Query Continuous Data streams Using OpenESB's Intelligent Event Processor
LAB-5540LT

Traditional database management systems run one-time queries over stored data sets. However, many modern applications require long-running, or continuous, queries over continuous unbounded streams of data. Event processing involves the continuous processing and analysis of high volume, high-speed data streams from inside and outside an organization. The need exists to detect business-critical issues as they happen, and to route, filter and pre-process data continuously over an indeterminate period of time.

The Intelligent Event Processor (IEP) processes data streams and detects business events in real-time, querying data elements that are in continuous, unbounded, rapid, existing time-varying streams and which do not represent static data, thus providing a technology that meets the need to process data continuously over a period of time. Here are some real-life examples that can be solved by IEP:

• How many times did Fred login as root for the last 24 hours?
• How many times is a business process triggered for the last hour? And what is the average execution time?
• Is a credit card charged for gasoline twice within 1 hour?
• Raise an alert when a stock price jump more than 10% relative to its 1 minute moving average price.
• Is the number of JMS messages in the broker increasing over time? What changed?

This lab explores the IEP's features through examples.

Software Requirements:
• JDK 6 Update 4
• NetBeans 6.0.1 All-bundle [includes GlassFish V2UR1; Tomcat; SOA]

Pre-requisites:
• Java (beginner level)
• SQL (beginner level)

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