Complex Event Processing (CEP)

1. Complex Event Processing(CEP) Ayhan KARGIN @

2. Agenda • What is CEP? • Types • Why needed? • Usage Areas • TTNET’s Perspective • Products

3. What is CEP? • Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), and deriving a conclusion from them. • Complex event processing, or CEP, is event processing that combines data from multiple sources to infer events or patterns that suggest more complicated circumstances. • The goal of complex event processing is to identify meaningful events (such as opportunities or threats) and respond to them as quickly as possible. • CEP as a technique helps discover complex events by analyzing and correlating other events.

4. Analyze stream of events or multiple streams of events in real-time • Recognize particular sequences or patterns across the streams • Infer a business significant event from the correlated events

6. Types Most CEP solutions and concepts can be classified into two main categories: • Computation-oriented CEP • Detection-oriented CEP A computation-oriented CEP solution is focused on executing on-line algorithms as a response to event data entering the system. A simple example is to continuously calculate an average based in data on the inbound events. Detection-oriented CEP is focused on detecting combinations of events called events patterns or situations. A simple example of detecting a situation is to look for a specific sequence of events.

7. Why Needed? • Revenue • Operational Excellence • Competition • Customer Satisfaction • Reduced Response Time (Near Real Time) • Suggestions and Offers are made at a reasonable time and place to provide a better service. • Faster, effective and focused service.

8. Value of Action decreases by Time

9. Usage Areas • Adaptive Marketing • Pattern: Capture opportunity with customer while ‘the window is open’. • Telco • SLA (Service Assurance) • Real Time Service Offers and Analytics • Finance • Fraud Detection (Security Monitoring) • Track and Trace Trades/Deals/Settlements • Business Activity Monitoring, Risk Management • Algorithmic Stock-Trading • Logistics - Track & Trace • Track Packages against a “Plan”. Infer package delays in a proactive manner. Alert customers. • Shipping by RFID. • Government • Track and Analyze ‘patterns’ that were otherwise very difficult to detect • Dynamic Resource Scheduling • Real Time Optimization of Resources against a “Plan”. (Plane)

10. Usage Areas İnternetaramamotorunda "borç", "portföy" ve "hissesenetleri" gibiterimlerdahaazarandığında, Dow Jones endeksindeyükselmeeğilimigörüldüğübelirtiliyor. Bu terimlerdahaçokaranıyorsa, hissesenediendeksindedüşmebekleniyor. 2004 ve 2011 arasındabuyöntemedayalıyatırımstratejisiizlenerek, % 326 kâreldeedilebileceğihesaplandı. Bu stratejiizlendiğinde % 326 oranındakâreldeedilebileceğisonucunaulaşıldı. En basitstratejiyle, 2004'te hissesatınalınıp 2011'de satılmışolsa, kâroranısadece % 16 olacaktı. Warwick Üniversitesi'ndenTabiasPreis, aramalardakiyükselişlepiyasalardakidüşüşarasındakibağlantının, 'kayıptankaçınma' olgusunugösterdiğinisöylüyor; "İnsanlarsahipolduklarıbirşeyisatarken, yenibirşeysatınalırkenolduğundandahaçokkorkar." diyor.

11. Google Self Driving Car Google's self-driving car gathers 750 megabytes of sensor data per SECOND!

12. Usage Areas • Boeing 787s to create half a terabyte of data per flight. (Last week Big data presentation) • Turkcell makes offers and suggestions by GPS location of customers. • If a customer call abroad 3 times in 15 minutes an abroad package suggested to customer for satisfaction

13. TTNET's Perspective • When a limited package customer exceed limit an unlimited package can be offered by call center. • Stock suggestions can be done by categorizing web sites and visit statistics. • Offers can be done to wifi users by time and place factors. (Example: discount for customers who use Starbucks wifi access points.) • …

14. Products • Oracle Complex Event Processing (OEP) Oracle Event Processing (OEP) is a complete solution for building applications to filter, correlate and process events in real-time so that downstream applications, service oriented architectures and event-driven architectures are driven by true, real-time intelligence. (Continuous Query Language, CQL) • ESPER (Open Source) Esper is a component for complex event processing, available for Java as Esper, and for .NET as Esper. Esper and NEsper enable rapid development of applications that process large volumes of incoming messages or events. Esper and NEsper enable filter and analyze events in various ways, and respond to conditions of interest in real-time. (Event Query Language, EQL)

15. Products • Microsoft StreamInsight Microsoft StreamInsight is a powerful platform that you can use to develop and deploy complex event processing (CEP) applications. Its high-throughput stream processing architecture and the Microsoft .NET Framework-based development platform enable you to quickly implement robust and highly efficient event processing applications. • TibcoStreamBase The StreamBase Complex Event Processing platform is a high-performance system for rapidly building applications that analyze and act on real-time streaming data. With StreamBase, organizations rapidly build real-time systems in record time and are deployed at a fraction of the cost and risk of alternatives.

16. Products • InformaticaRulePoint Deliver Proactive Monitoring and Operational Intelligence by real-time alerts and insight into pertinent information, enabling you to operate smarter, faster, more efficiently, and more competitively. • IbmWebsphere Business Events It is a fully-integrated technology platform delivering functionality for the design, running and monitoring of complex business processes.

17. Oracle Event Processing Example

18. Oracle Event Processing Example

19. Teşekkürler