2. HOL9396: Oracle Event Processing 12c
Fast Data development with
Oracle Event Processing 12c
This is a Title Slide with Picture slide ideal for including a picture with a brief title, subtitle and presenter information.
To customize this slide with your own picture:
Right-click the slide area and choose Format Background from the pop-up menu. From the Fill menu, click Picture and texture fill. Under Insert from: click File. Locate your new picture and click Insert.
To copy the Customized Background from Another Presentation on PC
Click New Slide from the Home tab's Slides group and select Reuse Slides.
Click Browse in the Reuse Slides panel and select Browse Files. Double-click the PowerPoint presentation that contains the background you wish to copy.
Check Keep Source Formatting and click the slide that contains the background you want.
Click the left-hand slide preview to which you wish to apply the new master layout.
Apply New Layout (Important): Right-click any selected slide, point to Layout, and click the slide containing the desired layout from the layout gallery.
Delete any unwanted slides or duplicates.
To copy the Customized Background from Another Presentation on Mac
Click New Slide from the Home tab's Slides group and select Insert Slides from Other Presentation…
Navigate to the PowerPoint presentation file that contains the background you wish to copy. Double-click or press Insert. This prompts the Slide Finder dialogue box.
Make sure Keep design of original slides is unchecked and click the slide(s) that contains the background you want. Hold Shift key to select multiple slides.
Apply New Layout (Important): Click Layout from the Home tab's Slides group, and click the slide containing the desired layout from the layout gallery.
Lloyd Williams
Principal Product Manager
Business Integration
October 2, 2014
Copyright © 2014, Oracle and/or its affiliates. All rights reserved. |

3. This is a Safe Harbor Front slide, one of two Safe Harbor Statement slides included in this template.
One of the Safe Harbor slides must be used if your presentation covers material affected by Oracle’s Revenue Recognition Policy
To learn more about this policy,
For internal communication, Safe Harbor Statements are not required. However, there is an applicable disclaimer (Exhibit E) that should be used, found in the Oracle Revenue Recognition Policy for Future Product Communications. Copy and paste this link into a web browser, to find out more information.  
For all external communications such as press release, roadmaps, PowerPoint presentations, Safe Harbor Statements are required. You can refer to the link mentioned above to find out additional information/disclaimers required depending on your audience.

4. Oracle Event Processing Applications

5. Connecting the Internet-of-Things to Your Enterprise
Oracle Event Processing: From Noise to Value
Internet of Things
SOA / Enterprise
High Volume
Continuous Streaming
Sub-Millisecond Latency
Disparate Sources
Time-Window Processing
Pattern Matching
High Availability / Scalability
Unique Coherence Integration
Geospatial, Geo-fencing
Big Data & IoT Integration
Action!
Devices / Gateways
SOA
OEP
OEP
OEP
embedded
Distributed Intelligence
Filtering
Correlation
Aggregation
Pattern matching
Macro-event
High-value
Actionable
In-context
“Sea of data”

6. Modern Computing Challenges
Conditions for Event Processing
Does the problem have any one or more of the following conditions:
Requires high-throughput and low latency processing
Continuously streaming data
Real-Time correlation between multiple incoming data sources
Time-sensitive alerts, aggregations and calculations
Patterns in the data stream
Problem is more easily solved by analyzing before storing in DB
Data does not need to be stored, if there is nothing of interest in it
Does the problem you want to solve have any one or more of the following conditions?
Requires high-throughput and low-latency processing
Continuously streaming data
Real-time correlation between multiple incoming data sources
Time-sensitive alerts, aggregations and calculations
Needs to look for patterns in the data stream
Data does not need to be stored, if there is nothing of interest in it
Problem is more easily solved by analyzing before storing in DB

7. Solution Product Overview
Oracle Event Processing
Streaming Event Data
Solution involves one or more of the following:
High Volume
Continuous Streaming
Sub-Millisecond Latency
Disparate Sources
Time-Window Processing
Pattern Matching
Business Event Visualization
OEP
Filtering,
Pattern Matching,
Missing Events,
Aggregations,
Correlations, Calculations,
Geo-Spatial
Alerts, Actions

8. Oracle Event Processing (OEP)
High-Volume, Low-Latency Event Processing Infrastructure
Time-Sensitive Processing & Pattern Matching
Light-weight Java Application Server
Deploy in Data Center or Distributed Locations

9. Solution Overview Time Management & Pattern Matching
Continuous Query Language (CQL)
Pattern Matching
Detect Absence of Events & Missing Events
Event “A” NOT followed by Event “B” within 10 minutes
Event “A”, Event “B” should occur next, but Event “C” occurs instead.

10. Oracle Event Processing ApplicationDB
Business Logic
(CQL)
Output Adapter
Channel
Input Adapter
Channel
Business Logic
(CQL)
Channel
Input Adapter
Channel
CQL processors contain filtering, correlation, aggregation and pattern matching business logic
Output Adapter
Business Logic
(CQL)
Channel
Channels help control the flow of data and can be tuned for optimal performance
Input adapters connect to data sources
Output adapters send data and alerts to downstream systems and business processes
Big Data
Coherence
Databases, Coherence caches, Hadoop (HDFS) and NoSQL database can be referenced directly in CQL processors 10

11. High-Performance In-Memory Data Processing
Input Adapter
Data
Data
Channel
Data
Business Logic
(CQL)
Business Logic
(CQL)
Output Adapter
Analytics
Data
Channel
Data
Enrich
Data
Data
Data
Input Adapter
Data
Data
Data
Channel
Analytics: Continuously Sliding Windows of Streaming Data, Filtering, Correlations, Calculations, Aggregations, Pattern Matching, Missing Event Detection, Spatial Analysis, etc.
Enrichment: Integrate with data from DB, Coherence, NoSQL, Hadoop etc.
Oracle Event Processing

12. Oracle Event Processing 12c
What’s new? 1 2
New development environment (JDev)
Big Data extensions
Coherence Integration enhancements
Library of patterns to choose from (ex: missing event rule)
Easily connects with SOA infrastructure through EDN 3 4 5

13. Lab Service Request SLA Monitoring
This is a sample Metric with Picture slide ideal for including a picture with a large metric and statement, to emphasize a percentage or figure for impact.
To customize this slide with your own picture:
Right-click the slide area and choose Format Background from the pop-up menu. From the Fill menu, click Picture and texture fill. Under Insert from: click File. Locate your new picture and click Insert.

14. Service Request Process Customer-specific SLA Times
Service Request Status = ‘OPEN’
Oracle SOA Infrastructure
Oracle Business Activity Monitoring
Oracle User Messaging Service
Action!
Service Request Status = ‘CLOSED’
SLA Alert!
EDN
Was the service request completed in time?
Oracle Event Processing
Oracle Coherence
CQL
Pattern Matching
Customer-specific SLA Times

15. OEP Application SLA Monitoring Application
Part 2

16. SOA Composite with Event Delivery Network (EDN)
Part 2

17. SOA Composite vs. OEP Application
Service Request Status = ‘OPEN’
SOA Composite Instances
Service Request Status = ‘CLOSED’
Pattern Match
OEP
OEP Application
SLA Alert!
CLOSED
OPEN

19. Coming Soon Stream Explorer
This is a sample Metric with Picture slide ideal for including a picture with a large metric and statement, to emphasize a percentage or figure for impact.
To customize this slide with your own picture:
Right-click the slide area and choose Format Background from the pop-up menu. From the Fill menu, click Picture and texture fill. Under Insert from: click File. Locate your new picture and click Insert.

20. SX: Empower Business Users for Real-Time Streaming Data Analytics
Fast exploration of Real Time Streams
Fast definition & re-use of Real Time Event Patterns
Fast Testing and Deployment of Projects
Simple but powerful visual façade tooling abstracting for a general audience (business users) an underlying comprehensive, Lightweight, Low Latency, Extreme High Throughput capable, scalable OSGi Java-based Run Anywhere, Application Development & Deployment Event Server Platform technology
Sparc T5 benchmark released in August 2014
Streaming Event-Driven Architecture (EDA) , Server Platform

21. Stream Explorer Features for Business Users
Explorer: The application User Interface

22. Stream Explorer Features for Business Users
Catalog: The repository for browsing resources

23. Stream Explorer Features 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. Stream Explorer Features for Business Users
Pattern: A pre-built Exploration that addresses a particular business scenario in a focused and simplified User Interface

25. Stream Explorer: Empowers Business Users for Real-Time Streaming Data Analytics and IOT
Proactively identify and act on emerging threats and opportunities in the Streaming data related to your enterprise
Improve operational efficiencies with actionable insight from real-time information
Improve signal-to-noise ratio by only processing and storing data that is relevant
Build real-time applications in half the time and with no complexity
Business Applications, SOA Infrastructure, Social media outlets & M2M sensors/devices/gateways
Reusable general purpose & industry specific solution templates
Completely modifiable, flexible, extensible business definitions
, the Continuous Query Language (CQL) or the semantics of Event Stream Processing Application Models
Augment solution applications with comprehensive development tooling (if needed)

26. Wire Transfer Fraud Demo
Check to see if someone is receiving multiple wire transfers in small amounts within a few hours to try to avoid detection.
Crosses multiple SOA composite instances.
Simple example to demonstrate the EDN – OEP Stream Explorer integration.

27. SOA Composite vs. OEP Application
Wire Transfer 1 $8000
Wire Transfer 2 $9000
WT 1
WT 2
> $50,000 received in 3 hours

28. When to Use OEP? 1
Business Logic Layer for Event-Driven Coherence Applications 2
High-Volume Business Activity Monitoring Applications 3
Real-Time Spatial Applications 4
Fast Data: Real-Time Requirements with Big Data Infrastructure 5
High Volume Batch to Real-Time Conversion Projects 6
Internet of Things (IoT): Processing Data On and From Devices 7
Pattern Matching / Missing Events / Alerting / Fraud Detection

29. Oracle Event Processing (OEP)
High-Volume Low-Latency Event Processing Infrastructure
Event Processing Network (EPN)
Light-weight Java Application Server (embeddable)
Easily Customizable
Integrate with existing infrastructure and other Oracle Products (e.g. Coherence, BAM, RTD, Database, Big Data, Data Mining, Spatial, NoSQL Database etc.)
Time Management & Pattern Matching
Continuously Perform Calculations Over Time Windows or Number of Events
Partition Event Streams By Key Values
Perform Complex Pattern Matching
Adjust Core Business Logic in Real-time without Redeploying 29