Anomalies in databases

Anomalies in databases refer to problems that can arise when storing, retrieving, or manipulating data. There are three main types: **insertion anomalies**, where new data can’t be added without redundant information; **deletion anomalies**, where removing some data inadvertently loses important related information; and **update anomalies**, where changes to data require multiple updates, risking inconsistency. These issues often occur in poorly designed databases, making it harder to maintain data integrity and accuracy. Good database design, often using normalization techniques, helps minimize these anomalies, ensuring data remains reliable and organized.