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These are just a few examples of the types of applications that can benefit from complex event processing technology. The common denominator among these applications is that they share the need to continuously collect, process, and analyze data in real-time, producing results without delay, even when the data arrives at very high rates. While traditional databases were designed to process individual transactions at very high rates; analyzing the data to look for specific conditions or deriving higher level summary data were tasks that had to happen "off-line," using query tools that were never designed to produce actionable intelligence in real-time.
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