What is the difference between normalization and denormalization?
- Denormalization is the process of adding redundant data to a database for performance reasons.
- Denormalization is the process of removing redundant data to improve database performance.
- Normalization is the process of organizing data to minimize redundancy and dependency by dividing large tables into smaller ones.
- Normalize a database to organize its structure and minimize redundancy.
Normalization is the process of organizing data to minimize redundancy and dependency by dividing large tables into smaller ones. Denormalization, on the other hand, involves adding redundant data to a database for performance reasons, often at the expense of data integrity and storage efficiency. This can lead to faster query performance but may increase the complexity of data management and maintenance.
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