Data validation is a process of ensuring that a program operates on clean, correct and useful data. Data validation provide certain well-defined guarantees for fitness, accuracy, and consistency for user/stream/data input into an application. It can designed using various methodologies, and be deployed in any of various contexts.
Different kinds of data validation
- Data type validation
It carried out on one or more simple data fields. data field is consistent with expected data type (such as number, string, etc.) - Range and constraint validation
Data is consist with a minimum/maximum range, or with a evaluating a sequence of characters - Code and Cross-reference validation
Code and cross-reference validation includes tests for data type validation, combined with one or more operations to verify the data by with supplied data or known look-up table - Structured validation
It allows for the combination of any of various basic data type validation steps, along with more complex processing steps. It can handle complex data objects.
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