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Course Outline
Introduction
- What is Domain Driven Design (DDD) and its benefits?
- DDD vs other approaches
- Overview of DDD concepts and project structure
Tactical Domain-Driven Design
- Elements of a domain model
- Implementing entities, value objects, aggregates, repositories, and domain services
- Using factories, specifications, CQRS, and event sourcing
Strategic Domain-Driven Design
- Context map patterns
- Designing the domain model with event storming and domain storytelling
- Identifying and classifying subdomains
- Establishing boundaries and relationships with patterns like bounded contexts
DDD & Legacy Workshop
- Challenges and opportunities of legacy systems
- Analyzing and understanding legacy systems with tools like NDepend
- Refactoring and modernizing legacy systems using techniques such as strangler pattern
Product, Domain & Team-oriented Architecture
- Benefits and challenges of product, domain, and team-oriented architecture
- Designing and implementing such architectures with patterns like microservices
- Organizing and collaborating with teams
- Ensuring quality and consistency with automated testing and continuous integration
Data Mesh – Domain-Oriented Data
- Problems with traditional data platforms
- Introduction to data mesh
- Implementing a domain-oriented data platform supporting data discovery, access, and governance
- Technologies like Apache Kafka, Apache Spark, and GraphQL in data mesh
Summary and Next Steps
Requirements
- An understanding of object-oriented programming and design patterns
- Experience with C# and .NET Core
- Basic knowledge of databases and SQL
Audience
- Developers
- Architects
- Analysts
21 Hours
Testimonials (1)
I really enjoyed the real examples and exercises.
