Logical design for temporal databases with multiple granularities
ACM Transactions on Database Systems (TODS)
A foundation for capturing and querying complex multidimensional data
Information Systems - Data warehousing
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
The COMET Metamodel for Temporal Data Warehouses
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Advanced SQL 1999: Understanding Object-Relational, and Other Advanced Features
Advanced SQL 1999: Understanding Object-Relational, and Other Advanced Features
Fundamentals of Database Systems, Fourth Edition
Fundamentals of Database Systems, Fourth Edition
A conceptual solution for representing time in data warehouse dimensions
APCCM '06 Proceedings of the 3rd Asia-Pacific conference on Conceptual modelling - Volume 53
Hierarchies in a multidimensional model: from conceptual modeling to logical representation
Data & Knowledge Engineering - Special issue: WIDM 2004
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Temporal Data Warehouses (TDWs) allow to manage time-varying multidimensional data by joining the research of Temporal Databases and Data Warehouses. TDWs raise different issues such as temporal aggregations, multidimensional schema versioning, etc. However, very little attention from the research community has been drawn to conceptual modeling for TDWs and its subsequent logical representation. In this paper, we present a mapping transforming our conceptual model for TDW design into the conventional ER and an object-relational models. For the latter, we show some examples using the SQL:2003 standard. We include the mapping for time-varying levels, hierarchies, and measures. We also discuss the inconveniences of a pure relational representation.