One type of data cleaning is to determine the correct value for missing data.
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Q40: Data warehouse data is less problematic if
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
Q46: Adding data acquired from outside of the
Q47: Data in the data warehouse may be
Q48: A snowflake design is a feature of
Q49: Data warehouses are not associated with the
Q50: Data loading takes place after data transformation
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