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Course Outline

Deep Dive into Drools

  • Comprehensive review of Drools architecture and core components
  • Analyzing rule evaluation mechanisms and execution flow
  • Practical application of the Drools agenda

Creating Advanced Rules

  • Applying complex conditional logic
  • Constructing multi-rule workflows
  • Utilizing rule templates for standardized logic

Managing Rule Dependencies

  • Interpreting rule activation and conflict resolution strategies
  • Employing rule groups, salience, and agendas for control flow
  • Techniques for debugging complex rule dependencies

Optimizing Rule Execution

  • Strategies for enhancing rule execution performance
  • Implementation of caching and indexing within Drools
  • Monitoring and profiling execution patterns

Advanced Workbench Features

  • Leveraging Drools Workbench for enterprise-scale rule management
  • Customizing decision tables and rule assets
  • Managing version control and facilitating collaborative editing

Integrating Drools with External Systems

  • Establishing connections to databases and various data sources
  • Integrating Drools with external APIs
  • Developing custom adapters for specific business requirements

Practical Applications and Case Studies

  • Architecting rule-based credit risk assessment systems
  • Implementing Drools for logistics and supply chain optimization
  • Developing solutions for other industry-specific use cases

Requirements

  • Foundational understanding of Drools and rule-based systems.
  • Strong proficiency in Java or another object-oriented programming language.

Target Audience

  • Developers with existing familiarity with rule engines.
  • Business analysts involved in designing business logic workflows.
  • IT professionals responsible for process automation initiatives.
 21 Hours

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