Data Scrubbing is
(A) A process to upgrade the quality of data after it is moved into a data warehouse.
(B) A process to upgrade the quality of data before it is moved into a data warehouse.
(C) A process to lead the data in the warehouse and to create the necessary indexes.
(D) A process to reject data from the data warehouse and to create necessary indexes.
Explanation: Data scrubbing, also called data cleansing, is the process of amending or removing data in a database that is incorrect, incomplete, improperly formatted, or duplicated.
The system should offer an architecture that can cleanse data, record quality events and measure/control quality of data in the data warehouse.
Option (B) is correct.
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