The process of analyzing large data sets in a data warehouse to find non-obvious patterns is called:

The process of analyzing large data sets in a data warehouse to find non-obvious patterns is called:

The process of analyzing large data sets in a data warehouse to find non-obvious patterns is called:

A.
Data scanning

B.
Data administration

C.
Derived data

D.
Data mining

Explanation:

For example, mining of consumer-related data may show a correlation between the number of
children under four years old in a household and the fathers preferences in aftershave lotion.
*Answer Data scanning is a distracter. *Data administrationdescribes the degree of managements
dedication to the data warehouse concept. *Answer derived data, is data that is obtained through
the processing of raw data.



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Dominick Orabuena

Dominick Orabuena

Very well written information. It will be helpful to everyone who employess it, including myself. Keep up the good work – looking forward to more posts.

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