Programming Elastic MapReduce

Name: Programming Elastic MapReduce
Brand: O'Reilly Media
SKU: 9781449363628
Price: 810 CZK
Availability: InStock

Autor: Christopher Phillips, Kevin Schmidt

Jazyk:

Vazba: Brožovaná

Vydavatel: O'Reilly Media

Dostupnost: Skladem u dodavatele

Odesíláme za 9-15 dnů

810 Kč

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

Informace o knize

Autor

Christopher Phillips, Kevin Schmidt

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2013

Stránek

200

EAN

9781449363628

ISBN

1449363628

Enbook ID

04802510

Vydavatel

O'Reilly Media

Hmotnost

306

Rozměry

233 x 178 x 14

Kompletní popis

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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