Abstract:
A computer readable storage medium includes a data analyzer to build population sets for dimensions of a multi-dimensional data source and to identify intersections of population sets so as to form density metadata. A query processor accesses the density metadata while processing a query.
Abstract:
A computer readable storage medium includes a data analyzer to build population sets for dimensions of a multi-dimensional data source and to identify intersections of population sets so as to form density metadata. A query processor accesses the density metadata while processing a query.
Abstract:
A computer readable storage medium includes executable instructions to define a first semantic domain and specify a second semantic domain. The first semantic domain and second semantic domain are combined to establish a third semantic domain. At least one base dimension is identified as a data model object for the third semantic domain. At least one base measure is formed as a data model object for the third semantic domain.
Abstract:
A computer readable storage medium includes executable instructions to define a semantic domain describing a data source. At least one base dimension is established as a data model object for the semantic domain. At least one base measure is specified as a data model object for the semantic domain. At least one of a calculated measure or a calculated dimension is described as a data model object for the semantic domain.
Abstract:
A computer readable medium includes executable instructions to receive a query based on a semantic abstraction that describes at least one underlying data source. The semantic abstraction includes at least one nested semantic abstraction. The query is analyzed to produce data source specific queries. The data source specific queries are analyzed to produce results, which are returned.
Abstract:
The invention includes a computer readable medium with executable instructions to receive a query based on nested semantic abstractions for corresponding data sources. Data source specific queries are constructed based on the query by executing the query against the nested semantic abstractions. Each data source specific query is associated with an underlying data source described by a nested semantic abstraction. The data source specific queries are executed to produce results and the results are returned.