integrity constraints - meaning and definition. What is integrity constraints
Diclib.com
ChatGPT AI Dictionary
Enter a word or phrase in any language 👆
Language:

Translation and analysis of words by ChatGPT artificial intelligence

On this page you can get a detailed analysis of a word or phrase, produced by the best artificial intelligence technology to date:

  • how the word is used
  • frequency of use
  • it is used more often in oral or written speech
  • word translation options
  • usage examples (several phrases with translation)
  • etymology

What (who) is integrity constraints - definition

MAINTENANCE OF, AND THE ASSURANCE OF THE ACCURACY AND CONSISTENCY OF, DATA OVER ITS ENTIRE LIFE-CYCLE
Integrity protection; Database integrity; Integrity constraints; Integrity constraint; Domain integrity; User-defined integrity; Data fidelity

integrity constraint         
<database> A constraint (rule) that must remain true for a database to preserve integrity. Integrity constraints are specified at database creation time and enforced by the database management system. Examples from a genealogical database would be that every individual must be their parent's child or that they can have no more than two natural parents. (1995-11-11)
Data integrity         
Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire life-cycle and is a critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data. The term is broad in scope and may have widely different meanings depending on the specific context even under the same general umbrella of computing.
Scientific integrity         
Research integrity
Scientific integrity deals with "best practices" or rules of professional practice of researchers. It stems from an OECD report of 2007, and is set in the context of the replication crisis and the fight against scientific misconduct.

Wikipedia

Data integrity

Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire life-cycle and is a critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data. The term is broad in scope and may have widely different meanings depending on the specific context – even under the same general umbrella of computing. It is at times used as a proxy term for data quality, while data validation is a prerequisite for data integrity. Data integrity is the opposite of data corruption. The overall intent of any data integrity technique is the same: ensure data is recorded exactly as intended (such as a database correctly rejecting mutually exclusive possibilities). Moreover, upon later retrieval, ensure the data is the same as when it was originally recorded. In short, data integrity aims to prevent unintentional changes to information. Data integrity is not to be confused with data security, the discipline of protecting data from unauthorized parties.

Any unintended changes to data as the result of a storage, retrieval or processing operation, including malicious intent, unexpected hardware failure, and human error, is failure of data integrity. If the changes are the result of unauthorized access, it may also be a failure of data security. Depending on the data involved this could manifest itself as benign as a single pixel in an image appearing a different color than was originally recorded, to the loss of vacation pictures or a business-critical database, to even catastrophic loss of human life in a life-critical system.