Database Design: Normalization vs Denormalization
Database Design: Normalization vs Denormalization Normalization and denormalization are two guiding choices in database design. Normalization aims to reduce data duplication by splitting information into related tables. This keeps data consistent and makes updates easy, but it can slow reads because you often need several joins to assemble a full picture. Denormalization blends related data back into fewer tables to speed up reads. It can simplify queries and improve performance for reports, but it raises the risk of inconsistency and increases the cost of writes. ...