PACKT_PUBLISHING_REAL_TIME_STREAMING_USING_APACHE_SPARK_STREAMING_TUTORIAL-OXBRiDGE

Section
Appz
Group
OXBRiDGE
Size
231,19 MB
Files
7
Date
2017-07-23

NFO


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


     █ Real Time Streaming using Apache Spark Streaming                   
     █                                                          
     ▄
     █ by Tomasz Lelek                                                   
     █ Publisher: Packt Publishing                                       
     ▓ Release Date: June 2017                                           
     ▓ ISBN: 9781788391528                                                
     ▒ Running time: 00:59:39                                             
     ▒ Topic: Engineering                                                  
     ░ Scale: 05x50mb     
     ░ Downloads: (■) Included ( ) Without
     ░                                                      
     ░ Lecture Date: 07/2017          
     ░ Lecture Link: https://goo.gl/P64c8y                
     ░
     :
     | Analyze data in real-time using the Apache Spark Streaming API     
     |                                                                    
     | About This Video                                                   
     |                                                                    
     | Understand the concepts and problems behind streaming processing.  
     | Get to know the Apache Spark Streaming API and create jobs that    
     | analyze data in near real time.                                    
     | Analyze traffic in real time using Spark Streaming on a web page   
     | while users are browsing it.                                       
     | In Detail                                                          
     |                                                                    
     | Spark is the technology that allows us to perform big data         
     | processing in the MapReduce paradigm very rapidly, due to          
     | performing the processing in memory without the need for extensive 
     | I/O operations.                                                    
     |                                                                    
     | Recently, the streaming approach to processing events in near real 
     | time became more widely adopted and more necessary. In this        
     | course, you will learn how to handle big amount of unbounded       
     | infinite streams of data. You will analyze data and draw           
     | conclusions from it. Furthermore, we will look at common problems  
     | when processing event streams: sorting, watermarks, deduplication, 
     | and keeping state (for example, user sessions). You will also      
     | implement streaming processing using Spark Streaming and analyze   
     | traffic on a web page in real time.                                
     ,
     

Files

PathSize
ox_pprtsuasstjvz.r0047,68 MB
ox_pprtsuasstjvz.r0147,68 MB
ox_pprtsuasstjvz.r0247,68 MB
ox_pprtsuasstjvz.r0340,45 MB
ox_pprtsuasstjvz.rar47,68 MB
ox_pprtsuasstjvz.sfv155 B
oxbridge.nfo3,36 KB