Handling Instance Changes in a Multiversion Trajectory Data Warehouse

Provided by: AICIT
Topic: Big Data
Format: PDF
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, the authors focus on the maintenance of a special kind of DW related to moving objects' trajectories so called Trajectory Data Warehouse (TDW).

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