Schema evolution in data warehouses
Knowledge and Information Systems
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Changes of Dimension Data in Temporal Data Warehouses
DaWaK '01 Proceedings of the Third International Conference on Data Warehousing and Knowledge Discovery
Supporting Dimension Updates in an OLAP Server
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Efficient OLAP Operations in Spatial Data Warehouses
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
Indexing Spatio-Temporal Data Warehouses
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Creation and management of versions in multiversion data warehouse
Proceedings of the 2004 ACM symposium on Applied computing
Historical spatio-temporal aggregation
ACM Transactions on Information Systems (TOIS)
Data Warehouses And Olap: Concepts, Architectures And Solutions
Data Warehouses And Olap: Concepts, Architectures And Solutions
Indexing of Spatio-Temporal Telemetric Data Based on Adaptive Multi-Dimensional Bucket Index
Fundamenta Informaticae
Extended cascaded star schema and ECOLAP operations for spatial data warehouse
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Managing and querying versions of multiversion data warehouse
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
On efficient storing and processing of long aggregate lists
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Multiversion spatio-temporal telemetric data warehouse
ADBIS'09 Proceedings of the 13th East European conference on Advances in Databases and Information Systems
Multiversion spatio-temporal telemetric data warehouse
ADBIS'09 Proceedings of the 13th East European conference on Advances in Databases and Information Systems
OLAP-Like analysis of time point-based sequential data
ER'12 Proceedings of the 2012 international conference on Advances in Conceptual Modeling
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One of the crucial problems characterizing current data warehouses is the implicit assumption of dimension invariance with respect to the time dimension. This assumption inhibits the proper treatment of changes in dimension data. Meanwhile, we can give examples indicating that it is necessary to take into consideration the modifications of dimension data - ignoring such changes leads to incorrect analysis which then results in wrong decisions. This article describes the implemented temporal telemetric data warehouse system, which provides the user with the ability to query about the time interval embracing many structure versions. The system also informs the user about modifications which occurred in separated structure versions.