Complex Event Processing

Event Processing is a method of tracking and analysing streams of data about things that happen and deriving a conclusion from them. Complex Event Processing, or CEP, combines data from multiple sources to infer events or patterns that suggest more complicated circumstances. The goal of complex event processing is to identify meaningful events such as opportunities and/or threats and respond to them as quickly as possible. A key problem in real time processing is the detection of event patterns in data streams. CEP address this issue effectively.

CEP is used in operational intelligence (OI) products to provide insight into business operations by running query analysis against live feeds and event data. OI collects real-time data and correlate against historical data to provide insight and analysis. Multiple sources of data can be combined to provide a common operating picture that uses current information.

We introduced process refinement – the feedback loop, resource management and work flow components of event processing architectures. We review another critical area in the functional CEP reference architecture – visualization, which includes both user interfaces and scientific visualisations.


CEP relies on a number of techniques, including:


  •    Event-pattern detection
  •    Event abstraction
  •    Event filtering
  •    Event aggregation and transformation
  •    Modeling event hierarchies

API Interface

An Application Programming interface is a set of subroutine definitions, protocols, and tools for building application software.

API Interface

  • Restrict access to the project for anonymous users
  • Ensure that the 'All users' group does not have permissions to view the project.
  • Ensure that any of the auto-joined user groups do not have access to the project as well.
  • Check that other groups, except the group that should view the project, do not have access to the project.
  • Grant permissions to access the target project to the desired user group and/or individual user.

License Sales

CEP engines let users write queries using a higher level language such as a SQL like query language. CEP engines let users write queries using a higher level language such as a SQL like query language.

License Sales

CEP engines let users write queries using a higher level language such as a SQL like query language. CEP engines let users write queries using a higher level language such as a SQL like query language. They come from stock market related use cases where they generate a response within milliseconds. Also, CEP has build in operators such as time windows, temporal event sequences etc.

FEATURES

Complex Event Processing is a technology for low-latency filtering, correlating, aggregating, and computing on real-world event data.

FEATURES

  • Monitor detailed metrics of each task and each instance.
  • Integrate two or more entire pre-built pipelines which may individually use different streaming engines.
  • Built-in operators for predictive models including inline model-test feature and visual analysis of model data.
  • Web-based run-time alert configuration.
  • Create different "workspaces" for different tenants.
  • Web-based interface to manage system settings and configurations​.