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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.
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.
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.
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.
Consequently, the inserts and deletes allowed by referential integrity come from data located in the lookup table.
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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.
Search for ways of validating data:
There are several different ways to validate data through Microsoft Access, some of which include: 1.