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