Data validation
Data validation checks data against defined requirements such as format, required fields or permitted value ranges.
Check input against defined rules
Data validation checks whether data meets certain requirements. These may include type, format, required information and permitted values. In a fictional example, a service form must contain a date in the agreed format and a job identifier. A formally valid date does not prove that the visit actually occurred.
Early checking in the form helps users correct input. The processing server must also enforce relevant rules because input can bypass the interface. Validation replaces neither permission checks nor business clarification. On rejection, explain which input needs correcting and preserve other entries where intended so that correction remains possible.
Sources
Related terms
- Business ruleA business rule describes a business condition or decision that governs how an operation is handled.
- Unique keyA unique key constrains values or combinations so they cannot occur more than once within the defined data scope.
- Foreign keyA foreign key protects a defined reference between records through matching key values.
- Legacy systemAn existing system still in use, with technical and business dependencies accumulated over time.
- Multi-tenancyMulti-tenancy supports separate customer or group scopes in one solution. A tenant is not automatically one person or one database.
- Browser cacheThe browser cache stores suitable HTTP responses for later use. Reuse and revalidation follow the applicable rules.
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