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Course Outline

1. BPMN and DMN
 Foundational review of Business Process Model and Notation (BPMN) and Decision Model and Notation (DMN), emphasizing core syntactic elements
 Technical capabilities of the Camunda process engine
 Operational challenges suitable for resolution through Business Process Management (BPM) frameworks
 Advanced functionalities and interface features of Camunda Modeler
 Core architectural concepts governing process execution within the Camunda engine
 Process lifecycle management, including initiation protocols and status verification mechanisms
 Detailed examination of BPMN and DMN semantics and the engine's interpretation of specific notation elements
 Data modeling strategies, serialization methodologies, and variable scoping rules
 Integration protocols for Spring Boot and initialization of the Camunda environment
 Application Programming Interface (API) specifications for Camunda
 Messaging architectures, distinct message types, and correlation techniques for process synchronization
 Timer definitions and database persistence configurations
2. Data, Errors, and Analysis
 Structural analysis of the Camunda data schema
 Management of historical data and retrieval access controls
 Incident resolution workflows and transactional integrity
 Standardized methodologies for error handling and recovery
 Process versioning controls, associated tooling, and migration strategies
 Guided practical exercises in configuring and deploying business process components across various environments
 Debugging procedures for the Camunda engine and associated process flows
 Identification of critical interfaces within the Camunda ecosystem
 Integration of unit testing frameworks with Camunda
 Camunda Cockpit overview, including production error analysis, token management, and process variable inspection
 Application development and deployment standards for process management in the EZD RP environment
3. Configuring Camunda
 Identification of common anti-patterns in process modeling and implementation
 Deployment strategies for Camunda in distributed production environments
 Established best practices for process modeling and engine administration
 Configuration options for Camunda, contrasting embedded versus standalone architectures
 Specific configuration parameters for Camunda within the EZD RP framework
 Engine optimization strategies for high-volume scenarios and critical performance considerations
 Administration of historical data within relational database systems
 Implementation of Custom History Backends and the History API for event reporting
 Recommended plugins for enhancing Camunda Modeler functionality
 Curated documentation and authoritative knowledge sources

 21 Hours

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