What is the impact of denormalization in databases?
Denormalization can improve read performance by reducing the number of joins needed, but it may increase data redundancy.
Can you explain how it affects data integrity?
Denormalization can lead to data integrity issues since the same data may be stored in multiple places, making updates complex.
Are there specific scenarios where denormalization is beneficial?
Yes, denormalization is beneficial in read-heavy applications where performance is critical, like reporting systems.
What are the trade-offs I should consider?
The main trade-offs include increased storage requirements, potential data anomalies, and more complex update operations.
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