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Data Modeler’s Workbench

Tools and Techniques for Analysis and Design
Langbeschreibung
A goldmine of valuable tools for data modelers!Data modelers render raw data-names, addresses, and salestotals, for instance-into information such as customer profiles andseasonal buying patterns that can be used for making criticalbusiness decisions. This book brings together thirty of the mosteffective tools for solving common modeling problems. The authorprovides an example of each tool and describes what it is, why itis needed, and how it is generally used to model data for bothdatabases and data warehouses, along with tips and warnings. Blanksample copies of all worksheets and checklists described areprovided in an appendix.Companion Web site features updates on the latest tools andtechniques, plus links to related sites offering automatedtools.
Inhaltsverzeichnis
ForewordIntroductionAcknowledgmentsPART 1: BUILDING THE FOUNDATIONChapter 1 Using Anecdotes, Analogies, and Presentations toIllustrate Data Modeling ConceptsChapter 2 Meta Data BingoChapter 3 Ensuring High-Quality DefinitionsChapter 4 Project Planning for the Data ModelerPART 2: ANALYZING THE REQUIREMENTSChapter 5 Subject Area AnalysisChapter 6 Subject Area ModelingChapter 7 Logical Data AnalysisPART 3: MODELING THE REQUIREMENTS AND SOME ADVICEChapter 8 The Normalization Hike and Denormalization SurvivalGuideChapter 9 The Abstraction Safety Guide and ComponentsChapter 10 Data Model Beauty TipsChapter 11 Planning a Long and Prosperous Career in DataModelingSuggested ReadingIndex
ISBN-13:
9780471233398
Veröffentl:
2002
Seiten:
496
Autor:
Steve Hoberman
eBook Typ:
PDF
eBook Format:
Reflowable
Kopierschutz:
2 - DRM Adobe
Sprache:
Englisch

57,99 €*

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