What does data integrity refer to in a database?

Data integrity refers to the accuracy and consistency of stored data in a database. This concept is essential because it ensures that the data remains trustworthy and reliable throughout its lifecycle. Good data integrity means that the information in the database is not only correct at the time of entry but also remains correct as it is updated, modified, or deleted.

Ensuring data integrity involves various practices, such as validating the data entered, establishing constraints like primary keys and foreign keys, and implementing data normalization processes. When data integrity is maintained, users can confidently rely on the database's outputs, making informed decisions based on accurate information.

The other options address different aspects of databases. For example, handling errors relates more to fault tolerance and data recovery, while speed of retrieval pertains to database performance. Additionally, storage capacity speaks to the limits of a database's physical resources rather than the quality of the data itself.