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Causality and Event Processing

Causal event models that are developed in the course of forensic investigation or that are developed to enable running event simulations guide us so that we can make better decisions, such as improving business processes. (Click on title to see the full article).

A Standard Paradigm for Building Event Processing Hierarchies

When analytics on streaming event data is used to support better business decisions, it is often helpful to organize the information into logical event abstraction hierarchies. To implement event hierarchies, developers should design and build EPAs and EPNs that perform the appropriate sequence of calculations.

Vendors and Products in the Event Stream Processing Market

We can sort modern general-purpose ESP platforms into three major categories: A. Free, community-supported open source; B. Commercial, vendor-supported “open core” products that combine proprietary value-added capabilities with an open-source core; and C. Commercial, closed-source products. We list examples of each.

Causality in Event Stream Analytics

 by  David Luckham and Roy Schulte Modern event stream processing (ESP) platforms (also called stream analytics products) support a combination of ESP …