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Course Outline
Introduction
- Understanding Domain-Driven Design (DDD) and its benefits.
- Comparing DDD with other development approaches.
- Overview of DDD concepts and project structure.
Tactical Domain-Driven Design
- Key elements of a domain model.
- Implementing entities, value objects, aggregates, repositories, and domain services.
- Utilizing factories, specifications, CQRS, and event sourcing.
Strategic Domain-Driven Design
- Understanding context map patterns.
- Designing domain models through event storming and domain storytelling.
- Identifying and classifying subdomains.
- Establishing boundaries and relationships using patterns like bounded contexts.
DDD & Legacy Systems Workshop
- Challenges and opportunities associated with legacy systems.
- Analyzing and understanding legacy codebases 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 these architectures using patterns like microservices.
- Strategies for team organization and collaboration.
- Maintaining quality and consistency through automated testing and continuous integration.
Data Mesh – Domain-Oriented Data
- Limitations of traditional data platforms.
- Introduction to the data mesh paradigm.
- Implementing a domain-oriented data platform to support data discovery, access, and governance.
- Leveraging technologies such as Apache Kafka, Apache Spark, and GraphQL within data mesh.
Summary and Next Steps
Requirements
- Familiarity with object-oriented programming and design patterns.
- Experience working with C# and .NET Core.
- Basic understanding of databases and SQL.
Target Audience
- Developers
- Architects
- Analysts
21 Hours
Testimonials (1)
That we could you real life examples