Denormalisaatioa

Denormalisaatioa is a database optimization technique that involves introducing redundancy into a normalized database schema. While normalization aims to reduce data redundancy and improve data integrity by breaking down data into smaller, related tables, denormalisaatioa reverses this process to some extent. The primary goal of denormalisaatioa is to improve query performance by reducing the number of joins required to retrieve data. By duplicating certain data or combining tables, common queries can be executed more quickly. This is particularly beneficial in read-heavy applications where performance is critical.

However, denormalisaatioa comes with trade-offs. The introduction of redundancy can lead to increased storage space requirements and potential data inconsistencies. Maintaining data integrity becomes more complex, as updates to duplicated data must be applied consistently across all instances. Therefore, denormalisaatioa is typically applied selectively to specific tables or columns where performance gains outweigh the added complexity of data management. It is a strategic decision often made after performance analysis reveals bottlenecks in a normalized database design. The decision to denormalize should be carefully considered based on the application's specific needs and usage patterns.