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Real Time Insight  with CEP
 

Real Time Insight with CEP

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Sybase Event Streaming Processing ile sektörünüz ne olursa olsun, gerçek zamanlı aksiyona dayali işlemler yapabilirsiniz.

Sybase Event Streaming Processing ile sektörünüz ne olursa olsun, gerçek zamanlı aksiyona dayali işlemler yapabilirsiniz.

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    Real Time Insight  with CEP Real Time Insight with CEP Presentation Transcript

    • Understanding the Need for Real-Time Insight regardless of your industry Muzaffer Yöntem muzaffer.yontem@sybase.com.tr
    • © SAP 2011 / Page 1 Our world is simply too busy – too many things happen too fast. You need to be able to analyse, understand and react to change.
    • © 2011 SAP AG. All rights reserved. 2 How do you make smart business decisions in real-time? Sales FinanceOperations Business Partners How do you track performance of key business processes? Are you able to identify trends, forecast events, and adapt quickly? How do you find out when things go wrong? Can you detect and respond rapidly to threats and opportunities?
    • © 2011 SAP AG. All rights reserved. 3 Evolution of Business Intelligence A Paradigm Shift Business focus Primary users Timeframe Use model Data Source: Intelligence Solutions Inc. Operational BI Manage and optimize daily business operations LOB managers, front-line employees, operational systems Intra-day Event-driven, Event processing Real-time, more data sources, greater volume ,low-latency & streams, historical data Strategic BI Long-term organizational goals Executives, analysts Months to years Rely on query/response Historical metrics, fewer sources ,ETL
    • © 2011 SAP AG. All rights reserved. 4 Information Management Landscape Integration, Federation, Operational BI Historical Event InitiatedUser Initiated Real Time Data Federation Data Integration (ETL based) Operational Business Intelligence / New Market Segment ‘Business questions are send to data and not data to business questions’
    • © 2011 SAP AG. All rights reserved. 5 Pattern Based Strategy Framework by Gartner
    • © 2011 SAP AG. All rights reserved. 6 Two approaches to CEP Rules Continuous Queries
    • © 2011 SAP AG. All rights reserved. 7 Complex Event Processing Target Industries & Use Cases Financial Capital markets Banking: fraud prevention 360 Degree Customer Touch Telecommunictions Operations monitoring Mediation Utilities Smart grid applications Demand management Transportation Location-based monitoring Customer satisfaction / loyalty Social Media Analysis -Real time customer Voice Retail / consumer product goods Real-time click stream analysis Customer sentiment analysis Supply chain management Hospitality / Service - On-line gaming - Customer loyalty Healthcare Healthcare (e-care, asset tracking) Public Sector Situational awareness for public safety Homeland security
    • © 2011 SAP AG. All rights reserved. 8 Faster Time To Value React Quicker, Create Better Value Action Taken Time Value Latency Event Happens Data Stored Action Value
    • © 2011 SAP AG. All rights reserved. 9 The Event-Driven Business SOA-2: Event-Driven Service Oriented Architecture  Monitor all internal and external business conditions in real time  Display conditions at multiple levels of the organization, with integrated views  Assess and display key performance indicators as conditions change Monitor Analyze  Access and analyze real-time information (Data Driven)  Analyze simple and complex key performance indicators (KPIs)  Access and analyze historical information  Identify new KPIs and business strategies Act  Proactively alert systems, people, and devices  Automate actions when key conditions occur and adjust actions on the fly  Simulate, analyze and tune automated action based on actual behavior  Allow end users to guide automated action & audit all activity
    • What is Complex Event Processing
    • © 2011 SAP AG. All rights reserved. 11 What Are Events? An event is just something happening A change of state Customer call, bank debit, aircraft movement Observation of that change CRM record of call, transaction success IT message JMS message, Web Service or DB record Just data with some key characteristics Time sensitivity High volume Distributed sources
    • © 2011 SAP AG. All rights reserved. 12 Simple Events Anything Can Happen Plane Landing Lightning Strike Barcode Scanned Temperature Reading Transaction Created İn CRM or core business apps Twits Facebook comments, enteries Clickstream data
    • © 2011 SAP AG. All rights reserved. 13 Example of Complex Event Processing Traditional BI: “How many Fraudulent credit card transactions occurred last week in Istanbul?” 1 2 3 4 5 6 7 8 9 time Complex Event Processing: “when three credit card authorizations for the same card occur in any five seconds window, deny the requests and check for fraud.”
    • Introducing Sybase Event Stream Processor
    • © 2011 SAP AG. All rights reserved. 16 Deliver Continuous Insight About Changing Events Sybase Event Stream Processor 5.0 •Unlimited number of input streams •Input events in native formats •Incoming data is processed as it arrives, according to the business logic defined using high level authoring tools •Stream output to apps, dashboards •Range of built-in adapters for out-of-the-box connectivity •Java, C++ and .NET API’s for custom integration ? INPUT STREAMS Market Events Transactions Process Events Dashboards Applications Studio (Authoring) Reference Data ESP Sybase IQ Message Bus
    • © 2011 SAP AG. All rights reserved. 17 Key Concepts Input Streams Events arrive on input streams Derived Streams, Windows Apply continuous query operators to one or more input streams to produce a new stream Database Analogy • Streams are like tables • Events are rows in the table • Fields in an event message are columns in the table Windows can Have State • Retention rules define how many or how long events are kept • Opcodes in events can indicate insert/update/delete and can be automatically applied to the window
    • © SAP 2011 / Page 18 ESP Studio: Both visual and textual authoring • ANALYST-LEVEL SKILLS (EXCEL, VBA) • EASY TO UNDERSTAND COMPLEX MODELS • NO NEED TO LEARN LANGUAGE SYNTAX • RAPID PROGRAMMING • EASY TO USE LANGUAGE (CCL) • MODULAR, PROJECT BASED APPROACH Visual Dataflow Authoring Language-based Authoring ESP Studio supports both Visual and Textual authoring • Visual diagram produces CCL (code-behind approach) • User can switch back and forth between diagram and language • Eclipse-based
    • © SAP 2011 / Page 19 Organisational Fit Within your landscape Business Users Process Control, Risk, Analytics Business Applications Operational Dashboards, Alerts, E-Mail Sybase Event Streaming Thin layer on top of existing infrastructure Logical Data Sources Database, Web Service, SAP Sources Physical World Sensors, Scanners, Equipment, RFID Works with all of your existing business applications
    • © SAP 2011 / Page 20 High-Level Architecture Dashboard BI PLATFORM Business User Alerts Event Sources Business Event Streams Event SL CEP and Event Network EventStreamingBIPLATFORM
    • © 2011 SAP AG. All rights reserved. 21 ESP Continuous Queries Event-Driven vs. On-Demand Traditional Queries are “On-Demand” – you run the query when you want to know something With ESP you define the queries before you have the data. Incoming event data flows through the queries in real-time Instead of getting the query results when you think to ask for them, you get them when you need to know
    • © 2011 SAP AG. All rights reserved. 22 Source: STAC Research Sep 08 – conducted against Aleri 3.1; 5.0 performance is similar The only CEP vendor to publish STAC benchmarks High Performance STAC Certified measurement of throughput and latency • Linear scaling with addition of more cores: 180,000 messages/sec on 16 cores 300,000 messages/sec on 24 cores • Consistent/predicable low latency. Only minor increase in latency from 20,000 to 300,000 messages/sec: Mean: 1.296 - 1.568 ms Medium: 1.177 - 1.502 ms Std Dev: 0.567 - 1.104 ms Min: 0.091 – 0.115 ms 99th percentile: 2.479 – 3.165 ms
    • © 2011 SAP AG. All rights reserved. 23 Just A Few of Our CEP Customers
    • Thank You!