FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Data Integrity characterizes how reliable the information is in terms of its physical and logical validity. Data Integrity is based on parameters such as: Accuracy.

Detailed explanation-2: -Data integrity is the overall accuracy, completeness, and consistency of data. Data integrity also refers to the safety of data in regard to regulatory compliance-such as GDPR compliance-and security.

Detailed explanation-3: -Data accuracy is one of the components of data quality. It refers to whether the data values stored for an object are the correct values. To be correct, a data values must be the right value and must be represented in a consistent and unambiguous form. For example, my birth date is December 13, 1941.

Detailed explanation-4: -Data integrity refers to the accuracy and consistency (validity) of data over its lifecycle.

Detailed explanation-5: -Validity is a data quality dimension that refers to information that doesn’t conform to a specific format or doesn’t follow business rules. A popular example is birthdays – many systems ask you to enter your birthday in a specific format, and if you don’t, it’s invalid.