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Course Outline

Introduction

  • Understanding Domain-Driven Design (DDD) and its advantages
  • DDD compared to other 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

  • Context map patterns
  • Designing the domain model through event storming and domain storytelling
  • Identifying and classifying subdomains
  • Establishing boundaries and relationships using patterns like bounded contexts

DDD and Legacy Systems Workshop

  • Challenges and opportunities associated with legacy systems
  • Analyzing and understanding legacy systems using tools like NDepend
  • Refactoring and modernizing legacy systems via techniques such as the strangler pattern

Product, Domain & Team-Oriented Architecture

  • Benefits and challenges of product, domain, and team-oriented architecture
  • Designing and implementing such architectures using patterns like microservices
  • Organizing teams and fostering collaboration
  • 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 that supports data discovery, access, and governance
  • Technologies involved in data mesh, such as Apache Kafka, Apache Spark, and GraphQL

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

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