Handling Instance Changes in a Multiversion Trajectory Data Warehouse
Wided Oueslati, Jalel Akaichi · INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences · 2011
Correct strategic decisions can keep a business alive. Therefore, a Data Warehouse (DW) which is considered as the core component of the modern decision support systems has to be adaptable to any changes that can happen in order to reflect the real world subject to analysis. Those changes are due to changes of data sources in the course of time or to the changes of users’ requirements over a period of time. In this paper we focus on the maintenance of a special kind of DW related to moving objects' trajectories so called Trajectory Data Warehouse (TDW). For this end, we propose a solution that is able to handle instance changes using for that the versioning approach in order to keep track of the TDW evolution.