⊿ Point. {R} Glossary. ◢ Keyword: C. ▰ Sources. 〓 Books [B] ◥ University. {q} PhD. ⏫ THEMES. ⏫ Big Data. [B] Big Data. ⚫ USA. ↂ EndNote. ☝️ BD Dummies. Complex Event Processing (CEP) Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events),[1] and deriving a conclusion from them. Complex event processing, or CEP, is event processing that combines data from multiple sources[2] to infer events or patterns that suggest more complicated circumstances. The goal of complex event processing is to identify meaningful events (such as opportunities or threats)[3] and respond to them as quickly as possible.
These events may be happening across the various layers of an organization as sales leads, orders or customer service calls. Or, they may be news items,[4] text messages, social media posts, stock market feeds, traffic reports, weather reports, or other kinds of data.[1] An event may also be defined as a "change of state," when a measurement exceeds a predefined threshold of time, temperature, or other value. Conceptual description[edit] CEP relies on a number of techniques,[7] including: History[edit]