In this chapter, we present a spatial extension for the MultiDim model which is able to represent at the conceptual level all elements, i.e., dimensions, ...
Abstract. Data Warehouses (DWs) use an omnipresent time dimension for keeping track of changes in measure values. However, this dimension cannot be used to.
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In this paper, we introduce temporal extensions for the MultiDimER model, a conceptual multidimensional model. In our model we allow the inclusion of valid and ...
May 4, 2023 · A dimensional data model is a conceptual modeling technique that organizes data into a structure optimized for querying and analyzing data.
In the context of data warehouse design, a basic role is played by conceptual mod- eling, that provides a higher level of abstraction in describing the ...
The MultiDim model is a conceptual multidimensional model for data warehouse and OLAP applications. These applications require the presence of a time ...
"time". Each dimension is further modeled by using the constructs of the ER model. Also, the "time" dimension is clearly governed by hierarchies specifying ...
May 25, 2023 · Slowly changing dimensions are a key aspect of database design that directly affects how an analytics team can operate.
For the management of historical data, temporal data warehouses have been developed. Two current approaches for dealing with temporal data in data warehouses ...
Nov 2, 2023 · In this blog, we will explore the design principles of data warehouses and the foundational concepts including dimensionality, fact tables, dimension tables, ...