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.
Cet exercice fait partie du cours
Transform and Analyze Data with Microsoft Fabric
Exercice interactif pratique
Passez de la théorie à la pratique avec l’un de nos exercices interactifs
