In computing, data integrity refers to maintaining and assuring the accuracy and consistency of data over its entire life-cycle, and is an especially important feature of a database or RDBMS system. Data warehousing and business intelligence in general demand the accuracy, validity and correctness of data despite hardware failures, software bugs or human error. Data that has integrity is identically maintained during any operation, such as transfer, storage or retrieval.
All characteristics of data, including business rules, rules for how pieces of data relate, dates, definitions and lineage must be correct for its data integrity to be complete. When functions operate on the data, the functions must ensure integrity. Examples include transforming the data, storing history and storing metadata.
Read more about Data Integrity: Databases, Data Storage
Famous quotes containing the words data and/or integrity:
“Mental health data from the 1950’s on middle-aged women showed them to be a particularly distressed group, vulnerable to depression and feelings of uselessness. This isn’t surprising. If society tells you that your main role is to be attractive to men and you are getting crow’s feet, and to be a mother to children and yours are leaving home, no wonder you are distressed.”
—Grace Baruch (20th century)
“I expect a time when, or rather an integrity by which, a man will get his coat as honestly and as perfectly fitting as a tree its bark. Now our garments are typical of our conformity to the ways of the world, i.e., of the devil, and to some extent react on us and poison us, like that shirt which Hercules put on.”
—Henry David Thoreau (1817–1862)