Oracle Stream Explorer

Transkript

1 Oracle Stream Explorer Simplifying Event/Stream Processing Guido Schmutz BASEL BERN BRUGG DÜSSELDORF FRANKFURT A.M. FREIBURG I.BR. GENEVA HAMBURG COPENHAGEN LAUSANNE MUNICH STUTTGART VIENNA ZURICH

2 Guido Schmutz Working for Trivadis 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 Trivadis More than 25 years of software development experience Contact: guido.schmutz@trivadis.com Blog: Twitter: gschmutz

3 Unser Unternehmen. 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: B E T R I E B Trivadis Services übernimmt den korrespondierenden Betrieb Ihrer IT Systeme Trivadis Das Unternehmen

4 Mit über 600 IT- und Fachexperten bei Ihnen vor Ort. KOPENHAGEN HAMBURG 14 Trivadis Niederlassungen mit über 600 Mitarbeitenden. Über 200 Service Level Agreements. Mehr als 4'000 Trainingsteilnehmer. DÜSSELDORF Forschungs- und Entwicklungsbudget: CHF 5.0 Mio. FRANKFURT Finanziell unabhängig und nachhaltig profitabel. GENF BASEL BERN LAUSANNE FREIBURG BRUGG ZÜRICH STUTTGART MÜNCHEN WIEN Erfahrung aus mehr als 1'900 Projekten pro Jahr bei über 800 Kunden Trivadis Das Unternehmen

5 Agenda 1. Motivation 2. Oracle Stream Explorer Overview 3. Oracle Stream Explorer Terminology 4. Demo

6 Motivation

7 Streaming analytics is anything but a sleepy, rear view mirror analysis of data.

8

9 Oracle Stream Explorer Overview

10 Oracle Stream Explorer Platform What it does 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 Evolving Self Aware, Self Discovery Elastic Fast Data Streaming Infrastructure Computing Edge Enterprise Streams Fast Data Events Actions OEA FOG Sea of data Devices / Gateways Filtering Correlation Aggregation Pattern matching Stream Explorer EDGE Analytics Macro-event High-value Actionable In-context Cloud Service* Services Stream Explorer Enterprise High Volume Continuous Streaming Extreme Low Latency Disparate Sources Temporal Processing Pattern Matching Machine Learning Sensor patterns from physical and environmental, Geospatial movement, location based High Availability / Scalability Coherence Integration Geospatial, Geofencing Big Data Integration Sparc SOA infrastructure T5 integration Performance Business Event 4 Million Events/Second Visualization Exalogic Action! Single Node Performance 1+ Million Events/Second * Future planned Features

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-Streaming Geo-Fence, Fence, Polygon

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

15 Easily choose your Business Analytics paradigm : Streaming Temporal Queries or Business Rule Semantics

16 Array of re-usable Real Time Insight Business Patterns Oracle Stream Explorer provides a feature known as patterns. 1. A pattern 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

17 Stream Explorer Terminology

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

26 Demo

27 Summary

28 Summary Stream Explorer leverages the 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 an der DOAG 2015 Ebene 3 - gleich neben der Rolltreppe Wir freuen uns auf Ihren Besuch. Denn mit Trivadis gewinnen Sie immer /24/15 Trivadis Das Unternehmen

30 Guido Schmutz Technology Manager