Data
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Data integrity is the physical and logical validity of data. It is the opposite of data corruption — data that becomes damaged or logically invalid.Physical ValidityData can be physically damaged due to defects on data storage devices or incidents such as disrupted communications.
Logical ValidityLogical validity is data that correctly conforms to its definition and structure. Errors in data processing or entry can result in logically invalid data such as incorrect foreign key relationships between entities.End-to-endData integrity applies end-to-end over the entire lifecycle of data. In other words, it applies to the operational aspects of data such as processes, integration and user interfaces. For example, data may be correct in one system but incorrect in another due to integration errors.
Data Integrity vs Data QualityData integrity is one aspect of data quality. Other aspects of data quality include availability, authenticity, non-repudiation and confidentiality.
Data
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