Data Validation

Checking the quality, structure, and integrity of data before it is utilized for a business function is known as data validation. The results of data validation operations can give information for business intelligence, data analytics, or training a machine learning model. It can also be used to ensure data integrity for financial accounting or regulatory compliance. Numerous factors, such as data type, constraint, structure, consistency, and code validation, can be looked at while validating data. Each method of data validation is intended to ensure that the data satisfies the criteria for being useful. Data quality and data validation are related. A component of measuring data quality is data validation, which makes sure that a given data collection is supplied with information sources that are of the highest caliber, reliable and correct.

Learn more Web Scraping terms: