as setting up Hadoop security, using MapReduce to solve analytics, classifications, on-line marketing, recommendations, and searching use cases. You will learn how to harness components from the Hadoop ecosystem including HBase, Hadoop, Pig, and Mahout, then learn how to set up cloud environments to perform Hadoop MapReduce computations.
"Hadoop MapReduce Cookbook" teaches you how process large and complex data sets using real examples providing a comprehensive guide to get things done using Hadoop MapReduce.
Approach
Individual self-contained code recipes. Solve specific problems using individual recipes, or work through the book to develop your capabilities.
Who this book is for
If you are a big data enthusiast and striving to use Hadoop to solve your problems, this book is for you. Aimed at Java programmers with some knowledge of Hadoop MapReduce, this is also a comprehensive reference for developers and system admins who want to get up to speed using Hadoop.
We are facing an avalanche of data. The unstructured data we gather can contain many insights that might hold the key to business success or failure. Harnessing the ability to analyze and process this data with Hadoop MapReduce is one of the most highly sought after skills in today's job market.
"Hadoop MapReduce Cookbook" is a one-stop guide to processing large and complex data sets using the Hadoop ecosystem. The book introduces you to simple examples and then dives deep to solve in-depth big data use cases.
"Hadoop MapReduce Cookbook" presents more than 50 ready-to-use Hadoop MapReduce recipes in a simple and straightforward manner, with step-by-step instructions and real world examples.
Start with how to install, then configure, extend, and administer Hadoop. Then write simple examples, learn MapReduce patterns, harness the Hadoop landscape, and finally jump to the cloud.
The book deals with many exciting topics such as setting up Hadoop security, using MapReduce to solve analytics, classifications, on-line marketing, recommendations, and searching use cases. You will learn how to harness components from the Hadoop ecosystem including HBase, Hadoop, Pig, and Mahout, then learn how to set up cloud environments to perform Hadoop MapReduce computations.
"Hadoop MapReduce Cookbook" teaches you how process large and complex data sets using real examples providing a comprehensive guide to get things done using Hadoop MapReduce.
Approach
Individual self-contained code recipes. Solve specific problems using individual recipes, or work through the book to develop your capabilities.
Who this book is for
If you are a big data enthusiast and striving to use Hadoop to solve your problems, this book is for you. Aimed at Java programmers with some knowledge of Hadoop MapReduce, this is also a comprehensive reference for developers and system admins who want to get up to speed using Hadoop.
302 pages, Kindle Edition
First published January 25, 2013
34 people want to read
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Displaying 1 - 2 of 2 reviews
January 24, 2014
Hadoop MapReduce Cookbook is a good reference if you already have a decent understanding of Hadoop. It is helpful when you ask "how do I do that again?" or "what is the exact procedure for doing that?". The book does a decent job of explaining how to setup a cluster and basic cluster management, but it doesn't really explain the logic that is going on. While it is easy to understand what the author is doing, if you are new to Hadoop, you will likely get lost and have to reread some sections. This becomes more of an issue with more complex topics.
One of the strengths of the book is how it is broken down into recipes. Most programmers are able to read the code examples and understand what is going on without pages of explanation, and if that is you, the book will probably be very good. However, if you like lots of logical detail before you fully understand a new topic, you will probably find this book a bit lacking. The recipes are grouped logically and do follow a natural progression.
Overall a pretty good reference, but needs more details and explaination to be a good teaching book.
One of the strengths of the book is how it is broken down into recipes. Most programmers are able to read the code examples and understand what is going on without pages of explanation, and if that is you, the book will probably be very good. However, if you like lots of logical detail before you fully understand a new topic, you will probably find this book a bit lacking. The recipes are grouped logically and do follow a natural progression.
Overall a pretty good reference, but needs more details and explaination to be a good teaching book.
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March 13, 2015Location: ND6 IRC
Accession no: DL026843
Accession no: DL026843
Displaying 1 - 2 of 2 reviews