Programming Elastic MapReduce

Name: Programming Elastic MapReduce
Brand: O'Reilly Media
SKU: 9781449363628
Price: 193.19 RON
Availability: InStock

Autor: Christopher Phillips, Kevin Schmidt

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Editura: O'Reilly Media

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Although you don't need a large computing infrastructure to process massive amounts of data with Apa...

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Autor

Christopher Phillips, Kevin Schmidt

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2013

Pagini

200

EAN

9781449363628

ISBN

1449363628

Enbook ID

04802510

Editura

O'Reilly Media

Greutate

306

Dimensiuni

233 x 178 x 14

Descriere completă

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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