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Programming Elastic MapReduce

Using AWS Services to Build an End-to-End Application

Language EnglishEnglish
E-book Adobe ePub DRM
Publishers O'Reilly Media, December 2013
Although you dont need a large computing infrastructure to process massive amounts of data with Apac... Full description
? points 69 b
28.39 VAT included
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Although you dont need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web Services (AWS).Authors Kevin Schmidt and Christopher Phillips demonstrate best practices for using EMR and various AWS and Apache technologies by walking you through the construction of a sample MapReduce log analysis application. Using code samples and example configurations, youll learn how to assemble the building blocks necessary to solve your biggest data analysis problems.Get an overview of the AWS and Apache software tools used in large-scale data analysisGo through the process of executing a Job Flow with a simple log analyzerDiscover useful MapReduce patterns for filtering and analyzing data setsUse Apache Hive and Pig instead of Java to build a MapReduce Job FlowLearn the basics for using Amazon EMR to run machine learning algorithmsDevelop a project cost model for using Amazon EMR and other AWS tools

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About the book

Full name Programming Elastic MapReduce
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2013
Number of pages 174
EAN 9781449364045
Libristo code 40210363
Publishers O'Reilly Media
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