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Course Outline
Introduction
- What is Domain-Driven Design (DDD) and its benefits for government?
- Comparison of DDD with other methodologies
- Overview of key DDD concepts and project structure for government applications
Tactical Domain-Driven Design
- Components of a domain model for government projects
- Implementing entities, value objects, aggregates, repositories, and domain services in government systems
- Leveraging factories, specifications, Command Query Responsibility Segregation (CQRS), and event sourcing for enhanced governance
Strategic Domain-Driven Design
- Context mapping patterns for government initiatives
- Designing domain models using techniques such as event storming and domain storytelling for government projects
- Identifying and categorizing subdomains within government operations
- Establishing clear boundaries and relationships through bounded contexts for improved governance and accountability
DDD & Legacy Systems Workshop
- Challenges and opportunities in managing legacy systems for government
- Analyzing and understanding legacy systems using tools like NDepend for government agencies
- Refactoring and modernizing legacy systems with strategies such as the strangler pattern for government IT
Product, Domain & Team-Oriented Architecture
- Advantages and challenges of product, domain, and team-oriented architecture in government projects
- Designing and implementing these architectures using patterns like microservices for government systems
- Organizing and facilitating collaboration among teams for government initiatives
- Ensuring quality and consistency through automated testing and continuous integration for government applications
Data Mesh – Domain-Oriented Data Platform
- Issues with traditional data platforms in government agencies
- Introduction to the concept of data mesh for government data management
- Implementing a domain-oriented data platform that supports data discovery, access, and governance for government operations
- Utilizing technologies such as Apache Kafka, Apache Spark, and GraphQL in data mesh for government use cases
Summary and Next Steps
Requirements
- An understanding of object-oriented programming and design patterns for government applications.
- Experience with C# and .NET Core in a public sector environment.
- Basic knowledge of databases and SQL to support government systems.
Audience
- Developers
- Architects
- Analysts
21 Hours
Testimonials (1)
I really enjoyed the real examples and exercises.
