Course Outline

Drools Administration

Short Introduction to Rule Engines

  • Artificial Intelligence
  • Expert Systems
  • What is a Rule Engine?
  • Why use a Rule Engine?
  • Advantages of a Rule Engine
  • When should you use a Rule Engine?
  • Scripting or Process Engines
  • When you should NOT use a Rule Engine
  • Strong and Loose Coupling
  • What are rules?

Where things are

  • Managing rules in a jar file
  • Git repository
  • Executing rules from KIE
  • Managing BPMN and workflows files
  • Moving knowledge files (rules, processes, forms, work times...)

Rules Testing

  • Where to store test
  • How to execute tests
  • Testing with JUnit

Deployment Strategies

  • standalone application
  • Invoking rules from Java Code
  • integration via files (json, xml, etc...)
  • integration via web services
  • using KIE for integration

Administration of rules

  • authoring
  • Packages
  • Artifact Repository
  • Asset Editor
  • Validation
  • Data Model
  • Categories
  • versioning
  • Domain Specific Languages
  • Optimizing hardware and software for rules execution
  • Multithreading and Drools

Kie

  • Projects structures
  • Lifecycles
  • Building
  • Deploying
  • Running
  • Installation and Deployment Cheat Sheets
  • Organization Units
  • Users, Rules and Permissions
  • Authentication
  • Repositories
  • Backup and Restore
  • Logging

Requirements

Good understanding of Java Environment, Linux operating system. Git repository basics recommended, but not required.
  21 Hours
 

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Testimonials

Examples explain and answer questions

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Part of the exercises went from shallow to deep and gradually deepened

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