What are the disadvantages of a denormalized table/entity?

Disadvantages of a denormalized table or entity:

• Data redundancy: the same data may be stored in multiple places, increasing the volume of stored information.

• Update difficulties: when data changes, it needs to be updated in all places, which increases the risk of errors and inconsistencies.

• Potential anomalies during updates: for example, updates, inserts, or deletions can lead to data inconsistency.

• Scaling difficulties: due to redundancy, the load on the storage and processing system may increase.

• Decreased readability and maintainability: the data structure becomes less transparent, complicating understanding and support.

Denormalization is used to optimize reading and improve performance but requires careful control of data integrity.