What is denormalization in databases?
An example of an AI chatbot conversation about denormalization in databases.
What is denormalization in databases?
Denormalization is the process of intentionally introducing redundancy into a database to improve read performance.
Can you give me an example of denormalization?
Sure! For instance, in a sales database, instead of having separate tables for customers and orders, you might combine them into one table to speed up queries.
What are the pros and cons of denormalization?
The pros include faster read queries and simpler data retrieval, while the cons involve increased storage requirements and potential data anomalies.
When should I consider denormalization?
Consider denormalization when your application requires high read performance and can tolerate some data redundancy.
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