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Inconsistent data in a relational database is most likely a result of the:
a. |
Delete anomaly |
|
b. |
Update anomaly |
|
c. |
Insert anomaly |
|
d. |
None of the above |
There are three types of anomalies that occurs when the database is not normalised. Namely
1. Insert anomaly
2. Update anomaly
3. Delete anomaly.
Insert anomaly is a result of inserting data in a record that does not exist at all.
Delete anomaly is a result of deleting partial data but some part is left undeleted because of unawareness or data is saved somewhere else.
Whereas update anomaly is a result of scattered data which is not linked to each other properly. This leads to inconsistent data.
Therefore answer is,
Inconsistent data in a relational database is most likely a result of the
b. Update anomaly.
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