Data integrity Page

Data integrity

Return to Integrity, System Integrity, Confidentiality, Integrity, and Availability (CIA), Architectural Characteristics - The "-ilities", Software Architecture, Security

Data integrity refers to the data accuracy, data consistency, and data reliability of data stored in a system throughout its lifecycle. It ensures that data remains unchanged and retains its intended meaning and validity over time. Data integrity is maintained through various mechanisms, including data validation, error checking, and encryption, to prevent unauthorized access, corruption, or loss of data. This property is essential for ensuring that data is reliable and trustworthy for decision-making, analysis, and business processes. Data integrity constraints, such as primary keys, foreign keys, and check constraints, enforce rules to maintain the consistency and correctness of data stored in databases. Additionally, cryptographic techniques, such as hashing and digital signatures, can be used to verify the integrity of data during transmission and storage. By preserving data integrity, organizations can trust the accuracy and reliability of their data, enabling them to make informed decisions and achieve their business objectives effectively. [https://en.wikipedia.org/wiki/Data_integrity]

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