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Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications
Description Advanced Data Warehouse Design: From Conventional to Spatial and Temporal 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.
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Advanced Data Warehouse Design: From Conventional to ~ As one reads the chapters on the different types of structures that can be found in conventional, spatial and temporal data warehouses, there is a faint echo of the seminal works of Donald Knuth, who, decades earlier wrote the leading book on data structures. It is interesting to see how far data structures have evolved from the early days of Knuth to the sophisticated data warehouses of today.
Lire Le Livre en Ligne: September 2016 ~ Profitez-en et vous détendre en lisant complète Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications (Data-Centric Systems and Applications) by Elzbieta Malinowski (2009-12-09) Livres en ligne. CLIQUEZ ICI POUR TÉLÉCHARGER LIVRE
Spatial OLAP Portal ~ 2008, Advanced Data Warehouse Design From Conventional to Spatial and Temporal Applications (Malinowski, E. Zimanyi, E.) 2008, Fundamental Characteristics of Spatial OLAP Technologies as Selection Criteria, (Proulx, M.-J. et al, Université Laval)
Esteban Zimányi - Home page - Department of Computer and ~ Elzbieta Malinowski, Esteban Zimányi Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications Springer, 2008 Christine Parent, Stefano Spaccapietra, Esteban Zimányi Conceptual Modeling for Traditional and Spatio-Temporal Applications: The MADS Approach Lecture Notes in Computer Science, Vol. 3534, Springer, 2006
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