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In a Microservice Architecture, service data modeling is handled by decomposing a large and complex system into smaller and simpler services that perform specific functions. Each service maintains its own database to enable them to function independently without interfering with each other. Depending on the needs of the service, data can be stored in either a relational or non-relational database.
A popular approach for handling data modeling in a Microservice Architecture is to use Domain Driven Design (DDD) principles. DDD focuses on dividing a system into small, loosely coupled services, each having their own domain and data representation. The use of DDD enables developers to organize data schema into bounded contexts that reflect the business domain and also define supportive models for entities and events.
Another approach is to use Event Sourcing, where each transaction is recorded as an event that can be used to reproduce the current state of the system. This approach enables services to be built around a log of events, which can be replayed in the event of system failure.
In summary, service data modeling in a Microservice Architecture is all about designing services that are loosely coupled and maintain their own data. The use of DDD and Event Sourcing principles help developers to model services' data effectively and maintain them independently.
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