Data consistency summarizes the validity, accuracy, usability and integrity of related data between applications and across an IT enterprise. This ensures that each user observes a consistent view of the data, including visible changes made by the user's own transactions and transactions of other users or processes. Data Consistency problems may arise at any time but are frequently introduced during or following recovery situations when backup copies of the data are used in place of the original data.
Various kinds of data consistency have been identified. These include Application Consistency, Transaction Consistency and Point-in-Time (PiT) Consistency.
Read more about Data Consistency: Point-in-time Consistency, Transaction Consistency, Application Consistency
Famous quotes containing the words data and/or consistency:
“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)
“All religions have honored the beggar. For he proves that in a matter at the same time as prosaic and holy, banal and regenerative as the giving of alms, intellect and morality, consistency and principles are miserably inadequate.”
—Walter Benjamin (1892–1940)