Data Modeling for Everyone

Sharon Allen

510 pages, parution le 22/01/2003

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Résumé

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

Caractéristiques techniques

	PAPIER
Éditeur(s)	Curlingstone
Auteur(s)	Sharon Allen
Parution	22/01/2003
Nb. de pages	510
Format	18,3 x 22,8
Couverture	Broché
Poids	865g
Intérieur	Noir et Blanc
EAN13	9781904347002
ISBN13	978-1-904347-00-2