In databases, change data capture (CDC) is a set of software design patterns used to determine (and track) the data that has changed so that action can be taken using the changed data. Also, Change data capture (CDC) is an approach to data integration that is based on the identification, capture and delivery of the changes made to enterprise data sources.
CDC solutions occur most often in data-warehouse environments since capturing and preserving the state of data across time is one of the core functions of a data warehouse, but CDC can be utilized in any database or data repository system.
Read more about Change Data Capture: Methodology, Confounding Factors
Famous quotes containing the words change, data and/or capture:
“Every great love brings with it the cruel idea of killing the object of its love so that it may be removed once and for all from the wicked game of change: for love dreads change even more than annihilation.”
—Friedrich Nietzsche (1844–1900)
“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)
“This is no rune nor symbol,
what I mean is it is so simple
yet no trick of the pen or brush
could capture that impression;
what I wanted to indicate was
a new phase, a new distinction of colour.”
—Hilda Doolittle (1886–1961)