Ways of validating data

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.

Finally, the primary key constraint is a mixture of the unique constraint and the not null constraint meaning the no two rows can have the same values in their columns and that a column must have data.

Referential integrity is a key aspect in data integrity that is usually associated with two tables; the lookup table and the data table.

Typically, referential integrity is applied when data is inserted, deleted, or updated.

Data validation can be implemented during the design process of a database by setting data requirements for the user input to avoid errors.The key factors in data integrity are constraints, referential integrity and the delete and update options.The main types of constraints in SQL are check, unique, not null, and primary constraints.Example: If a data type is set to be ‘numeric’, then all other types, such as a character(s) will be denied with an error. By setting an input mask in a field in Microsoft Access, it controls the way data can be entered.

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For example, a secondary school student is likely to be aged between 11 and 16.

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