This section describes several components, functionalities, and operations of the Business Rule engine. The rule engine provides the execution context for a rule set. The RuleEngine object uses the following plug–in components for implementation:
Ruleset executor (inference engine). Implements the algorithm responsible for rule condition evaluation and action execution. The default rule set executor is a discrimination network-based forward-chaining inference engine designed to optimize in-memory operation.
Ruleset translator. Takes as input a RuleSet object and produces an executable representation of the rule set. The default in-memory translator creates a compiled discrimination network from the rule set definition.
Rule set tracking interceptor. Receives output from the rule set executor (inference engine) and forwards it to rule set tracking and monitoring tools.
The ability to build business rules that ensure consistent business logic whatever app is accessing that data set is imperative to a successful business operation. This module will show you how you can build business rules that are triggered anytime they're used within Dataverse.