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Data Modeling Made Simple : A Practical Guide for Business and IT Professionals by Steve Hoberman (2007, Trade Paperback)
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Author:Hoberman, Steve. Book Binding:Paperback. Book Condition:VERYGOOD. All of our paper waste is recycled within the UK and turned into corrugated cardboard. World of Books USA was founded in 2005.
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About this product
Product Identifiers
PublisherTechnics Publications, LLC
ISBN-100977140008
ISBN-139780977140008
eBay Product ID (ePID)52762542
Product Key Features
Number of Pages134 Pages
LanguageEnglish
Publication NameData Modeling Made Simple : a Practical Guide for Business and It Professionals
SubjectProgramming / General, Data Modeling & Design, General
Publication Year2007
TypeTextbook
Subject AreaComputers
AuthorSteve Hoberman
FormatTrade Paperback
Dimensions
Item Height0.3 in
Item Weight10.9 Oz
Item Length10 in
Item Width7 in
Additional Product Features
Intended AudienceTrade
LCCN2005-906929
Dewey Edition22
IllustratedYes
Dewey Decimal005.74
SynopsisEver have a bad data day? If you are a business user, architect, analyst, designer or developer, then you have probably had some bad data days. It comes with the territory. Overcoming these problems is much easier if you have an in-depth understanding of the actual data. That's where a data model comes in handy. It's a diagram that uses text and symbols to represent groupings of data, giving you a clear picture of your business and application environment. The book provides the tools you need to read, create and validate models of your business and applications. Contains everything about modelling you need to know but were too afraid to ask, such as: What are the traditional and non-traditional uses of a data model? How do subject area, logical, and physical data models differ? When do I build a BSAM, ASAM, or CSAM? What is the easiest way to apply normalisation? Where can I best leverage abstraction? How do I decide whether to use denormalisation or dimensionality? What are primary, foreign, alternate, virtual, and surrogate keys? What is the best approach to building the models? How can I use the Scorecard system to validate a data model? Includes over 30 exercises to reinforce concepts and sharpen your skills!, Ever have a bad data day? If you're a business user, architect, analyst, designer or developer, then you've probably had some bad data days. It comes with the territory. Overcoming these problems is much easier if you have an in-depth understanding of the
LC Classification NumberQA76.9.D26H625 2005
