OREILLY_ANALYZING_BIG_DATA_WITH_HADOOP_AWS_AND_EMR_TUTORIAL-OXBRiDGE

Section
Appz
Group
OXBRiDGE
Size
372,92 MB
Files
10
Date
2017-05-18

NFO

                                           
░ ░▒▒▒▓▓█████▌░░ University of OXford & University of camBRiDGE ░░▐████▓▓▒▒▒░ ░
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  ...is a collective term for characteristics that the two institutions share.


     ·-- PUBLISHER -----·> Infinite Skills                                    
     ·-- LECTURESHIP ---·> Analyzing Big Data with Hadoop, AWS, and EMR       
                                                                              
                                                                              

     ·-- LECTURE DATE --·> 05-2017           
                           03-2017 {Published}
    
     ·-- PERIOD in HRS--·> 01+                                 
     ·-- SCALE ---------·> 08x50mb                                           

     ·-- LECTURE LINK --·> https://goo.gl/l3062z                     
                                                                                              
 
     
     Hadoop is today's most pervasive technology used in Big Data for        
     distributing the processing of massive data sets across clusters of     
     commodity computers. With Amazon's Elastic MapReduce service (EMR), you 
     can rent capacity through Amazon Web Services (AWS) to store and analyze
     data at minimal cost on top of a real Hadoop cluster.                   
                                                                             
     This course shows you how to use an EMR Hadoop cluster via a real life  
     example where you'll analyze movie ratings data using Hive, Pig, and    
     Oozie. It focuses on practical tips for using an EMR cluster            
     efficiently, integrating the cluster with Amazon's S3 service, and      
     determining the right money-saving size for a cluster. You'll learn how 
     to interact with your cluster through the Hue Web interface, from a     
     terminal prompt, as well as through EMR steps that can execute your     
     scripts automatically.                                                  
     

Files

PathSize
ox_oabdwhaaet.r0047,68 MB
ox_oabdwhaaet.r0147,68 MB
ox_oabdwhaaet.r0247,68 MB
ox_oabdwhaaet.r0347,68 MB
ox_oabdwhaaet.r0447,68 MB
ox_oabdwhaaet.r0547,68 MB
ox_oabdwhaaet.r0639,13 MB
ox_oabdwhaaet.rar47,68 MB
ox_oabdwhaaet.sfv224 B
oxbridge.nfo2,52 KB