The information inside the Data Warehouse (DW) is used to take strategic decisions inside the organization that is why data quality plays a crucial role in guaranteeing the correctness of the decisions. Data quality also becomes a major issue when integrating information from two or more heterogeneous DWs. In the present paper, we perform extensive analysis of a mapping-based DW integration methodology and of its properties. In particular, we will prove that the proposed methodology guarantees coherency, meanwhile in certain cases it is able to maintain soundness and consistency. Moreover, intra-schema homogeneity is discussed and analysed as a necessary condition for summarizability and for optimization by materializing views of dependent ...
Information integration is one of the most important aspects of a Data Warehouse. When data passes f...
Design and implementation of data warehouses remain delicate tasks which are led by experts. Neverth...
The goal of a data warehouse system is to provide a comprehensive overview of the data available in ...
The information inside the Data Warehouse (DW) is used to take strategic decisions inside the organi...
The information inside the Data Warehouse (DW) is used to take strategic decisions inside the organi...
A new trend in Business Intelligence is the process of combining information from two or more differ...
In this paper we address the problem of integrating independent and possibly heterogeneous data ware...
Data Warehousing is the main Business Intelligence instruments that allows the extraction of relevan...
Abstract. In this paper we describe the design of a tool supporting the integration of independently...
Following recent trends in Data Warehousing, companies realized that there is a great potential in c...
Schema merging is the process of incorporating data models into an integrated, consistent schema fro...
In Data Warehouse (DW) scenarios, ETL (Extraction, Transformation, Loading) processes are responsib...
Most database researchers have studied data warehouses (DW) in their role as buffers of materialized...
Data warehouses (DW) form the backbone of data integration that is necessary for analytical applicat...
Abstract- Data warehouses are complex systems that have to deliver highly-aggregated data from heter...
Information integration is one of the most important aspects of a Data Warehouse. When data passes f...
Design and implementation of data warehouses remain delicate tasks which are led by experts. Neverth...
The goal of a data warehouse system is to provide a comprehensive overview of the data available in ...
The information inside the Data Warehouse (DW) is used to take strategic decisions inside the organi...
The information inside the Data Warehouse (DW) is used to take strategic decisions inside the organi...
A new trend in Business Intelligence is the process of combining information from two or more differ...
In this paper we address the problem of integrating independent and possibly heterogeneous data ware...
Data Warehousing is the main Business Intelligence instruments that allows the extraction of relevan...
Abstract. In this paper we describe the design of a tool supporting the integration of independently...
Following recent trends in Data Warehousing, companies realized that there is a great potential in c...
Schema merging is the process of incorporating data models into an integrated, consistent schema fro...
In Data Warehouse (DW) scenarios, ETL (Extraction, Transformation, Loading) processes are responsib...
Most database researchers have studied data warehouses (DW) in their role as buffers of materialized...
Data warehouses (DW) form the backbone of data integration that is necessary for analytical applicat...
Abstract- Data warehouses are complex systems that have to deliver highly-aggregated data from heter...
Information integration is one of the most important aspects of a Data Warehouse. When data passes f...
Design and implementation of data warehouses remain delicate tasks which are led by experts. Neverth...
The goal of a data warehouse system is to provide a comprehensive overview of the data available in ...