Slides from a presentation I gave at the 5th SOA, Cloud + Service Technology Symposium (September 2012, Imperial College, London). The goal of this presentation was to explore with the audience use cases at the intersection of SOA, Big Data and Fast Data. If you are working with both SOA and Big Data I would would be very interested to hear about your projects.
All kinds of data Large volumes Valuable insight, but difficult to extract (structured and unstructured data) Often extremely time sensitive Most of the vast data types portrayed here is consumer data and while the business will want to leverage Oracle Event Processing for business and application data, they are also impacted by this consumer data and information from the vast array or sensors where stream events showing temperatures in a container mid-pacific may destroy high cost food goods unless immediate action is taken or ….. For Starbucks immediately analyzing tweats after launching a new coffee, seeing spikes of negative comments, and very quickly figuring out that the negative reactions came from stores that were serving a particular warmed cheese sandwich, whose aroma did not go with the new coffee smell….. Huge ROI due to quick analysis and specific targeted response. And as you can see from the Spanish (La Caxia) bank solution, a customers Tweets are also being analzed by Oracle Event Processing and stored in Big Data to augment his preferences and influence his/her real time targetted campaigns
Scripting languages supported via Hadoop Streaming, equivalent to Unix streaming
Facebook, Google, Netflix, etc.Hadron Collider, NSF, etc.
Being able to preserve info over long term (without copy/filtering) could be very interesting for historical analysis, shipping & process optimization
SmartMeter example: want all data to do in-depth energy usage analysis but also want real-time analysis for things like leak detection.