University database administrators have some challenges when it comes to handling data problems. Here are a few of those challenges:
Insertion Anomalies: It can be hard to add new information without also including extra data that doesn’t belong.
Deletion Anomalies: Sometimes, when they delete records, they accidentally lose important information.
Update Anomalies: When they change one piece of data, it might not match the others, which can cause confusion.
These problems mostly happen because there is too much repeated information. This is why using normalization is really important. It helps keep the data accurate and running smoothly.
University database administrators have some challenges when it comes to handling data problems. Here are a few of those challenges:
Insertion Anomalies: It can be hard to add new information without also including extra data that doesn’t belong.
Deletion Anomalies: Sometimes, when they delete records, they accidentally lose important information.
Update Anomalies: When they change one piece of data, it might not match the others, which can cause confusion.
These problems mostly happen because there is too much repeated information. This is why using normalization is really important. It helps keep the data accurate and running smoothly.