What are the best practices for using multi-model databases?
When using multi-model databases, it's essential to define your data models clearly, optimize for performance, and ensure data consistency across models.
Can you explain how to optimize performance in these databases?
To optimize performance, consider indexing strategies, query optimization, and caching frequently accessed data.
What are some common use cases for multi-model databases?
Common use cases include applications that require both relational and non-relational data, such as content management systems and IoT applications.
How do I ensure data consistency across different models?
Implementing transactions, using event sourcing, and maintaining a single source of truth can help ensure data consistency.
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