DATA INTEGRATION IN DATA WAREHOUSING

Data Integration in Data Warehousing

Information integration is one of the most important aspects of a Data Warehouse. When data passes from the sources of the application-oriented operational environment to the Data Warehouse, possible inconsistencies and redundancies should be resolved, so that the warehouse is able to provide an integrated and reconciled view of data of the organization. We describe a novel approach to data int...

Data Integration in Data Warehousing (Keynote Address)

Data integration is a central problem in the design of Data Wareshouses and Decision Support Systems. When data passes from the sources of the application-oriented operational environment to the Data Warehouse, possible inconsistencies and redundancies should be resolved, so that the warehouse is able to provide an integrated and reconciled view of data of the organization. Generally speaking, ...

Source Integration in Data Warehousing

Source Integration is one of the core problems in Data Warehousing. Two critical factors for the design and maintenance of applications requiring Source Integration, and in particular Data Warehouse applications, are conceptual modeling of the domain, and reasoning support over the conceptual representation. We present a novel approach to conceptual modeling for Source Integration, which allows...

Foundations of Data Warehouse Quality Source Integration in Data Warehousing

Source Integration is one of the core problems in Data Warehousing. Two critical factors for the design and maintenance of applications requiring Source Integration, and in particular Data Warehouse applications, are conceptual modeling of the domain, and reasoning support over the conceptual representation. We present a novel approach to conceptual modeling for Source Integration, which allows...

Semantische Integration von Data Warehousing und Wissensmanagement