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picture1_Big Data Analytics Ppt 75628 | Bigdata Analytics Intro V2


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File: Big Data Analytics Ppt 75628 | Bigdata Analytics Intro V2
cmps 490 csce 598 big data analytics description essentials of big data analytics topics include challenges and opportunities posed by big data in a variety of domains predictive analytics or ...

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              CMPS 490 / CSCE 598
         Big Data Analytics
    • Description: Essentials of Big Data analytics. Topics include: 
    challenges and opportunities posed by Big Data in a variety of 
    domains, predictive analytics or other advanced methods to extract 
    value from data, innovative statistical techniques to glean insights 
    from data, frameworks for parallelizing data pre-processing and data 
    analytics, such as,  Hadoop and Spark, and distributed algorithms to 
    accelerate knowledge discovery.
     • 3 Credit(s). 0 Hour(s) Lab. 3 Hour(s) Lecture
     • Prereq: Math 362 and CMPS 460(G) or permission of instructor required.
                     CMPS 490 / CSCE 598
              Big Data Analytics
     Title  Principles of Big Data: Preparing, 
            Sharing, and Analyzing Complex 
            Information 
     Publisher Morgan Kaufmann Publishers Inc. 
            San Francisco, CA, USA ©2013
     ISBN   9780124047242
                 Who is Generating Big Data?
                     o Facebook : 1.39 billion monthly users
                     o YouTube: 300hrs video uploaded/min 
                     o Instagram:70 Million photos/day
                                             o  4.9 billion devices (2015)
                                                                  o ASKA Pathfinder: 36 antennas stream 250GB/sec/antenna
                                                                  o LHC at CERN:15 petabytes/year
  o Walmart: 1 million transactions each hour
  o Walmart holds 2.5 petabytes
                  ASKA: Australian Square Kilometer Array           LHC: Large Hadron Collider               CERN: European Organization for Nuclear Research 
                                                              Big Data Overview
                                                                                                                                                          220K         50K Apps 
                                                                                                                                                         photos        AppStore
                                                                                                                                                        Instagram
                                                                                                                                              300K                                    200 
                                                                                                                                              tweets                                million 
                                                                                                                                                                                    emails
                                                                                                                                       2.5 million                 1                      $80K 
                                                                                                                                         shares                 minute                  amazon 
                                                                                                                  Variety                                                                 sales
                                        Volume                                                                                                                          Velocity
                                                                                                     5 V
                               Variability                                                                                                                    Veracity
    Velocity- Time to action vs. Value 
    Hackathorn, 2002
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...Cmps csce big data analytics description essentials of topics include challenges and opportunities posed by in a variety domains predictive or other advanced methods to extract value from innovative statistical techniques glean insights frameworks for parallelizing pre processing such as hadoop spark distributed algorithms accelerate knowledge discovery credit s hour lab lecture prereq math g permission instructor required title principles preparing sharing analyzing complex information publisher morgan kaufmann publishers inc san francisco ca usa isbn who is generating o facebook billion monthly users youtube hrs video uploaded min instagram million photos day devices aska pathfinder antennas stream gb sec antenna lhc at cern petabytes year walmart transactions each holds australian square kilometer array large hadron collider european organization nuclear research overview k apps appstore tweets emails shares minute amazon sales volume velocity v variability veracity time action vs h...

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