Data validation is often a topic of great importance when it comes to databases.
Since information is constantly being updated, deleted, queried, or moved around, having valid data is a must.
Typically, referential integrity is applied when data is inserted, deleted, or updated.
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For example, a secondary school student is likely to be aged between 11 and 16.
The computer can be programmed only to accept numbers between 11 and 16. However, this does not guarantee that the number typed in is correct.
Example: Input masks can specify that social security numbers be entered in the form of ‘AAA"-"AA"-"AAAA’. "Validating Data in Microsoft Access | Database Solutions for Microsoft Access | uk." Database Solutions & Downloads for Microsoft Access | uk.
By using this setting the user’s input automatically formats to the specified form. Required Property: Using the required property is an easy way to avoid null values in unwanted areas. There are several different ways to validate data through Microsoft Access, some of which include: 1.Validation Rule Property: This property allows the database designer to set a validation rule, so that data inputted into the database must follow a certain rule.If the required property is set for a certain field but the user attempts to leave it blank, they will be prompted with an error message, requiring data to be entered before going any further. In computer science, data validation is the process of ensuring that data have undergone data cleansing to ensure they have data quality, that is, that they are both correct and useful.Example: Student titles such as Freshman, Sophomore, Junior, and Senior must be entered as ‘FR’, ‘SF’, ‘JR’, or ‘SR’.