When should I consider denormalization in my database design?
Denormalization is useful when you need to improve read performance or simplify complex queries. It can reduce the number of joins needed.
What are the trade-offs of denormalization?
The main trade-offs include increased storage requirements and potential data anomalies, as updates may need to be applied in multiple places.
Can you give me an example of when denormalization would be beneficial?
Sure! In a reporting database where read performance is critical, denormalizing tables can speed up query times significantly.
How do I decide if I should denormalize my database?
Consider your application's read vs. write patterns. If reads are much more frequent and performance is an issue, denormalization might be a good choice.
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