Advanced data warehouse design : from conventional to spatial and temporal applications / Elzbieta Malinowski, Esteban Zimányi.
Material type:
TextSeries: Data-centric systems and applicationsPublication details: Berlin : Springer, c2008Description: xxi, 435 p. : ill. ; 24 cmISBN: 9783540744047 (hbk.)Subject(s): Data warehousing | Multidimensional databases -- Design | Spatial data infrastructures -- Design | Temporal databases -- DesignDDC classification: 005.74 LOC classification: QA76.9.D37 | M35 2008Review: "Malinowski and Zimanyi explain in detail conventional data warehouse design, covering in particular complex hierarchy modeling. Additionally, they address two innovative domains recently introduced to extend the capabilities of data warehouse systems, namely the management of spatial and temporal information. Their presentation covers different phases of the design process, such as requirements specification, conceptual, logical, and physical design. They include three different approaches for requirements specification depending on whether users, operational data sources, or both are the driving force in the requirements gathering process, and they show how each approach leads to the creation of a conceptual multidimensional model. Throughout the book the concepts are illustrated using many real-world examples and completed by sample implementations for Microsoft's Analysis Services 2005 and Oracle 10g with the OLAP and the Spatial extensions." "For researchers this book serves as an introduction to the state of the art on data warehouse design, with many references to more detailed sources. Providing a clear and a concise presentation of the major concepts and results of data warehouse design, it can also be used as the basis of a graduate or advanced undergraduate course. The book may help experienced data warehouse designers to enlarge their analysis possibilities by incorporating spatial and temporal information. Finally, experts in spatial databases or in geographical information systems could benefit from the data warehouse vision for building innovative spatial analytical applications."--BOOK JACKET.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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APU Library Open Shelf | Book | QA76.9.D37 M35 2008 c.1 (Browse shelf (Opens below)) | 1 | Available (No use restrictions) | 00006736 |
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| QA76.9.D37 L33 2011 c.1 The data warehouse mentor : | QA76.9.D37 L33 2011 c.2 The data warehouse mentor : | QA76.9.D37 L49 2001 c.2 Data warehousing and e-commerce / | QA76.9.D37 M35 2008 c.1 Advanced data warehouse design : | QA76.9.D37 M68 2013 c.1 Data mining and data warehousing / | QA76.9.D37 M68 2013 c.2 Data mining and data warehousing / | QA76.9.D37 O73 2005 c.1 Oracle database 10g data warehousing / |
Includes bibliographical references (p. 391-409) and index.
"Malinowski and Zimanyi explain in detail conventional data warehouse design, covering in particular complex hierarchy modeling. Additionally, they address two innovative domains recently introduced to extend the capabilities of data warehouse systems, namely the management of spatial and temporal information. Their presentation covers different phases of the design process, such as requirements specification, conceptual, logical, and physical design. They include three different approaches for requirements specification depending on whether users, operational data sources, or both are the driving force in the requirements gathering process, and they show how each approach leads to the creation of a conceptual multidimensional model. Throughout the book the concepts are illustrated using many real-world examples and completed by sample implementations for Microsoft's Analysis Services 2005 and Oracle 10g with the OLAP and the Spatial extensions." "For researchers this book serves as an introduction to the state of the art on data warehouse design, with many references to more detailed sources. Providing a clear and a concise presentation of the major concepts and results of data warehouse design, it can also be used as the basis of a graduate or advanced undergraduate course. The book may help experienced data warehouse designers to enlarge their analysis possibilities by incorporating spatial and temporal information. Finally, experts in spatial databases or in geographical information systems could benefit from the data warehouse vision for building innovative spatial analytical applications."--BOOK JACKET.
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