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In today’s hypercompetitive global market, increasing corporate agility is not just a competitive advantage -- it can be a matter of survival. Rapidly changing global market conditions as well as increasing competition are forcing IT organizations not only to streamline their operations, but to get smarter about how they architect infrastructure to serve the needs of business users. The rise of service oriented architecture (SOA) within enterprises -– from 53 percent enterprise adoption in 2005 to 66 percent just two years later, according to Forrester -– is one major example of how IT organizations have prioritized aligning the infrastructure with business needs to make the enterprise more agile and responsive.

To further the benefits of business-IT alignment, IT organizations are now looking for new ways to make their systems even more intelligent, interconnected and responsive by deploying supporting technologies that can help make the infrastructure even more responsive and agile. Business Event Processing (BEP) is a critical technology that can improve performance and agility of the enterprise. When implemented in conjunction with an SOA strategy, BEP can help enterprises quickly sense and respond to rapidly changing and complex situations that represent opportunities or risks to the overall business.

Simple, Complex and Business Event Processing

Simple event processing has been in use for decades to detect and respond to signals and messages changing the state of the enterprise. An example of such processing is when a specified action such as "enter quantity into database" is conducted in response to another action, such as the receipt of a shipment or placement of an order. The next level of events processing, Complex Event Processing (CEP), prioritizes high volumes of events from multiple sources and coordinates the execution of responses to a recognized pattern of events.

CEP extends processing capabilities to support a broader set of application requirements, such as a high volume of heterogeneous business event types from multiple sources and complex patterns that occur in no particular order or time. Due to the complexity of the technology, CEP adoption has been quite limited even though there's a tremendous amount of untapped value to business users. As a result, CEP has historically been most widely used within the context of specialized application requirements, primarily within the financial services sector for applications, such as equities trading, because of its ability to very effectively process events that occur in high volumes and under predictable time frames and static processing logic.


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