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(Lucas Jellema) One of the intriguing subjects at last weeks Oracle Open World conference for me was Complex Event Processing. The ability to process streams of real time events, and up to 1000s per second of them, opens up many new avenues of interesting opportunities. Detecting patterns and anomalies, aggregating and comparing - reporting only the noteworthy events or findings, thereby making sense (information) of enormous volumes of data is both great fun and tremendously useful in specific situations. The SQL like CQL language - Continuous Query Language - provides us with a syntax to analyze data streams in various ways - detecting trends and patterns, variations and aberrations. There are several key characteristics in the CEP architecture: handling large volumes of events, applying this special language for event analysis and executing the queries continuously. That last bit means that the query is registered with a stream of events, not executed at a single moment in time against the data as it is at that moment but looking for query results continously as the events keep streaming in. Query results can be reported for as long as the query registration remains active and the events keep streaming in. |
