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  2. Data integrity - Wikipedia

    en.wikipedia.org/wiki/Data_integrity

    An example of a data-integrity mechanism is the parent-and-child relationship of related records. If a parent record owns one or more related child records all of the referential integrity processes are handled by the database itself, which automatically ensures the accuracy and integrity of the data so that no child record can exist without a parent (also called being orphaned) and that no ...

  3. Parkerian Hexad - Wikipedia

    en.wikipedia.org/wiki/Parkerian_Hexad

    Integrity refers to being correct or consistent with the intended state of information. Any unauthorized modification of data, whether deliberate or accidental, is a breach of data integrity. For example, data stored on disk are expected to be stable – they are not supposed to be changed at random by problems with a disk controller. Similarly ...

  4. Data corruption - Wikipedia

    en.wikipedia.org/wiki/Data_corruption

    Data corruption refers to errors in computer data that occur during writing, reading, storage, transmission, or processing, which introduce unintended changes to the original data. Computer, transmission, and storage systems use a number of measures to provide end-to-end data integrity, or lack of errors.

  5. Referential integrity - Wikipedia

    en.wikipedia.org/wiki/Referential_integrity

    Referential integrity is a property of data stating that all its references are valid. In the context of relational databases , it requires that if a value of one attribute (column) of a relation (table) references a value of another attribute (either in the same or a different relation), then the referenced value must exist.

  6. Database normalization - Wikipedia

    en.wikipedia.org/wiki/Database_normalization

    Database normalization is the process of structuring a relational database accordance with a series of so-called normal forms in order to reduce data redundancy and improve data integrity. It was first proposed by British computer scientist Edgar F. Codd as part of his relational model .

  7. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    The term integrity encompasses accuracy, consistency and some aspects of validation (see also data integrity) but is rarely used by itself in data-cleansing contexts because it is insufficiently specific. (For example, "referential integrity" is a term used to refer to the enforcement of foreign-key constraints above.)

  8. Checksum - Wikipedia

    en.wikipedia.org/wiki/Checksum

    A checksum is a small-sized block of data derived from another block of digital data for the purpose of detecting errors that may have been introduced during its transmission or storage. By themselves, checksums are often used to verify data integrity but are not relied upon to verify data authenticity. [1]

  9. Data Integrity Field - Wikipedia

    en.wikipedia.org/wiki/Data_Integrity_Field

    Data Integrity Field (DIF) is an approach to protect data integrity in computer data storage from data corruption. It was proposed in 2003 by the T10 subcommittee of the International Committee for Information Technology Standards. [1] A similar approach for data integrity was added in 2016 to the NVMe 1.2.1 specification. [2]