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SSDBM
1999
IEEE

An Infrastructure for Scalable Parallel Multidimensional Analysis

12 years 2 months ago
An Infrastructure for Scalable Parallel Multidimensional Analysis
Multidimensional Analysis in On-Line Analytical Processing (OLAP), and Scientific and statistical databases (SSDB) use operations requiring summary information on multi-dimensional data sets. Most common are aggregate operations along one or more dimensions of numerical data values and/or on hierarchies defined on them. Simultaneous calculation of multi-dimensional aggregates are provided by the Data Cube operator, used to calculate and store summary information on a number of dimensions. This is computed only partially if the number of dimensions is large since a few dimensions are typical for analysis over summary information. Queries may either be answered from a materialized cube or calculated on the fly. The multi-dimensionality of the underlying problem can be represented both in relational and multi-dimensional databases, the latter being a better fit when query performance is the criteria for judgement. Relational databases are scalable in size for OLAP and multidimensional an...
Sanjay Goil, Alok N. Choudhary
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1999
Where SSDBM
Authors Sanjay Goil, Alok N. Choudhary
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