In real-world applications, data warehouses usually incorporate some dimension tables in their schemas that have the ability to change over time, reflecting modifications occurred in the respective information sources, involving some of their attributes. These dimension tables are commonly recognized as Slowly Changing Dimensions. Dealing with them is one of the most regular activities of a data warehouse's designer. It is crucial to ensure that the dimension's attributes changes be correctly reflected without affect the data warehouse consistency. For years, researchers and technicians have assumed several Slowly Changing Dimensions strategies using them as the most usual ways to reflect changing and keep historical data. In this paper we ...
Data warehouses are a primary means for a consoli-dated view on the data within an enterprise and fr...
Dimensional modelling is a conceptual modelling technique developed for designing data warehouse str...
In the multi-dimensional model of data warehouses, data drawn from multiple sources is organized int...
Abstract — In real-world applications, data warehouses usually incorporate some dimension tables in ...
Data Warehouses are refreshed periodically with data from source systems. Nevertheless this data is ...
Data warehouses are designed to store data in a consistent and integrated way, being refreshed perio...
Abstract. Multi-dimensional analysis is one of the most important ap-plications of data warehouses, ...
Dimensions are defined as dynamic or slowly changing if the attributes or relationships of a dimensi...
OLAP systems support data analysis through a multidimensional data model, according to which data fa...
Abstract—Dimensions in Data Warehouses (DWs) are usually modeled as a hierarchical set of categories...
Abstract—Dimensions in Data Warehouses (DWs) are modeled using a hierarchical schema of categories. ...
A dimension in a data warehouse (DW) is an abstract concept that groups data that share a common sem...
It is universally recognized that operational information systems lean on the relational model and d...
The present book's subject is multidimensional data models and data modeling concepts as they are ap...
In a data warehouse, time is one of the dimensions for the analysis, but it refers to the moment in ...
Data warehouses are a primary means for a consoli-dated view on the data within an enterprise and fr...
Dimensional modelling is a conceptual modelling technique developed for designing data warehouse str...
In the multi-dimensional model of data warehouses, data drawn from multiple sources is organized int...
Abstract — In real-world applications, data warehouses usually incorporate some dimension tables in ...
Data Warehouses are refreshed periodically with data from source systems. Nevertheless this data is ...
Data warehouses are designed to store data in a consistent and integrated way, being refreshed perio...
Abstract. Multi-dimensional analysis is one of the most important ap-plications of data warehouses, ...
Dimensions are defined as dynamic or slowly changing if the attributes or relationships of a dimensi...
OLAP systems support data analysis through a multidimensional data model, according to which data fa...
Abstract—Dimensions in Data Warehouses (DWs) are usually modeled as a hierarchical set of categories...
Abstract—Dimensions in Data Warehouses (DWs) are modeled using a hierarchical schema of categories. ...
A dimension in a data warehouse (DW) is an abstract concept that groups data that share a common sem...
It is universally recognized that operational information systems lean on the relational model and d...
The present book's subject is multidimensional data models and data modeling concepts as they are ap...
In a data warehouse, time is one of the dimensions for the analysis, but it refers to the moment in ...
Data warehouses are a primary means for a consoli-dated view on the data within an enterprise and fr...
Dimensional modelling is a conceptual modelling technique developed for designing data warehouse str...
In the multi-dimensional model of data warehouses, data drawn from multiple sources is organized int...