The extract, transform, and load (ETL) process is at the core of data warehousing
architectures. As such, the success of data warehouse (DW) projects is essentially based on …

Abstract Extraction–transformation–loading (ETL) tools are pieces of software responsible
for the extraction of data from several sources, its cleansing, customization, reformatting …

Multidimensional modeling requires specialized design techniques. Though a lot has been
written about how a data warehouse should be designed, there is no consensus on a design …

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

The main objective of the Web of Data paradigm is to crystallize knowledge through the
interlinking of already existing but dispersed data. The usefulness of the developed …

Even though data warehousing (DW) requires huge investments, the data warehouse
market is experiencing incredible growth. However, a large number of DW initiatives end up …

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 …

Previous research has provided metadata models that enable the capturing of the static
components of a data warehouse architecture, along with information on different quality …

This paper presents a multidimensional conceptual object-oriented model, its structures,
integrity constraints and query operations. It has been developed as an extension of UML …

Abstract The words On-Line Analytical Processing bring together a set of tools, that use
multidimensional modeling in the management of information to improve the decision …