![]() ![]() ![]() |
![]() |
|
|
![]() ![]() ![]() ![]() ![]() |
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Return to Heterogeneous Databases and Metadata In today s highly competitive world, enterprises are using Data Warehouse (DW) systems in order to make better and faster decisions. However, the success of a DW project is related to the quality of the information. This quality depends on data cleansing, consolidation and extraction processes. In this paper, an architecture for DW systems is proposed. This architecture provides high data quality through the use of a heterogeneous database management system, called HEROS, to solve data integration problems. A case study presenting the use of the proposed architecture is also shown. DiSC'01 Copyright ©2002 ACM Inc. |