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Duration 21 hours
Course Outline
Introduction
- Defining Domain-Driven Design (DDD) and its key advantages
- Comparing DDD with alternative architectural approaches
- Overview of essential DDD concepts and project structures
Tactical Domain-Driven Design
- Core elements that constitute a domain model
- Building entities, value objects, aggregates, repositories, and domain services
- Applying patterns such as factories, specifications, CQRS, and event sourcing
Strategic Domain-Driven Design
- Exploring context map patterns
- Crafting domain models through event storming and domain storytelling
- Identifying and categorizing subdomains
- Defining boundaries and inter-service relationships using bounded contexts
DDD & Legacy Workshop
- Navigating the challenges and opportunities within legacy systems
- Analyzing legacy codebases using tools like NDepend
- Refactoring and modernizing systems using techniques such as the strangler pattern
Product, Domain & Team-oriented Architecture
- Evaluating the benefits and complexities of product, domain, and team-centric architectures
- Designing and deploying these architectures using patterns like microservices
- Optimizing team organization and collaboration flows
- Guaranteeing quality and consistency through automated testing and continuous integration
Data Mesh – Domain-Oriented Data
- Addressing limitations of traditional data platforms
- Foundations of data mesh
- Building a domain-oriented data platform for discovery, access, and governance
- Integrating technologies such as Apache Kafka, Apache Spark, and GraphQL into data mesh frameworks
Summary and Next Steps
Requirements
- Familiarity with object-oriented programming and standard design patterns
- Practical experience working with C# and .NET Core
- Foundational knowledge of database management and SQL
Target Audience
- Developers
- Architects
- Business Analysts
Testimonials (1)
That we could you real life examples
