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 …
I Moalla, A Nabli, L Bouzguenda… - Social Network Analysis …, 2017 - Springer
With the rise of social media in our life, several decision makers have worked on these networks to make better decisions. In order to benefit from the data issued from these media …
Different modeling approaches have been proposed to overcome every design pitfall of different data warehouse (DW) components. However, most of them offer partial solutions …
E Malinowski, E Zimányi - Data & Knowledge Engineering, 2006 - Elsevier
Hierarchies are used in data warehouses (DWs) and on-line analytical processing (OLAP) systems to see data at different levels of detail. However, many kinds of hierarchies arising …
Abstract In Data Warehouse (DW) scenarios, ETL (Extraction, Transformation, Loading) processes are responsible for the extraction of data from heterogeneous operational data …
J Pardillo - Model Driven Engineering Languages and Systems …, 2010 - Springer
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 …
E Malinowski, E Zimányi - Proceedings of the 12th annual ACM …, 2004 - dl.acm.org
Data Warehouses and On-Line Analytical Processing systems rely on a multidimensional model that includes dimensions, hierarchies, and measures. Such model allows to express …
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 …