Complex Event Processing
Complex Event Processing (CEP) is a method of tracking and analyzing real-time data from various sources to identify patterns and relationships and derive insights. It involves processing and correlating large volumes of data from multiple sources, such as sensors, social media, and other streaming data sources, to identify meaningful events or patterns. CEP uses algorithms and rules to detect and analyze events in real-time, and can trigger actions or alerts based on the results. It is commonly used in industries such as finance, healthcare, and transportation to monitor and respond to events in real-time, such as fraud detection, patient monitoring, and traffic management.
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