Data warehouse concepts for model artifacts?

Continuous Data Warehouse: Concepts, Challenges and Potentials

The multidimensional structures or hypercubes are commonly used in OLAP (On Line Analytical Processing) to store and organize the data with the goal of optimizing query response time. The multidimensional approach is based on the concept of facts or measures analyzed with respect to various prospects or dimensions to facilitate the decision making process. Dimensions can be seen as axis of anal...

Object-Oriented Data Model for Data Warehouse

Data Warehouse is frequently organized as collection of multidimensional data cubes, which represent data in the form of data values, called measures, associated with multiple dimensions and their multiple levels. However, some application areas need more expressive model for description its data. This paper presents the extension of classical multidimensional model to make Data Warehouse more ...

A Model for Data Warehouse Operational Processes

Previous research has provided metadata models that enable the capturing of the static components of a Data Warehouse (DW) architecture, along with information on different quality factors over these components. This paper complements this work with the modeling of the dynamic parts of the DW, i.e., with a metamodel for DW operational processes. The proposed metamodel is capable of modeling com...

A Model for a Temporal Data Warehouse

Data warehouses are a primary means for a consolidated view on the data within an enterprise and frequently a rst step in integrating enterprise information systems. Above all, data warehouses are used for analyzing enterprise data online, giving the possibility to aggregate and compare data along dimensions relevant in the application domain. Typically time is one of the dimensions we nd in da...

A Transactional Model for Data Warehouse Maintenance