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Instant MapReduce Patterns - Hadoop Essentials How-to
by
Perera, Srinath
in
Apache Hadoop
/ Big data and Business intelligence
/ Cluster analysis
/ Data processing
/ Distributed processing
/ Electronic data processing
/ Software patterns
2013
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Do you wish to request the book?
Instant MapReduce Patterns - Hadoop Essentials How-to
by
Perera, Srinath
in
Apache Hadoop
/ Big data and Business intelligence
/ Cluster analysis
/ Data processing
/ Distributed processing
/ Electronic data processing
/ Software patterns
2013
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eBook
Instant MapReduce Patterns - Hadoop Essentials How-to
2013
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Overview
MapReduce is a technology that enables users to process large datasets and Hadoop is an implementation of MapReduce. We are beginning to see more and more data becoming available, and this hides many insights that might hold key to success or failure. However, MapReduce has the ability to analyze this data and write code to process it. Instant MapReduce Patterns – Hadoop Essentials How-to is a concise introduction to Hadoop and programming with MapReduce. It is aimed to get you started and give you an overall feel for programming with Hadoop so that you will have a well-grounded foundation to understand and solve all of your MapReduce problems as needed. Instant MapReduce Patterns – Hadoop Essentials How-to will start with the configuration of Hadoop before moving on to writing simple examples and discussing MapReduce programming patterns. We will start simply by installing Hadoop and writing a word count program. After which, we will deal with the seven styles of MapReduce programs: analytics, set operations, cross correlation, search, graph, Joins, and clustering. For each case, you will learn the pattern and create a representative example program. The book also provides you with additional pointers to further enhance your Hadoop skills.
Publisher
PACKT Publishing,Packt Publishing, Limited
Subject
ISBN
9781782167709, 1782167714, 9781782167716, 1782167706
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