Malinowski / Zimányi Advanced Data Warehouse Design

From Conventional to Spatial and Temporal Applications
2008
ISBN: 978-3-540-74405-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 435 Seiten, eBook

Reihe: Data-Centric Systems and Applications

This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references to more detailed sources. It offers a clear and a concise presentation of the major concepts and results in the subject area. Malinowski and Zimányi explain conventional data warehouse design in detail, and additionally address two innovative domains recently introduced to extend the capabilities of data warehouse systems: namely, the management of spatial and temporal information.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Malinowski, Elzbieta

Zimányi, Esteban

Inhaltsverzeichnis

to Databases and Data Warehouses.- Conventional Data Warehouses.- Spatial Data Warehouses.- Temporal Data Warehouses.- Designing Conventional Data Warehouses.- Designing Spatial and Temporal Data Warehouses.- Conclusions and Future Work.

Über Autor(innen)

Elzbieta Malinowski is a professor at the department of Computer and Information
Science at the Universidad de Costa Rica and a professional consultant in
Costa Rica in the area of the Data Warehousing. She received her master degrees
from Saint Petersburg Electrotechnical University, Russia (1982) and
University of Florida, USA (1996), and her Ph.D. degree from
Université Libre de Bruxelles, Belgium (2006). Her research interests
include data warehouses, OLAP systems, geographic information systems,
and temporal databases.

Esteban Zimányi is a professor of computer science at the Engineering Department of the Université Libre de Bruxelles (ULB), Belgium. He received the BSc degree (1988) and the doctorate degree (1992) in computer science from the Sciences Department at the ULB. His current research interests include conceptual modeling, geographic information systems, spatio-temporal databases, and semantic web.