What are some examples of denormalization in SQL?
Denormalization is the process of optimizing the read performance of a database by adding redundant data. For example, in a sales database, you might store customer information directly in the orders table instead of having a separate customers table.
Can you give me another example?
Sure! In a product catalog, instead of having a separate table for product categories, you could include the category name directly in the products table. This reduces the need for joins when querying.
What are the benefits of denormalization?
The main benefits include improved query performance, reduced complexity in queries, and faster data retrieval, especially for read-heavy applications.
Are there any downsides to denormalization?
Yes, denormalization can lead to data redundancy, increased storage requirements, and potential data inconsistency if not managed properly.
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