Validation checks provide a critical form of inspection and validation for computer operating systems. When a computer receives any form of data input, a validation check is used to ensure that the data received matches the specific parameter type required by the application receiving it. Although validation checks do not determine whether received data is accurate, they act as a much-needed safeguard against incompatible values that could cause a program or operating system to crash.
In today's wildly diverse computer ecosystem, validation checks are incorporated into a variety of applications and can be used to optimize workflow and general efficiency in a diverse array of settings. With that in mind, taking the time to explore a few of the more popular validation checks could add additional context to this essential facet of modern computing.
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Exploring Data Verification Examples
If you have filled out any online forms in the past several years, you likely have noticed that these forms are not accepted unless form fields marked as "required" are completed. This is an excellent example of a required field validation. This particular validation check prohibits a form from being accepted for processing until all required fields are completed. This can be particularly useful in situations where forms are directly linked to a database or other large data archive.
Another common example of a validation check is known as a range validation. Range validations are used to ensure that data received via input matches the expected range limitations imposed by the application. For example, if a form field only accepts values between 1 and 99, a range validation rejects the number 100. Range validations are an excellent tool for guaranteeing consistency across a wide range of users and input values.
Assessing Other Types of Data Validation
A pattern-matching validation check is also considered an integral element of modern application and web development. Pattern-matching validation checks compare data that is entered to a preassigned template, guaranteeing that the data received is compatible with the formatting required by the application. An excellent example of pattern-matching validation is found with email addresses. If, for example, a pattern-matching validation check has been used to ensure that email addresses input through a form include the "@domain.com" suffix, any information that does not comply with this template is rejected.
One of the most basic and simultaneously important forms of data validation checks is known as numeric validation. Here, data received by a form or other application is checked to ensure that it is either a numeric or alphabetic value depending upon the specific requirements of the form itself. If an incompatible form of data is input, it is rejected by the validation check.
As you can see, data validation checks help facilitate the bulk of digital engagement today. These crucial gatekeepers help ensure the seamless operation of many applications in the modern digital environment.