Are you ready to violate data normalization principles to improve database performance?

Yes, in some cases, violating the principles of data normalization is justified to improve database performance. This is called denormalization.

For example, if in a normalized structure, retrieving frequently used information requires many JOIN operations, it can slow down queries. In such cases, redundant data (copies of fields) can be added to tables to speed up reading.

However, this increases the complexity of data maintenance, as you need to ensure their consistency during updates.

In summary: denormalization is a compromise between read speed and data maintenance complexity. The decision should be made based on performance requirements and application architecture.