Programming Elastic Mapreduce : Using AWS Services to Build an End-To-End Application

Kevin Schmidt

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Language: English

Published by O'reilly Media Jan 2014, 2014

1449363628 / 9781449363628

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Neuware - Although you don't 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, you'll 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 analysis- Go through the process of executing a Job Flow with a simple log analyzer- Discover useful MapReduce patterns for filtering and analyzing data sets- Use Apache Hive and Pig instead of Java to build a MapReduce Job Flow- Learn the basics for using Amazon EMR to run machine learning algorithms- Develop a project cost model for using Amazon EMR and other AWS tools.

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Title
Programming Elastic Mapreduce : Using AWS Services to Build an End-To-End Application
Author
Kevin Schmidt
Publisher
O'reilly Media Jan 2014
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1449363628
ISBN 13
9781449363628
Item weight
305 grams
Dimensions
233x177x12 mm

AHA-BUCH GmbH

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