Data validation

1. What is data validation?
2. What are the 3 types of data validation?
3. What is data validation and examples?

What is data validation?

Data validation is the practice of checking the integrity, accuracy and structure of data before it is used for a business operation. Data validation operation results can provide data used for data analytics, business intelligence or training a machine learning model.

What are the 3 types of data validation?

The following are the common Data Validation Types:

Range Check. Format Check. Consistency Check.

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.