The batch total is entered and the computer checks that the total is correct, e.g., add the 'Total Cost' field of a number of transactions together. If order does not exist for a "customer" record then it must be either changed to "seed" or the order must be created.This type of rule can be complicated by additional conditions.
The rules may be implemented through the automated facilities of a data dictionary, or by the inclusion of explicit application program validation logic.
Data validation is intended to provide certain well-defined guarantees for fitness, accuracy, and consistency for any of various kinds of user input into an application or automated system.
The simplest kind of data type validation verifies that the individual characters provided through user input are consistent with the expected characters of one or more known primitive data types; as defined in a programming language or data storage and retrieval mechanism.
For example, many database systems allow the specification of the following primitive data types: 1) integer; 2) float (decimal); or 3) string.
A validation process involves two distinct steps: (a) Validation Check and (b) Post-Check action.
The check step uses one or more computational rules (see section below) to determine if the data is valid.
Such complex processing may include the testing of conditional constraints for an entire complex data object or set of process operations within a system.
Checks to ascertain that only expected characters are present in a field.
In computer science, data validation is the process of ensuring that a program operates on clean, correct and useful data.