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Beyond Anemic Domain Models: Bridging the Gap Between Data and Behavior

In this article, Rico Fritzsche discusses the importance of Domain-Driven Design (DDD) and how it can overcome the limitations of Anemic Domain Models. DDD emphasizes blending data and behavior to create more cohesive domain models, reflecting real-world entities like bank accounts. By encapsulating both data and behavior in a single entity, DDD provides a more realistic representation of the domain. Fritzsche showcases a code example of a bank account entity to illustrate this concept. This article explores the evolution of software design, the benefits of DDD, and the impact it can have on building robust and resilient software systems.