@jerad
To handle changes in duplicated data in a NoSQL database, you can consider the following approaches:
- Using event-driven architecture: Implement a system where changes made to the data are captured as events and propagated to all duplicates or related entities in the database.
- Implementing data synchronization mechanisms: Develop mechanisms to ensure that duplicated data is kept in sync and updated whenever changes are made to the original data. This can involve using background processes or triggers to detect and synchronize changes.
- Implementing conflict resolution strategies: In cases where conflicting changes are made to duplicated data, develop strategies to resolve conflicts such as last-write-wins or merging changes from multiple sources.
- Implementing a versioning system: Keep track of the version of duplicated data and use it to determine which version is the most recent or accurate. This can help in resolving conflicts and ensuring data consistency.
- Designing data models carefully: When designing the data model for duplicated data, consider factors such as data integrity, scalability, and performance to minimize the impact of changes on duplicated data.
Overall, handling changes in duplicated data in a NoSQL database requires careful planning, architecture design, and implementation of appropriate strategies to ensure data consistency and integrity.