Final answer:
The process of checking and rechecking the quality of data to ensure it is complete, accurate, secure, and consistent is known as data validation.
Step-by-step explanation:
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.
Data validation involves various methods and techniques to verify the integrity of the data, including:
- Checking for completeness: ensuring all necessary data fields are filled in.
- Performing accuracy checks: comparing the data to known standards or conducting checks for outliers or inconsistencies.
- Implementing security measures: protecting the data from unauthorized access, loss, or corruption.
- Ensuring consistency: verifying that the data follows predefined rules and standards.