What is data validation and examples?
Data validation processes check for the validity of the data. Using a set of rules, it checks whether the data is within the acceptable values defined for the field or not. The system ensures the inputs stick to the set rules, for instance, the type, uniqueness, format, or consistency of the data.
What is data validation explain?
Data validation means checking the accuracy and quality of source data before using, importing or otherwise processing data. Different types of validation can be performed depending on destination constraints or objectives. Data validation is a form of data cleansing.