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Big Data & Intelligent
     Platforms
  Next Iteration of PaaS for data driven world



            Krishnan Subramanian
     Principal Analyst, Rishidot Research
            Editor, CloudAve.com
My Coordinates
Web: www.rishidot.com
Blog: www.cloudave.com/author/krishnan
Email: krishnan@krishworld.com
Twitter: @krishnan
Great Computing Convergence
Cloud Computing
PaaS Is The Future Of Cloud Services
Social
Mobile
Big Data




           Pic Credit: http://www.flickr.com/photos/giladlotan/
Data Markets
Today

               Big Data

      Cloud
   Computing    Social


                Mobile
Tomorrow
Computing Convergence

                          Cloud
                        Computing



                        Big Data




                         Social &
                          Mobile
How?



          Tomorrow




  Today
Step Back
Application Consumption
Model
 No more monolithic applications
 Web 2.0, Cloud and BYOD Changing Behavior
 Legacy Apps exist but going away
 SOA done right?
Today’s App = Composition of Services
Re-Imagine Tomorrow’s
Apps
What if the app could take advantage of
 the change in consumption model?
 all pervasive cloud platforms?
 wealth of Big Data?
Next Gen Intelligent Apps


        Intelligent Apps




                            Data
                            Store

            Insights
IT Automation Like Never Before
Not Entirely Hallucinating
Today’s Intelligent Apps
 Such apps exist today in consumer
  sector
 Takes advantage of big data and
  predictive analytics
 But it is just a tip of the iceberg
 Enterprises can take advantage of this in
  a big way
Some Examples
 Netflix
 Amazon
 Traditional retailers like
 Target, Walmart, etc
 Etc.
Tip Of The Iceberg
Developing Intelligent Apps
          How?
Intelligent Platforms
Characteristics of next-gen platforms:
 Big Data at the core with a data as a
 service component
 Mobile and Social integrated
 Polyglot Platforms
Intelligent Platforms
Potential Players
PaaS Providers
Data Markets
DIY
Flow.net
Tibco’s Cloud Cousin
Brooklyn Project
 By CloudSoft
Conclusion
 Still in early stages
 Any data centric organization should
 be thinking about it
 I really want to hear from
 practitioners in this room on this
Let Us Continue The
Conversation
 Email: krishnan@krishworld.com
 Twitter: @krishnan
 Website: www.rishidot.com
 Blog: www.cloudave.com/author/krishnan

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