Within the data warehouse model, the external databases could include competitor information, industry information, and stock market analysis.
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Q10: Data warehouses struggle with combining too much
Q17: The primary purpose of a data warehouse
Q24: The primary purpose of a data warehouse
Q27: The complete removal of dirty data from
Q31: One example of a data aggregation is
Q35: According to Gartner Inc., dirty data is
Q37: Data aggregation is the collection of data
Q39: Within the data warehouse model, the internal
Q51: Duplicate data, inaccurate data, misleading data, and
Q53: ETL stands for extraction, transformation, and loading.
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