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Course Outline

Introduction to Rule Engines

  • Artificial Intelligence
  • Expert Systems
  • Defining a Rule Engine
  • Rationale for Using Rule Engines
  • Benefits of Rule Engines
  • Appropriate Use Cases for Rule Engines
  • Scripting vs. Process Engines
  • Situations Where Rule Engines Are Not Suitable
  • Strong and Loose Coupling
  • Understanding Rules

Creating and Implementing Rules

  • Fact Model
  • KIE
  • Versioning and Repository Management for Rules
  • Exercises

Domain Specific Language (DSL)

  • Substituting Rules with DSL
  • Testing DSL-Based Rules
  • Exercises

jBPM

  • Integration with Drools
  • Overview of Core BPMN Concepts
  • Invoking Rules from Processes
  • Grouping Rules
  • Exercises

Fusion

  • Understanding Complex Event Processing
  • Overview of Fusion
  • Exercises

Mvel - The Rule Language

  • Filtering (fact type, field)
  • Operators
  • Compound Conditions
  • Operator Precedence
  • Accumulate Functions (average, min, max, sum, collectList, etc.)

Rete - Under the Hood

  • Compilation Algorithm
  • Drools RETE Extensions
  • Node Types
  • Understanding the Rete Tree
  • Rete Optimization

Rules Testing

  • Testing with KIE
  • Testing with JUnit

OptaPlanner

  • Overview of OptaPlanner
  • Simple Examples

Integrating Rules with Applications

  • Invoking Rules from Java Code

Requirements

Fundamental knowledge of an object-oriented programming language.

Basic understanding of the relational data model (RDBMS).

Familiarity with the concepts of Business Process Modelling.

 21 Hours

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