Manual Analysis of Complex Event Processing with Esper

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Complex Event Processing with Esper

Skip to content. Esper also includes a pattern language that provides for stateful state-machine event pattern matching.

Complex event processing for real-time spatial data

EQL and patterns can be used alone or can also be combined to express complex temporal logic. Share this: Twitter Facebook Reddit. Like this: Like Loading They never settle for the status quo. Instead, they see the opportunity for innovation in the processes that others have long taken for granted. They respect what's already operating, but they can't help but want to improve upon it. Their special combination provides innovation tempered with profound logic.

They have incredible discernment. Should their efforts fail, they are unhesitating in accepting responsibility.

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They don't wallow in self-pity but rather see these missed attempts as critical steps on the path to success. This entry was posted in Uncategorized.


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Bookmark the permalink. Leave a Reply Cancel reply Enter your comment here Fill in your details below or click an icon to log in:. Email required Address never made public. And if you're more the book worm type, go and read your heart out with our brand new Process Mining Book , which has everything to get you started and much more!

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Complex Event Processing with Esper

Sure thing! Use this RSS feed , or subscribe to get an email when we post new articles. If you prefer an executive summary to the daily flurry, you should sign up to our mailing list here. And, of course you should follow us on Twitter here. On the website of the popular open-source CEP engine Esper , they nicely explain the difference of complex event processing compared to a database: The Esper engine works a bit like a database turned upside-down. I see correlation needs in two dimensions: Process mining generates process models from event data, but these events need to be correlated into so-called process instances.

Key Components of a CEP system

That is, traces or event sequences belonging to one execution of the process must be identified within unordered, interleaved event streams. In process mining, the events within the process instances need to have a relation to actual business activities to produce business-level process models.

So, if the events are too low-level, correlation can help to yield higher-level events that represent actual activities of interest 2.


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To enable the post analysis of events produced by a CEP engine for process mining techniques, these events need to be stored. If you are interested in this, here is a research paper on event data warehousing. Thanks to Szabolcs for pointing me to it!

complex event processing - Dynamic rule based CEP - Stack Overflow

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