Data Modelling for Everyone - Softcover

Lee Allen, Sharon

Softcover

ISBN 10: 1904347002 ISBN 13: 9781904347002

Publisher: Curlingstone, 2002

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

About this title

Synopsis:

This work provides a solid foundation in the following tools and techniques: the different types of data modelling - 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; modelling 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; and graphical data modelling, focusing on the IDEF1X notation.

About this edition

• Publisher: Curlingstone
• Publication date: 2002
• ISBN 10: 1904347002
• ISBN 13: 9781904347002
• Binding: Paperback
• Number of pages: 600