Denormalisaatiolla

Denormalization is a database optimization technique used to improve the read performance of a database. It involves intentionally introducing redundancy into a database by duplicating data across multiple tables. This is done to reduce the complexity of queries and to speed up data retrieval, as it minimizes the need for joins between tables.

The process of denormalization typically involves the following steps:

1. Identifying the most frequently accessed data.

2. Duplicating this data across multiple tables to eliminate the need for joins.

3. Updating the duplicated data in all relevant tables to maintain consistency.

Denormalization is often used in data warehousing and online transaction processing (OLTP) systems where read performance is critical. However, it can lead to increased storage requirements and potential data inconsistencies if not managed properly. Therefore, it is essential to carefully consider the trade-offs between read performance and data integrity when deciding to denormalize a database.

In summary, denormalization is a strategic approach to optimizing database performance by sacrificing some level of data normalization to enhance read efficiency. It is particularly useful in scenarios where fast data retrieval is more important than maintaining strict data integrity.