Data Denormalization

Data denormalization is a process used in database design where some of the structured data is intentionally duplicated or combined to improve the speed of data retrieval. While normalized databases minimize redundancy and maintain data integrity, denormalization reduces the need for complex joins during queries, making data access faster. This approach is often used in systems where quick read performance is more important than minimizing storage space or ensuring absolute consistency. Essentially, denormalization trades some redundancy and potential consistency challenges for enhanced efficiency in retrieving data.