What is denormalization and why is it used in databases?
Denormalization is the process of combining tables in a database to reduce the complexity of queries and improve read performance.
How does denormalization specifically affect performance?
Denormalization can enhance read performance by reducing the number of joins needed, but it may increase write times and data redundancy.
Are there any downsides to denormalization?
Yes, while it can speed up read operations, it can lead to data anomalies and increased storage requirements due to redundancy.
When should I consider denormalization in my database design?
Consider denormalization when read performance is critical, and your application has a high volume of read operations compared to writes.
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