Description: Denormalization is a process in database design that aims to optimize read performance by introducing redundant data. Unlike normalization, which focuses on eliminating redundancy and ensuring data integrity, denormalization allows certain data to be stored in multiple locations to facilitate quick and efficient access. This approach is particularly useful in systems where read queries are more frequent than write operations, such as in data analytics and reporting systems. By adding redundancy, query response times can be reduced, as the need for multiple joins between tables is minimized. However, denormalization also carries risks, such as the potential for data inconsistencies and increased complexity in update operations. Therefore, it is crucial for database designers to carefully evaluate when and how to apply denormalization, considering the balance between performance and data integrity.
