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Oracle Stream Explorer
The document discusses Trivadis, a leading IT consulting and services company in Switzerland, Germany, Austria, and Denmark, highlighting its expertise in integration, solution engineering, and support. It features an overview of Oracle Stream Explorer, which provides users with real-time streaming analytics capabilities, enabling them to perform data analysis without deep technical knowledge. The text also outlines the platform's benefits, key features, and terminology, emphasizing its user-friendly interface and the ability to visualize business events effectively.
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Oracle Stream Explorer
- 1. BASEL BERN BRUGGDÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENEVA HAMBURG COPENHAGEN LAUSANNE MUNICH STUTTGART VIENNA ZURICH Oracle Stream Explorer Simplifying Event/Stream Processing Guido Schmutz
- 2. Guido Schmutz Working forTrivadis for more than 18 years Oracle ACE Director for Fusion Middleware and SOA Co-Author of different books Consultant, Trainer Software Architect for Java, Oracle, SOA and Big Data / Fast Data Member of Trivadis Architecture Board Technology Manager @ Trivadis More than 25 years of software development experience Contact: guido.schmutz@trivadis.com Blog: http://guidoschmutz.wordpress.com Twitter: gschmutz
- 3. Unser Unternehmen. © Trivadis– Das Unternehmen3 24.11.15 Trivadis ist führend bei der IT-Beratung, der Systemintegration, dem Solution Engineering und der Erbringung von IT-Services mit Fokussierung auf - und -Technologien in der Schweiz, Deutschland, Österreich und Dänemark. Trivadis erbringt ihre Leistungen aus den strategischen Geschäftsfeldern: Trivadis Services übernimmt den korrespondierenden Betrieb Ihrer IT Systeme. B E T R I E B
- 4. KOPENHAGEN MÜNCHEN LAUSANNE BERN ZÜRICH BRUGG GENF HAMBURG DÜSSELDORF FRANKFURT STUTTGART FREIBURG BASEL WIEN Mit über 600IT- und Fachexperten bei Ihnen vor Ort. © Trivadis – Das Unternehmen4 24.11.15 14 Trivadis Niederlassungen mit über 600 Mitarbeitenden. Über 200 Service Level Agreements. Mehr als 4'000 Trainingsteilnehmer. Forschungs- und Entwicklungsbudget: CHF 5.0 Mio. Finanziell unabhängig und nachhaltig profitabel. Erfahrung aus mehr als 1'900 Projekten pro Jahr bei über 800 Kunden.
- 5. Agenda 1. Motivation 2. OracleStream Explorer Overview 3. Oracle Stream Explorer Terminology 4. Demo
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- 9. Oracle Stream ExplorerOverview
- 10. Oracle Stream Explorer Platform What itdoes • Compelling, friendly and visually stunning real time streaming analytics user experience for Business users to dynamically create and implement Instant Insight solutions Key Features • Analyze simulated or live data feeds to determine event patterns, correlation, aggregation & filtering • Pattern library for industry specific solutions • Streams, References, Maps & Explorations Benefits • Accelerated delivery time • Hides all challenges & complexities of underlying real-time event-driven infrastructure
- 11. Oracle Stream Explorer- Connecting Everything & Anything of Interest to the Business Understanding of CQL Filtering, Correlation, Pattern: NOT NEEDED Understanding of IT Deployment and Management: NOT NEEDED Understanding of Development, Java, Best Practices: NOT NEEDED Understanding of the Event Driven Platform: NOT NEEDED
- 12. Sensor patterns fromphysical and environmental, Geospatial movement, location based • High Availability / Scalability • Coherence Integration • Geospatial, Geofencing • Big Data Integration • SOA infrastructure integration • Business Event Visualization • Action! OEA • Filtering • Correlation • Aggregation • Pattern matching Devices / Gateways Services Computing Edge Enterprise “Sea of data” Macro-event High-value Actionable In-context EDGE Analytics Stream Explorer Exalogic Single Node Performance 1+ Million Events/Second Sparc T5 Performance 4 Million Events/Second Cloud Service* Stream Explorer Enterprise * Future planned Features FOG Evolving Self Aware, Self Discovery Elastic Fast Data Streaming Infrastructure • High Volume • Continuous Streaming • Extreme Low Latency • Disparate Sources • Temporal Processing • Pattern Matching • Machine Learning Fast Data Events Actions 1 2 3 Streams
- 13. Business accessibility to Geo-Streaming, Spatial Analytics “ Real Time Streaming Solutions face an increasing need to track "assets of interest" and initiate actions based on encroachment of boundary proximity to fixed and moving objects and other geographic, temporal, or event conditions” Geo-Fence, Fence, PolygonGeo-Streaming
- 14. Expression Builder enabling Column manipulation, Calculation for the Business User “ Add value to your real time streaming data discovery and analytics by applying and including mathematical, statistical analysis to the live output stream” “These streaming “Excel spreadsheets” really do come to life”
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- 16. Array of re-usable Real Time Insight Business Patterns Oracle Stream Explorer provides a feature known as patterns. 1. Apattern provides you with the results displayed in a live output stream based on common business scenarios 2. A pattern is a template of an Oracle Stream Explorer Platform Application that already has the business logic built into it 3. The visual representation of the event stream varies from one pattern type to another based on the key fields you choose
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- 18. Stream Explorer –Terminology for Business Users Explorer: The Application User Interface
- 19. Stream Explorer –Terminology for Business Users Catalog: The repository for browsing resources
- 20. Stream Explorer –Terminology for Business Users Shape: A blueprint of an event in a stream or data in a data source. How the business data is represented in the selected stream
- 21. Stream Explorer –Terminology for Business Users Reference: A connection to static data that is joined to a stream to enrich it and/or to be used in business logic and output
- 22. Stream Explorer –Terminology for Business Users Stream: An incoming flow of events that you want to analyze, for example a stream of JMS, EDN events or simulated Business Events from an CSV file
- 23. Stream Explorer –Terminology for Business Users Exploration: An application that correlates events from streams, data from data sources, even other Explorations. It uses filters, groupings, summaries, ranges, and more to Identify, Qualify and Expose a Real Time Business Solution
- 24. Relationship between Streams(Sources), References and Explorations
- 25. Stream Explorer –Terminology for Business Users Pattern: A pre-built Exploration that addresses a particular business scenario in a focused and simplified User Interface
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- 28. Summary Stream Explorer leveragesthe capabilities found in Oracle Event Processing (OEP) Empowering Business users to gain insight into real-time information and take appropriate actions when needed => makes stream processing accessible Makes Stream/Event Processing less technical => “Excel spread sheet” on Streams Part of Oracle IoT Cloud Service Will support Spark Streaming as a deployment platform in the future Interesting road map: Rule Engine, Machine Learning, Extensible Patterns
- 29. © Trivadis –Das Unternehmen29 11/24/15 Trivadis an der DOAG 2015 Ebene 3 - gleich neben der Rolltreppe Wir freuen uns auf Ihren Besuch. Denn mit Trivadis gewinnen Sie immer.
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