Data warehouse data is less problematic if denormalized than operational data would be.
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Q35: Data warehouses are often referred to as
Q36: Data warehouse data is time variant or
Q37: In the OLAP environment _ refers to
Q38: A data mart is a large-scale data
Q39: Due to the nature of DSS applications,
Q41: A data warehouse administrator should have a
Q42: Interchanging the data dimensions is known as
Q43: Data cleaning or cleansing or scrubbing refers
Q44: Market basket analysis tries, for example, to
Q45: One type of data cleaning is to
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