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Course Outline
Introduction
- Understanding Domain-Driven Design (DDD) and its advantages.
- Comparing DDD with other development approaches.
- Overview of DDD concepts and project structure.
Tactical Domain-Driven Design
- Core elements of a domain model.
- Implementing entities, value objects, aggregates, repositories, and domain services.
- Leveraging 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 bounded contexts.
DDD & Legacy Workshop
- Challenges and opportunities associated with legacy systems.
- Analyzing legacy systems using tools like NDepend.
- Refactoring and modernizing legacy applications using the 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 teams for effective collaboration.
- Ensuring 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.
- Building a domain-oriented data platform that supports discovery, access, and governance.
- Utilizing 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
- Proficiency in C# and .NET Core
- Basic understanding of databases and SQL
Target Audience
- Developers
- Architects
- Analysts
21 Hours
Testimonials (1)
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