rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Advanced Data Warehouse Design
    sub title: From Conventional to Spatial and Temporal Applications
  name:
    name part: Malinowski, Elzbieta.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Zimányi, Esteban.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2008
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXI, 435 p. online resource.
  abstract: A data warehouse stores large volumes of historical data required for analytical purposes. This data is extracted from operational databases; transformed into a coherent whole using a multidimensional model that includes measures, dimensions, and hierarchies; and loaded into a data warehouse during the extraction-transformation-loading (ETL) process. Malinowski and Zimányi 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.
  table of contents: 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.
  note: by Elzbieta Malinowski, Esteban Zimányi.
  subject:
    topic: Computer science
  subject:
    topic: Information technology
  subject:
    topic: Business
    topic: Data processing
  subject:
    topic: Earth sciences
  subject:
    topic: Data structures (Computer science)
  subject:
    topic: Database management
  subject:
    topic: Geographical information systems
  subject:
    topic: Computer Science
  subject:
    topic: Data Structures, Cryptology and Information Theory
  subject:
    topic: Database Management
  subject:
    topic: Geographical Information Systems/Cartography
  subject:
    topic: IT in Business
  subject:
    topic: Environmental Monitoring/Analysis
  subject:
    topic: Earth Sciences, general
  classification: QA76.9.D35
  classification: 005.74
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Data-Centric Systems and Applications
  identifier: 9783540744054
  identifier: http://dx.doi.org/10.1007/978-3-540-74405-4
  record info:
    record creation date: 100301
    record change date: 20151204154955.0
    record identifier: 978-3-540-74405-4