This paper presents a methodology to develop a dimensional data warehouse by integrating all three development approaches such as supply-driven, goal-driven and demand-driven. By having the combination of all three approaches, the final design will ensure that user requirements, company interest and existing source of data are included in the model. We proposed an automatic system using ontology as the knowledge domain. Starling from operational ER-D (Entity Relationship-Diagram), the selection of facts table, verification of terms and consistency checking will utilize domain ontology. The model will also be verified against user and company requirements. Any discrepancy in the final design requires designer and user intervention. The propo...
Multidimensional data model has been considered by the database community as a model to support the ...
This paper introduces the methodological guidelines for the data warehouse model computer assisted g...
One of the most important tasks performed in the early stages of a data warehouse project is the ana...
International audienceRequirement Analysis is a crucial and arduous taskin data warehouse design pro...
Data Warehouse has become a very important tool for data analysis but the conversion from Operation...
Some research efforts have proposed the automation of the data warehouse design in order to free thi...
Data Warehouse has become a very important tool for data analysis but the conversion from Operation...
Data Warehouse has become a very important tool for data analysis but the conversion from Operation...
Data Warehouse has become a very important tool for data analysis but the conversion from Operation...
Some research efforts have proposed the automation of the data warehouse design in order to free thi...
Data warehouse has become more and more popular for an enterprise as a data repository system.Yet to...
Data warehousing systems enable enterprise managers to acquire and integrate information from hetero...
Obtaining an implementation of a data warehouse is a complex task that forces designers to acquire w...
Abstract—Understanding, reusing, and maintaining data warehouse resources is a key challenge for dat...
The ideal scenario to derive the multidimensional conceptual schema of a data warehouse would entail...
Multidimensional data model has been considered by the database community as a model to support the ...
This paper introduces the methodological guidelines for the data warehouse model computer assisted g...
One of the most important tasks performed in the early stages of a data warehouse project is the ana...
International audienceRequirement Analysis is a crucial and arduous taskin data warehouse design pro...
Data Warehouse has become a very important tool for data analysis but the conversion from Operation...
Some research efforts have proposed the automation of the data warehouse design in order to free thi...
Data Warehouse has become a very important tool for data analysis but the conversion from Operation...
Data Warehouse has become a very important tool for data analysis but the conversion from Operation...
Data Warehouse has become a very important tool for data analysis but the conversion from Operation...
Some research efforts have proposed the automation of the data warehouse design in order to free thi...
Data warehouse has become more and more popular for an enterprise as a data repository system.Yet to...
Data warehousing systems enable enterprise managers to acquire and integrate information from hetero...
Obtaining an implementation of a data warehouse is a complex task that forces designers to acquire w...
Abstract—Understanding, reusing, and maintaining data warehouse resources is a key challenge for dat...
The ideal scenario to derive the multidimensional conceptual schema of a data warehouse would entail...
Multidimensional data model has been considered by the database community as a model to support the ...
This paper introduces the methodological guidelines for the data warehouse model computer assisted g...
One of the most important tasks performed in the early stages of a data warehouse project is the ana...