Data warehouses (DWs) are complex computer systems whose main goal is to facilitate the
decision making process of knowledge workers. ETL (Extraction-Transformation-Loading) …

The multidimensional (MD) modeling, which is the foundation of data warehouses (DWs),
MD databases, and On-Line Analytical Processing (OLAP) applications, is based on several …

Different modeling approaches have been proposed to overcome every design pitfall of
different data warehouse (DW) components. However, most of them offer partial solutions …

This paper presents a multidimensional conceptual Object-Oriented model for Data
Warehousing and OLAP tools, its structures, integrity constraints and query operations. It has …

Abstract In Data Warehouse (DW) scenarios, ETL (Extraction, Transformation, Loading)
processes are responsible for the extraction of data from heterogeneous operational data …

This article reports a systematic review on the definition of UML profiles in the research
literature. Several exploratory statistical analyses have been performed in order to …

Due to the principal role of Data warehouses (DW) in making strategy decisions, data
warehouse quality is crucial for organizations. Therefore, we should use methods, models …

Most of the data warehouse projects still fail because the final data warehouse does not
properly meet business goals. Designers start a data warehouse project with the conceptual …

Due to the sensitive data contained in Data Warehouses (DW), it is essential to specify
security measures from the early stages of the DW design and enforce them. Traditional …

Data Warehouses (DWs), Multidimensional (MD) Databases, and On-Line Analytical
Processing Applications are used as a very powerful mechanism for discovering crucial …