What Is Data Validation?

Data validation is analogous to having a bouncer at a nightclub; however, instead of verifying IDs, they validate the data you provided. In the same way that a doorman ensures that only the right people can get in, data validation ensures that only the correct information can get in. Data validation is a procedure used in computer programming to ensure that the data submitted into a system is accurate and satisfies particular requirements. One example of data validation is checking a person's age to ensure they are above the legal drinking age before allowing them to enter a nightclub. This makes the data more likely to be consistent, accurate, and up to the system's needed standards. In data validation, "validation rules" is a crucial technical term. Validation rules are a collection of requirements to be followed for data to be legitimate. These rules are analogous to a bouncer's rules while verifying patrons' identification at a nightclub. A validation rule could, for instance, stipulate that a person's name must be written in a particular format or that their phone number must be of a specific length. "Input validation" is yet another crucial technical keyword. The term "input validation" refers to validating data when entered into the system, analogous to how a bouncer checks patrons' identification at the entrance to a club. This helps prevent erroneous data from entering the system and generating difficulties further down the line, such as a fake ID causing trouble at a nightclub. Identifying mistakes before their incorporation into a system is one further way in which data validation contributes to an increase in the system's overall level of safety. Data validation helps ensure mistakes don't cause problems in the system, like how a bouncer stops troublemakers from getting into a nightclub.