The Experts below are selected from a list of 100173 Experts worldwide ranked by ideXlab platform
Robert Wrembel - One of the best experts on this subject based on the ideXlab platform.
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a Logical Model for multiversion data warehouses
Data Warehousing and Knowledge Discovery, 2014Co-Authors: Waqas Ahmed, Esteban Zimanyi, Robert WrembelAbstract:Data warehouse systems integrate data from heterogeneous sources. These sources are autonomous in nature and change independently of a data warehouse. Owing to changes in data sources, the content and the schema of a data warehouse may need to be changed for accurate decision making. Slowly changing dimensions and temporal data warehouses are the available solutions to manage changes in the content of the data warehouse. Multiversion data warehouses are capable of managing changes in the content and the structure simultaneously however, they are relatively complex and not easy to implement. In this paper, we present a Logical Model of a multiversion data warehouse which is capable of handling schema changes independently of changes in the content. We also introduce a new hybrid table version approach to implement the multiversion data warehouse.
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DaWaK - A Logical Model for Multiversion Data Warehouses
Data Warehousing and Knowledge Discovery, 2014Co-Authors: Waqas Ahmed, Esteban Zimanyi, Robert WrembelAbstract:Data warehouse systems integrate data from heterogeneous sources. These sources are autonomous in nature and change independently of a data warehouse. Owing to changes in data sources, the content and the schema of a data warehouse may need to be changed for accurate decision making. Slowly changing dimensions and temporal data warehouses are the available solutions to manage changes in the content of the data warehouse. Multiversion data warehouses are capable of managing changes in the content and the structure simultaneously however, they are relatively complex and not easy to implement. In this paper, we present a Logical Model of a multiversion data warehouse which is capable of handling schema changes independently of changes in the content. We also introduce a new hybrid table version approach to implement the multiversion data warehouse.
Waqas Ahmed - One of the best experts on this subject based on the ideXlab platform.
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a Logical Model for multiversion data warehouses
Data Warehousing and Knowledge Discovery, 2014Co-Authors: Waqas Ahmed, Esteban Zimanyi, Robert WrembelAbstract:Data warehouse systems integrate data from heterogeneous sources. These sources are autonomous in nature and change independently of a data warehouse. Owing to changes in data sources, the content and the schema of a data warehouse may need to be changed for accurate decision making. Slowly changing dimensions and temporal data warehouses are the available solutions to manage changes in the content of the data warehouse. Multiversion data warehouses are capable of managing changes in the content and the structure simultaneously however, they are relatively complex and not easy to implement. In this paper, we present a Logical Model of a multiversion data warehouse which is capable of handling schema changes independently of changes in the content. We also introduce a new hybrid table version approach to implement the multiversion data warehouse.
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DaWaK - A Logical Model for Multiversion Data Warehouses
Data Warehousing and Knowledge Discovery, 2014Co-Authors: Waqas Ahmed, Esteban Zimanyi, Robert WrembelAbstract:Data warehouse systems integrate data from heterogeneous sources. These sources are autonomous in nature and change independently of a data warehouse. Owing to changes in data sources, the content and the schema of a data warehouse may need to be changed for accurate decision making. Slowly changing dimensions and temporal data warehouses are the available solutions to manage changes in the content of the data warehouse. Multiversion data warehouses are capable of managing changes in the content and the structure simultaneously however, they are relatively complex and not easy to implement. In this paper, we present a Logical Model of a multiversion data warehouse which is capable of handling schema changes independently of changes in the content. We also introduce a new hybrid table version approach to implement the multiversion data warehouse.
Esteban Zimanyi - One of the best experts on this subject based on the ideXlab platform.
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a Logical Model for multiversion data warehouses
Data Warehousing and Knowledge Discovery, 2014Co-Authors: Waqas Ahmed, Esteban Zimanyi, Robert WrembelAbstract:Data warehouse systems integrate data from heterogeneous sources. These sources are autonomous in nature and change independently of a data warehouse. Owing to changes in data sources, the content and the schema of a data warehouse may need to be changed for accurate decision making. Slowly changing dimensions and temporal data warehouses are the available solutions to manage changes in the content of the data warehouse. Multiversion data warehouses are capable of managing changes in the content and the structure simultaneously however, they are relatively complex and not easy to implement. In this paper, we present a Logical Model of a multiversion data warehouse which is capable of handling schema changes independently of changes in the content. We also introduce a new hybrid table version approach to implement the multiversion data warehouse.
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DaWaK - A Logical Model for Multiversion Data Warehouses
Data Warehousing and Knowledge Discovery, 2014Co-Authors: Waqas Ahmed, Esteban Zimanyi, Robert WrembelAbstract:Data warehouse systems integrate data from heterogeneous sources. These sources are autonomous in nature and change independently of a data warehouse. Owing to changes in data sources, the content and the schema of a data warehouse may need to be changed for accurate decision making. Slowly changing dimensions and temporal data warehouses are the available solutions to manage changes in the content of the data warehouse. Multiversion data warehouses are capable of managing changes in the content and the structure simultaneously however, they are relatively complex and not easy to implement. In this paper, we present a Logical Model of a multiversion data warehouse which is capable of handling schema changes independently of changes in the content. We also introduce a new hybrid table version approach to implement the multiversion data warehouse.
Zoubida Kedad - One of the best experts on this subject based on the ideXlab platform.
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A Logical Model for Data Warehouse Design and Evolution
2007Co-Authors: Mokrane Bouzeghoub, Zoubida KedadAbstract:A data warehouse is a software infrastructure which supports OLAP applications by providing a collection of tools for data extraction and cleaning, data integration and aggregation, and data organization into multidimensional structures. At the design level, a data warehouse is defined as a hierarchy of view expressions whose ultimate nodes are queries on data sources. In this paper, we propose a Logical Model for a data warehouse representation which consists of a hierarchy of views, namely the base views, the intermediate views and the users views. This schema can be used for different design purposes, as the evolution of a data warehouse which is also the focus of this paper
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DaWaK - A Logical Model for Data Warehouse Design and Evolution
Data Warehousing and Knowledge Discovery, 2000Co-Authors: Mokrane Bouzeghoub, Zoubida KedadAbstract:A data warehouse is a software infrastructure which supports OLAP applications by providing a collection of tools for data extraction and cleaning, data integration and aggregation, and data organization into multidimensional structures. At the design level, a data warehouse is defined as a hierarchy of view expressions whose ultimate nodes are queries on data sources. In this paper, we propose a Logical Model for a data warehouse representation which consists of a hierarchy of views, namely the base views, the intermediate views and the users views. This schema can be used for different design purposes, as the evolution of a data warehouse which is also the focus of this paper.
Mokrane Bouzeghoub - One of the best experts on this subject based on the ideXlab platform.
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A Logical Model for Data Warehouse Design and Evolution
2007Co-Authors: Mokrane Bouzeghoub, Zoubida KedadAbstract:A data warehouse is a software infrastructure which supports OLAP applications by providing a collection of tools for data extraction and cleaning, data integration and aggregation, and data organization into multidimensional structures. At the design level, a data warehouse is defined as a hierarchy of view expressions whose ultimate nodes are queries on data sources. In this paper, we propose a Logical Model for a data warehouse representation which consists of a hierarchy of views, namely the base views, the intermediate views and the users views. This schema can be used for different design purposes, as the evolution of a data warehouse which is also the focus of this paper
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DaWaK - A Logical Model for Data Warehouse Design and Evolution
Data Warehousing and Knowledge Discovery, 2000Co-Authors: Mokrane Bouzeghoub, Zoubida KedadAbstract:A data warehouse is a software infrastructure which supports OLAP applications by providing a collection of tools for data extraction and cleaning, data integration and aggregation, and data organization into multidimensional structures. At the design level, a data warehouse is defined as a hierarchy of view expressions whose ultimate nodes are queries on data sources. In this paper, we propose a Logical Model for a data warehouse representation which consists of a hierarchy of views, namely the base views, the intermediate views and the users views. This schema can be used for different design purposes, as the evolution of a data warehouse which is also the focus of this paper.
