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Data Modeling for Everyone


Data Modeling for Everyone

Prix public : 68,95 €

Commander
Prix exceptionnel Eyrolles :
65,5€


Auteur(s) :
S.allen

Editeur : Curlingstone
Date de parution : 22/01/2003
ISBN : 1-904347-00-2
EAN : 9781904347002

Synopsis

Data Modeling is about gathering, documenting, and communicating the elements and structure of business information. What begins as a conceptual interplay of logical data units, through the application of relational theory, becomes the basis for creating a physical database design. Data Modeling is a core skill for data professionals, and is a full time job for a small but growing number of IT practitioners. It is a crucial stage prior to good quality relational database design.

Data Modeling for Everyone is for those who:
  • Have no previous data modeling experience
  • Want to understand the role of the data modeler in database design
  • Need to know how to capture the essence of a system but don't know where to start
  • Want more than just the theory and learn best from real world experience
  • Require a book before other data design books - helping you develop a logical model rather than assuming one exists that needs to be implemented in a database
Data Modeling for Everyone provides a solid foundation in the following tools & techniques:
  • The different types of data modeling - enterprise, transactional, and dimensional
  • The stages of analysis - developing conceptual, logical, and physical models
  • What to do if you need to work with existing systems - reverse engineering and forensic analysis
  • General principles for converting logical models to physical ones
  • Modeling scope - focusing on what's important but allowing for future development of your model
  • Defining detail - entity relationship (E/R), key based, and fully attributed models
  • Documenting your understanding of the business in the model
  • Graphical data modeling, focusing on the IDEF1X notation

Contents

  • Data Modeling : an Overview
  • Relational Modeling
  • Introduction to Relational Theory
  • Levels of Analysis
  • How Data Models Fit Into Projects
  • Building a Conceptual Model
  • Building a Logical Model
  • Transformation = Logical to Physical
  • Designing Only a Physical Model
  • Dimensional Data Modeling
  • Reverse Engineering a Data Model
  • Communication with the Model
  • Further Data Analysis
  • Meta Data Modeling
  • Data Modeling Working Practice

Commander ce livre au prix de 68,95 € 65,5 €

Classé sous : Data, Modeling, Model, Physical, Logical



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