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Real-Time Big Data Analytics

                     Shay Hassidim, Deputy CTO


                            Shay@gigaspaces.com
ABOUT MYSELF – SHAY HASSIDIM
 GigaSpaces US CTO
 More than 20 years of SW development
     Java , .Net , C++ , you name it…
 Almost 10 years with GigaSpaces
     From the time we have been startup at the garage…
 Oversight the entire technical operations within the Americas
 Located in GigaSpaces NY HQ




2
GIGASPACES BUSINESS CARD




                                                             Healthcare


          300+ Direct Customers            75+ Cloud Customers
          40+ Fortune 500 + Organization   25+ ISVs



                            Founded 2000

3
CUSTOMERS SAMPLES



    • Credit risk / pricing systems
    • Credit card services
    • Trading (equities / energy / fixed income / forex/high
      frequency) systems
    • Cloud/Virtualization Platforms
    • User web portal systems
    • Market Data systems
    • Reconciliation systems



4
GIGASPACES PRODUCT EVOLUTION
    FROM DATA, TO APPLICATION, TO VIRTUAL DATA CENTER




                                                                 PaaS
                                                                 Enablement:
                                            Application          • Run & manage
                                            Cloud                  multiple apps, of
                      End to End            Enablement:            any kind, on
                      Application           • Run your XAP
                                                                   private & public
    Data Scaling      Scaling                                      clouds
                                              app on private &
    • Scale your      • Scale your entire     public clouds
      application’s     application:
      data tier         web, BL, data, m
                        essaging



5
WHAT ARE OUR CHALLENGES?




               Real-Time Big Data Analytics


6
SPEED




7
SCALABILITY




8
SIMPLE




9
THE DEMO




     What are the most popular
        words on Twitter ?



10
WHAT ARE THE MOST 3 POPULAR WORDS ON TWITTER ?




Just
Found
Love
11
TWITTER REAL-TIME ANALYTICS ENGINE


 300 million tweets/day
 On avg - 8,000 tweets/sec
 On peak - 25,000 tweets/sec
 Scale linearly
 Elastic
   Facebook gets 100 billion hits per
                  day
12
ARCHITECTURE HOT SPOTS

     CPU bottleneck

     Network bottleneck

     Counters contention

     Database bottleneck
13
REAL-TIME FLOW




14
NO HOT SPOTS….

     No CPU bottleneck

     No Network bottleneck

     No Counters contention

     No Database bottleneck
15
SOLUTION FEATURES
•    Light Event Processing
•    Map-reduce
•    Event-driven
•    Execute code with data
•    Transactional
•    Schema-less
•    Secured
•    Elastic
•    Asynchronous persistence to big data store
16
Shay Hassidim – CTO, USA   Norm Leitman – Sales Engineer
     shay@gigaspaces.com        nleitman@gigaspaces.com
17
     917-723-1415               732-672-2707

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July NY Enterprise Technology Meetup

  • 1. Real-Time Big Data Analytics Shay Hassidim, Deputy CTO Shay@gigaspaces.com
  • 2. ABOUT MYSELF – SHAY HASSIDIM  GigaSpaces US CTO  More than 20 years of SW development  Java , .Net , C++ , you name it…  Almost 10 years with GigaSpaces  From the time we have been startup at the garage…  Oversight the entire technical operations within the Americas  Located in GigaSpaces NY HQ 2
  • 3. GIGASPACES BUSINESS CARD Healthcare 300+ Direct Customers 75+ Cloud Customers 40+ Fortune 500 + Organization 25+ ISVs Founded 2000 3
  • 4. CUSTOMERS SAMPLES • Credit risk / pricing systems • Credit card services • Trading (equities / energy / fixed income / forex/high frequency) systems • Cloud/Virtualization Platforms • User web portal systems • Market Data systems • Reconciliation systems 4
  • 5. GIGASPACES PRODUCT EVOLUTION FROM DATA, TO APPLICATION, TO VIRTUAL DATA CENTER PaaS Enablement: Application • Run & manage Cloud multiple apps, of End to End Enablement: any kind, on Application • Run your XAP private & public Data Scaling Scaling clouds app on private & • Scale your • Scale your entire public clouds application’s application: data tier web, BL, data, m essaging 5
  • 6. WHAT ARE OUR CHALLENGES? Real-Time Big Data Analytics 6
  • 10. THE DEMO What are the most popular words on Twitter ? 10
  • 11. WHAT ARE THE MOST 3 POPULAR WORDS ON TWITTER ? Just Found Love 11
  • 12. TWITTER REAL-TIME ANALYTICS ENGINE  300 million tweets/day  On avg - 8,000 tweets/sec  On peak - 25,000 tweets/sec  Scale linearly  Elastic  Facebook gets 100 billion hits per day 12
  • 13. ARCHITECTURE HOT SPOTS CPU bottleneck Network bottleneck Counters contention Database bottleneck 13
  • 15. NO HOT SPOTS…. No CPU bottleneck No Network bottleneck No Counters contention No Database bottleneck 15
  • 16. SOLUTION FEATURES • Light Event Processing • Map-reduce • Event-driven • Execute code with data • Transactional • Schema-less • Secured • Elastic • Asynchronous persistence to big data store 16
  • 17. Shay Hassidim – CTO, USA Norm Leitman – Sales Engineer shay@gigaspaces.com nleitman@gigaspaces.com 17 917-723-1415 732-672-2707

Notes de l'éditeur

  1. NOTE: FS, e-com, and e-gaming link to landing pages on website
  2. From datatp