Semantics and implementation of schema evolution in object-oriented databases
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
Schema evolution in data warehouses
Knowledge and Information Systems
On Schema Evolution in Multidimensional Databases
DaWaK '99 Proceedings of the First International Conference on Data Warehousing and Knowledge Discovery
Maintaining Data Cubes under Dimension Updates
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Schema versioning in data warehouses: enabling cross-version querying via schema augmentation
Data & Knowledge Engineering - Special issue: WIDM 2004
Specification and verification of model-driven data migration
MEDI'11 Proceedings of the First international conference on Model and data engineering
Rule-Based management of schema changes at ETL sources
ADBIS'09 Proceedings of the 13th East European conference on Advances in Databases and Information Systems
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Modern Decision Support Systems (DSS) are composed of a Data Warehouse (DW) which stores all data necessary for decisional purposes, and a several Data Marts (DMs). A DM is a subject oriented extract of the DW data; it facilitates evaluating the performances of a business process. However, in practice, business processes may evolve as well as new ones may be created, consequently the DW model evolves in order to capture the changes. The maintenance of DMs due to the evolution of their DW is time-consuming, expensive and error-prone process. This paper studies the evolution of DM schemas in the case of a new table is added to the DW.