Abstract. Data warehouses tend to evolve, because of changes in data sources and business requirements of users. All these kinds of changes must be properly handled, therefore, data warehouse development is never-ending process. In this paper we propose the evolution-oriented user-centric data warehouse design, which on the one hand allows to manage data warehouse evolution automatically or semi-automatically, and on the other hand it provides users with the under-standable, easy and transparent data analysis possibilities. The proposed approach supports versions of data warehouse schemata and data semantics.
Abstract. A Data Warehouse (DW) can be used to integrate data from multiple distributed data sources...
The paper presents a: a) brief overview and analysis of existing approaches to the data warehouse (D...
Data warehouse systems integrate data from heterogeneous sources. These sources are autonomous in na...
International audienceModeling and data warehousing have been considered, for more than one decade, ...
International audienceA Data warehouse (DW) is characterized by a complex architecture, designed in ...
International audienceA Data warehouse (DW) is characterized by a complex architecture, designed in ...
Data warehouse development process is a long and arduous task which requires specific knowledge base...
A Data warehouse (DW) is characterized by a complex architecture, designed in order to integrate dat...
Abstract: We designed a data warehouse for the French bank LCL meeting users ’ needs regarding marke...
A Data warehouse (DW) is characterized by a complex architecture, designed in order to integrate dat...
The Data Warehouse (DW) is characterized by complex architecture, specific modeling and design appro...
International audienceThe Data Warehouse (DW) is characterized by complex architecture, specific mod...
A Data warehouse (DW) is characterized by a complex architecture, designed in order to integrate dat...
Designing data warehouse (DW) systems in highly dynamic enterprise environments is not an easy task....
Designing data warehouse (DW) systems in highly dynamic enterprise environments is not an easy task....
Abstract. A Data Warehouse (DW) can be used to integrate data from multiple distributed data sources...
The paper presents a: a) brief overview and analysis of existing approaches to the data warehouse (D...
Data warehouse systems integrate data from heterogeneous sources. These sources are autonomous in na...
International audienceModeling and data warehousing have been considered, for more than one decade, ...
International audienceA Data warehouse (DW) is characterized by a complex architecture, designed in ...
International audienceA Data warehouse (DW) is characterized by a complex architecture, designed in ...
Data warehouse development process is a long and arduous task which requires specific knowledge base...
A Data warehouse (DW) is characterized by a complex architecture, designed in order to integrate dat...
Abstract: We designed a data warehouse for the French bank LCL meeting users ’ needs regarding marke...
A Data warehouse (DW) is characterized by a complex architecture, designed in order to integrate dat...
The Data Warehouse (DW) is characterized by complex architecture, specific modeling and design appro...
International audienceThe Data Warehouse (DW) is characterized by complex architecture, specific mod...
A Data warehouse (DW) is characterized by a complex architecture, designed in order to integrate dat...
Designing data warehouse (DW) systems in highly dynamic enterprise environments is not an easy task....
Designing data warehouse (DW) systems in highly dynamic enterprise environments is not an easy task....
Abstract. A Data Warehouse (DW) can be used to integrate data from multiple distributed data sources...
The paper presents a: a) brief overview and analysis of existing approaches to the data warehouse (D...
Data warehouse systems integrate data from heterogeneous sources. These sources are autonomous in na...