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A measure is a numerical property of a multidimensional cube, e.g., sales price, coupled with an aggregation formula, e.g., SUM. It captures numerical information to be used for aggregate computations.
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As an example, a three-dimensional cube for capturing sales may have a Product dimension P, a Time dimension T, and a Store dimension S, capturing the product sold, the time of sale, and the store it was sold in, for each sale, respectively. The cube has two measures: DollarSales and ItemSales, capturing the sales price and the number of items sold, respectively. ItemSales can be viewed as a function: ItemSales: Dom(P) × Dom(T) × Dom(S)↦ℕ 0 that given a certain combination of dimension values returns the total number of items sold for that combination. If a dimension value corresponds to a higher level in the dimension hierarchy, e.g., a product group or even all products, the result is an aggregation of several lower-level measure values.
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Kimball R., Reeves L., Ross M., and Thornthwaite W. The Data Warehouse Lifecycle Toolkit. Wiley Computer Publishing, New York, 1998.
Pedersen T.B., Jensen C.S., and Dyreson C.E. A foundation for capturing and querying complex multidimensional data. Inf. Syst., 26(5):383–423, 2001.
Thomsen E. OLAP Solutions: Building Multidimensional Information Systems. Wiley, New York, 1997.
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© 2009 Springer Science+Business Media, LLC
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Pedersen, T. (2009). Measure. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_885
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DOI: https://doi.org/10.1007/978-0-387-39940-9_885
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-35544-3
Online ISBN: 978-0-387-39940-9
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