denormalizációt

Denormalizációt is a database optimization technique that involves intentionally introducing redundancy into a normalized database structure. While normalization aims to reduce data redundancy and improve data integrity by dividing data into multiple, related tables, denormalization reverses this process. It combines data from several tables into a single table, often by adding duplicate or derived columns. The primary goal of denormalizációt is to improve query performance. By reducing the need for complex joins across multiple tables, denormalized databases can retrieve data more quickly, which is particularly beneficial for read-heavy applications or when dealing with large datasets. However, this performance gain comes at a cost. Denormalization increases the likelihood of data inconsistencies, as redundant data must be updated in multiple places. This can lead to higher storage requirements and more complex data maintenance procedures. Therefore, denormalizációt is typically applied selectively to specific parts of a database where performance bottlenecks are identified and the trade-off between performance and data integrity is deemed acceptable. It is often considered during the later stages of database design or as a performance tuning measure.