What are the best practices for data modeling?
Some best practices include defining clear objectives, using normalization, and ensuring data integrity.
Can you explain normalization in more detail?
Normalization is the process of organizing data to reduce redundancy and improve data integrity.
What are the different levels of normalization?
There are several normal forms, including 1NF, 2NF, 3NF, and BCNF, each addressing specific types of redundancy.
How do I choose the right data model for my project?
Consider factors like data complexity, scalability needs, and the specific use cases of your application.
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