Course Outline

Deep Dive into Drools

  • Review of Drools architecture and key components
  • Understanding rule evaluation and execution flow
  • Working with the Drools agenda

Creating Advanced Rules

  • Using complex conditional logic
  • Building multi-rule workflows
  • Working with rule templates

Managing Rule Dependencies

  • Understanding rule activation and conflict resolution
  • Using rule groups, salience, and agendas
  • Debugging rule dependencies

Optimizing Rule Execution

  • Techniques for improving rule execution performance
  • Caching and indexing in Drools
  • Monitoring and profiling rule execution

Advanced Workbench Features

  • Using Drools Workbench for large-scale rule management
  • Customizing decision tables and rule assets
  • Version control and collaborative rule editing

Integrating Drools with External Systems

  • Connecting to databases and other data sources
  • Integrating Drools with external APIs
  • Building custom adapters for unique business needs

Practical Applications and Case Studies

  • Designing rule-based credit risk systems
  • Implementing Drools for logistics and supply chain management
  • Developing solutions for other industry-specific scenarios

Summary and Next Steps

Requirements

  • Basic knowledge of Drools and rule-based systems
  • Proficiency in Java or an object-oriented programming language

Audience

  • Developers familiar with rule engines
  • Business analysts working with business logic workflows
  • IT professionals involved in process automation
 21 Hours

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