2005Unpublished venueRequires access

Multidimensional Data Model the Building of Incremental Data Warehouse

Zhou Xiao-bing

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Abstract

In view of all dimensions and layers of multi-dimension analyzing at the beginning of modeling data warehouse system. A data model evolved easily, as well as corresponding modeling tools are needed for the building of incremental data warehouse. In this paper, a data model supporting model evolving is presented. The model's formalized definition, as well as it's design and impliment on RDB, is introduced. The data model separate data cubes and complicated dimension patterns, and make the measures dimensioned. The flexible structure of multi-dimensional data cube avoid rebuild data cubes caused by the change of measures and layers efficiently. The model stetisfy the requirement of the complicated and continuously changed OLAP.

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What this paper is about

In view of all dimensions and layers of multi-dimension analyzing at the beginning of modeling data warehouse system. A data model evolved easily, as well as corresponding modeling tools are needed for the building of incremental data warehouse. In this paper, a data model supporting model evolving is presented. The model's formalized definition, as well as it's design and impliment on RDB, is introduced. The data model separate data cubes and complicated dimension patterns, and make the measures dimensioned. The flexible structure of multi-dimensional data cube avoid rebuild data cubes caused by the change of measures and layers efficiently. The model stetisfy the requirement of the complicated and continuously changed OLAP.

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Available abstract

In view of all dimensions and layers of multi-dimension analyzing at the beginning of modeling data warehouse system. A data model evolved easily, as well as corresponding modeling tools are needed for the building of incremental data warehouse. In this paper, a data model supporting model evolving is presented. The model's formalized definition, as well as it's design and impliment on RDB, is introduced. The data model separate data cubes and complicated dimension patterns, and make the measures dimensioned. The flexible structure of multi-dimensional data cube avoid rebuild data cubes caused by the change of measures and layers efficiently. The model stetisfy the requirement of the complicated and continuously changed OLAP.

Key concepts: Online analytical processing, Data warehouse, Dimensional modeling, Dimension (graph theory), Computer science, Cube (algebra), Data model (GIS), Data cube

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