Suppose that a data warehouse contains 20 dimensions, each with about five levels of granularity. (a) Users are mainly interested in four particular dimensions, each having three frequently accessed levels for rolling up and drilling down. How would you design a data cube structure to support this preference efficiently? (b) At times, a user may want to drill through the cube, down to the raw data for one or two particular dimensions. How would you support this feature?

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Suppose that a data warehouse contains 20 dimensions, each with about five levels of granularity.
(a) Users are mainly interested in four particular dimensions, each having three frequently accessed levels for
rolling up and drilling down. How would you design a data cube structure to support this preference
efficiently?
(b) At times, a user may want to drill through the cube, down to the raw data for one or two particular
dimensions. How would you support this feature?
Transcribed Image Text:Suppose that a data warehouse contains 20 dimensions, each with about five levels of granularity. (a) Users are mainly interested in four particular dimensions, each having three frequently accessed levels for rolling up and drilling down. How would you design a data cube structure to support this preference efficiently? (b) At times, a user may want to drill through the cube, down to the raw data for one or two particular dimensions. How would you support this feature?
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