Building the data warehouse (2nd ed.)
Building the data warehouse (2nd ed.)
A Taxonomy for Schema Versioning Based on the Relational and Entity Relationship Models
ER '93 Proceedings of the 12th International Conference on the Entity-Relationship Approach: Entity-Relationship Approach
Changes of Dimension Data in Temporal Data Warehouses
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
The COMET Metamodel for Temporal Data Warehouses
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Data Management for Federated Biobanks
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Managing and querying versions of multiversion data warehouse
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
A tree comparison approach to detect changes in data warehouse structures
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Metadata management in a multiversion data warehouse
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, COA, and ODBASE - Volume Part II
Managing evolution of data warehouses by means of nested transactions
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
Season queries on a temporal multidimensional model for OLAP
Mathematical and Computer Modelling: An International Journal
Temporal aggregation on user-defined granularities
Journal of Intelligent Information Systems
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Following the paradigm of on-line analytical processing (OLAP) every representation of business objects in management support systems is multidimensional. Dynamic changes of business structures like consolidations have to be modeled in the data warehouse framework. For reasons of consistency in analytical applications it is necessary to add temporal components to the data model. Objects and relations between objects will be provided with time stamps corresponding to known methods of temporal data storage. This enhancement of the OLAP-approach allows even after changes of structural data (dimensions) an appropriate comparative analysis between arbitrary periods. But any access to multidimensional cubes make it necessary to evaluate a meta cube.