There is an increasing interest in NoSQL (Not Only SQL) systems developed in the area of
Big Data as candidates for implementing multidimensional data warehouses due to the …

Despite a decade of research in OLAP systems, very few works attempt to tackle the problem
of analysing data extracted from XML text-rich documents. These documents are loosely …

In the last years, data warehousing systems have gained relevance to support decision
making within organizations. The core component of these systems is the data warehouse …

Requirements analysis is a key step in the process of the data warehouse design. It is the
key element for the success of a data warehouse project since at the end of this phase, the …

Data warehouse is playing an important role in strategic decision making process for
complex business solutions. To gain competitive advantage, business executives are …

A data warehouse allows to integrate heterogeneous data sources for analysis purposes.
One of the keys of success of the data warehousing process is the design and definition of …

Abstract SERNA M, Edgar and SERNA-A., Alexei. Framework to elicit multidimensional
requirements. Ing. Univ.[online]. 2018, vol. 22, n. 2, pp. 1-13. ISSN 0123-2126. Objective …

Desde hace décadas uno de los objetivos de la investigación en Ciencias Computacionales
es lograr automatizar la prueba del software, pero¿ por qué? La realidad es que somos una …

With decision support systems, decision-makers analyse data in data marts extracted from
production bases. The data-mart schema design is generally performed by expert designers …

Nowadays, the data warehouse is recognized as the essential component of decision
support systems since it ensures the best response to the decision problems of different …