Denormalization vs. Normalization
Normalization is the process of structuring data in a way that reduces data redundancy and improves data integrity. Denormalization is the opposite. Each approach has benefits and there are scenarios that are better suited to one or the other.
This exercise is part of the course
Transform and Analyze Data with Microsoft Fabric
Hands-on interactive exercise
Turn theory into action with one of our interactive exercises
