By Elzbieta Malinowski
This unprecedented paintings offers readers with an creation to the cutting-edge learn on facts warehouse layout, with many references to extra distinct resources. It deals a transparent and a concise presentation of the main suggestions and ends up in the topic sector. Malinowski and Zim?nyi clarify traditional facts warehouse layout intimately, and also deal with cutting edge domain names lately brought to increase the services of information warehouse structures: specifically, the administration of spatial and temporal details.
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Extra info for Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications (Data-Centric Systems and Applications)
Typical relational implementations provide only a few basic domains, such as integer, ﬂoat, date, and string. One important restriction in the relational model is that attributes must be atomic and monovalued; this is the case for all attributes in Fig. 2. Thus, the complex attribute Name of the entity type Academic staﬀ in Fig. 1 has been split into the two atomic attributes First name and Last name in the table of the same name in Fig. 2. Therefore, a relation R is deﬁned by a schema R(A1 : D1 , A2 : D2 , .
5 and 7, respectively. We brieﬂy describe next the remaining chapters of the book. Chapter 2 provides an introduction to the ﬁelds of databases and data warehouses, covering the conceptual, logical, and physical design. This chapter thus provides the necessary background for the rest of the book. We provide also an introduction to two representative data warehouse platforms, Microsoft Analysis Services 2005 and Oracle 10g with the OLAP option. Chapter 3 deﬁnes the MultiDim model, including the various kinds of hierarchies and their classiﬁcation.
This book summarizes original research conducted by the authors, which has been partly published previously in international journals, conference proceedings, and book chapters [173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184]. Since the book covers several research areas, we describe next the contributions of this research to each of them. 1 Conventional Data Warehouses The main contributions of our proposal in the ﬁeld of conventional data warehouses include the following aspects. , entity types, relationship types, and attributes, with their usual semantics.