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Course Outline

In-Depth Analysis of Drools

  • Recap of Drools architecture and core components
  • Insight into rule evaluation and execution sequences
  • Interaction with the Drools agenda

Developing Sophisticated Rules

  • Application of complex conditional logic
  • Construction of multi-rule workflows
  • Utilization of rule templates

Handling Rule Dependencies

  • Comprehension of rule activation and conflict resolution mechanisms
  • Application of rule groups, salience levels, and agendas
  • Techniques for debugging rule dependencies

Enhancing Rule Execution Performance

  • Strategies for boosting rule execution speed
  • Implementation of caching and indexing in Drools
  • Methods for monitoring and profiling execution

Advanced Workbench Capabilities

  • Managing large-scale rule sets using Drools Workbench
  • Customization of decision tables and rule assets
  • Version control and collaborative rule editing practices

Drools Integration with External Platforms

  • Establishing connections to databases and diverse data sources
  • Linking Drools with external API interfaces
  • Crafting custom adapters to meet specific business requirements

Real-World Applications and Case Studies

  • Architecting rule-based credit risk assessment systems
  • Applying Drools in logistics and supply chain operations
  • Creating solutions for various industry-specific contexts

Requirements

  • Fundamental understanding of Drools and rule-based architectures
  • Competency in Java or another object-oriented programming language

Target Audience

  • Developers with existing experience using rule engines
  • Business analysts engaged in managing business logic workflows
  • IT specialists focused on process automation initiatives
 21 Hours

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