Describe a scenario where Entity Framework must handle real-time data synchronization in a distributed environment.
- Employing CDC (Change Data Capture) mechanisms to capture and replicate changes across distributed databases
- Implementing a publish-subscribe pattern where changes made in one database are propagated to subscribers in real-time
- Using a message broker like Apache Kafka to stream changes from Entity Framework to subscribers in real-time
- Utilizing Entity Framework Core's Change Tracking feature to capture modifications and propagate them asynchronously
Real-time data synchronization in a distributed environment requires mechanisms to capture and propagate changes promptly. Entity Framework's Change Tracking feature can capture modifications, allowing for asynchronous propagation. Employing a publish-subscribe pattern or CDC mechanisms can ensure changes are replicated across distributed databases in near real-time.
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