LEADER 00000cam a2200637 a 4500 
001    870275289 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr unu|||||||| 
008    140210s2014    caua    o     001 0 eng d 
019    968071670|a969048298 
020    1449363628 
020    9781449363628 
020    9781449364045 
020    1449364047 
029 1  DEBBG|bBV041783842 
029 1  DEBSZ|b404335535 
029 1  GBVCP|b882725556 
035    (OCoLC)870275289|z(OCoLC)968071670|z(OCoLC)969048298 
037    CL0500000380|bSafari Books Online 
040    UMI|beng|epn|cUMI|dCOO|dDEBBG|dCUS|dDEBSZ|dOCLCQ|dOCLCF
       |dOCLCQ|dFEM|dOCLCQ|dCEF|dUAB|dAU@|dOCLCO|dOCLCQ|dOCLCO
       |dOCLCL 
049    INap 
082 04 004 
082 04 004|qOCoLC 
099    eBook O'Reilly for Public Libraries 
100 1  Schmidt, Kevin J.|q(Kevin James)|1https://id.oclc.org/
       worldcat/entity/E39PCjvrdTp6htf3Vwj93rvY6C 
245 10 Programming Elastic MapReduce /|cKevin Schmidt and 
       Christopher Phillips.|h[O'Reilly electronic resource] 
246 1  |iSubtitle on cover:|aUsing AWS services to build an end-
       to-end application 
260    Sebastopol, CA :|bO'Reilly Media,|c©2014. 
300    1 online resource (1 volume) :|billustrations 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
520    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. 
588 0  Online resource; title from title page (Safari, viewed 
       January 30, 2014). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
630 00 Apache Hadoop. 
630 07 Apache Hadoop.|2blmlsh 
630 07 Apache Hadoop|2fast 
650  0 Electronic data processing|xDistributed processing. 
650  0 Big data. 
650  0 Web services. 
650  0 Internet programming. 
650  6 Traitement réparti. 
650  6 Données volumineuses. 
650  6 Services Web. 
650  6 Programmation Internet. 
650  7 Big data|2fast 
650  7 Electronic data processing|xDistributed processing|2fast 
650  7 Internet programming|2fast 
650  7 Web services|2fast 
700 1  Phillips, Chris,|d1971-|1https://id.oclc.org/worldcat/
       entity/E39PCjvBd6Hr8DJk3JcpHfKJ9P 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781449364038/?ar
       |zAvailable on O'Reilly for Public Libraries 
994    92|bJFN