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Autor(en): 
  • W. H. Inmon
  • Building the Data Warehouse 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2005  
    Genre:  EDV / Informatik 
     
    activities / Amounts / Analyze / become / bible / book / Business / computer science
    ISBN:  9780764599446 
    EAN-Code: 
    9780764599446 
    Verlag:  Wiley 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 236 mm / B 188 mm / D 38 mm 
    Gewicht:  748 gr 
    Seiten:  576 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    The most comprehensive introduction to the core concepts and methods of data warehousing

    Data warehouses provide a much-needed strategy for organizations to collect, store, and analyze vast amounts of business data. As businesses expand both brick-and-mortar and online activities, the field of data warehousing has become increasingly important. Since it was first published in 1990, W. H. Inmon's Building the Data Warehouse has been the bible of data warehousing? it is the book that launched the data warehousing industry and it remains the preeminent introduction to the subject. This new edition covers the latest developments with this technology, many of which have been pioneered by Inmon himself.

    An overview of all the fundamental components of data warehouse systems offers you a refresher of the methods used for data warehouse design; various data warehouse migration strategies; and the technologies that can be applied for loading, indexing, and managing data. In order to bring you up to date, this in-depth guide then features the latest advances in data warehousing.

    New chapters cover:

    • Understanding methods for handling unstructured data in a data warehouse
    • Storing data across multiple storage media
    • Examining the pros and cons of relational vs. multidimensional design
    • Measuring return on investment in planning data warehouse projects
    • Exploring advanced topics, including data monitoring and testing

      



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