When should I use flattening in database design?
An example of an AI chatbot conversation about when to use flattening in database design.
When should I use flattening in database design?
Flattening in database design is useful when you want to optimize query performance and reduce complexity. It involves combining multiple related tables into a single table.
What are the pros and cons of flattening?
The pros include improved read performance and simpler queries. The cons are potential data redundancy and challenges with data integrity.
Can you give me an example of when flattening is beneficial?
Sure! If you have a reporting database where you frequently run complex queries, flattening can speed up those queries by reducing the number of joins needed.
Are there situations where I should avoid flattening?
Yes, if your data is highly normalized and you need to maintain data integrity, flattening might lead to issues like data anomalies.
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