Recently, a great deal of interest for Big Data has risen, mainly driven from a widespread number of research problems strongly related to real-life applications and systems, such as …
Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy" A unique and authoritative book that blends recent research developments with industry-level practices for …
In this paper, we highlight open problems and actual research trends in the field of Data Warehousing and OLAP over Big Data, an emerging term in Data Warehousing and OLAP …
Self-service business intelligence is about enabling non-expert users to make well-informed decisions by enriching the decision process with situational data, ie, data that have a narrow …
B Vrdoljak, M Banek, S Rizzi - … , Prague, Czech Republic, September 3-5 …, 2003 - Springer
Web warehousing plays a key role in providing the managers with up-to-date and comprehensive information about their business domain. On the other hand, since XML is …
BK Park, H Han, IY Song - … 2005, Copenhagen, Denmark, August 22-26 …, 2005 - Springer
Recently, a large number of XML documents are available on the Internet. This trend motivated many researchers to analyze them multi-dimensionally in the same way as …
A Cuzzocrea, E Bertino - Journal of Computer and System Sciences, 2011 - Elsevier
Privacy Preserving Distributed OLAP is becoming a critical challenge for next-generation Business Intelligence (BI) scenarios, due to the “natural suitability” of OLAP in analyzing …
MR Jensen, T Holmgren, TB Pedersen - Data Warehousing and …, 2004 - Springer
Abstract On-Line Analytical Processing (OLAP) systems based on multidimensional databases are essential elements of decision support. However, most existing data is stored …
ML Chouder, S Rizzi, R Chalal - Information Systems, 2019 - Elsevier
OLAP has been extensively used for a couple of decades as a data analysis approach to support decision making on enterprise structured data. Now, with the wide diffusion of …