Data warehouse systems

A Vaisman, E Zimányi - Data-Centric Systems and Applications, 2014 - Springer
Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

From Star Schemas to Big Data: 20 Years of Data Warehouse Research

M Golfarelli, S Rizzi - A comprehensive guide through the Italian database …, 2017 - Springer
Data Warehouses are the core of the modern systems for decision making. They store
integrated information extracted from various and heterogeneous data sources, making it …

Data-Centric Systems and Applications

MJ Carey, S Ceri, P Bernstein, U Dayal, C Faloutsos… - 2008 - Springer
Data warehouses are databases of a specific kind that periodically collect information about
the activities being performed by an organization. This information is then accumulated over …

Application of data mining techniques to identify relevant key performance indicators

J Peral, A Maté, M Marco - Computer Standards & Interfaces, 2017 - Elsevier
Currently dashboards are the preferred tool across organizations to monitor business
performance. Dashboards are often composed of different data visualization techniques …

A hybrid infrastructure of enterprise architecture and business intelligence & analytics for knowledge management in education

O Moscoso-Zea, J Castro, J Paredes-Gualtor… - IEEE …, 2019 - ieeexplore.ieee.org
Advances in science and technology, the Internet of Things, and the proliferation of mobile
apps are critical factors to the current increase in the amount, structure, and size of …

Research in data warehouse modeling and design: dead or alive?

S Rizzi, A Abelló, J Lechtenbörger… - Proceedings of the 9th …, 2006 - dl.acm.org
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 …

An MDA approach for the development of data warehouses

JN Mazón, J Trujillo - Decision Support Systems, 2008 - Elsevier
Different modeling approaches have been proposed to overcome every design pitfall of
different data warehouse (DW) components. However, most of them offer partial solutions …

A model-driven goal-oriented requirement engineering approach for data warehouses

JN Mazón, J Pardillo, J Trujillo - International conference on conceptual …, 2007 - Springer
The development of a data warehouse has been traditionally guided by an in-depth analysis
of the underlying operational data sources, thus overlooking an explicit development phase …

Business intelligence 2.0: A general overview

J Trujillo, A Maté - Business Intelligence: First European Summer School …, 2012 - Springer
Business Intelligence (BI) solutions allow decision makers to query, understand, and
analyze business data in order to make better decisions. However, as the technology and …

Defining ETL worfklows using BPMN and BPEL

Z El Akkaoui, E Zimányi - Proceedings of the ACM twelfth international …, 2009 - dl.acm.org
Decisional systems are crucial for enterprise improvement. They allow the consolidation of
heterogeneous data from distributed enterprise data stores into strategic indicators. An …