What are the best practices for implementing CQRS?
Some best practices for implementing CQRS include separating read and write models, using event sourcing, and ensuring eventual consistency.
Can you explain why separating read and write models is important?
Separating read and write models allows for optimized performance and scalability, as each can be tailored to specific needs.
What are some common pitfalls to avoid when using CQRS?
Common pitfalls include overcomplicating the architecture, neglecting eventual consistency, and not properly handling data synchronization.
How does event sourcing fit into CQRS?
Event sourcing captures all changes as events, which can be replayed to reconstruct the current state, complementing CQRS effectively.
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