ROLAP organizes and analyzes data as an n-dimensional cube. The ROLAP cube can be conceptually thought of as a common spreadsheet with two extensions: (1) support for multiple dimensions and (2) support for multiple concurrent users.
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Q1: Data mining is a set of activities
Q2: A synonym for data mining is information
Q3: Data mining is a business solution, not
Q4: One of the primary reasons for the
Q5: The broad category of software decision-making technology
Q7: One of the primary advantages of ROLAP
Q8: MOLAP provides support for concurrent users.
Q9: Sparcity can significantly increase the storage requirements
Q10: MOLAP is well-suited to handle large numbers
Q11: ROLAP databases typically contain both summary and
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