What is the application of denormalized data in information storage systems?

Denormalized data refers to data stored with redundancy, meaning some data is duplicated in different places to speed up access and simplify queries.

The application of denormalized data in information storage systems includes:

• Improving read performance by reducing the number of joins between tables.
• Simplifying and speeding up query execution, especially in systems with a high volume of reads and relatively few updates.
• Used in systems with analytical workloads where data retrieval speed is important.

However, denormalization increases the complexity of data maintenance, as updates require ensuring the consistency of duplicated information.