Data Modeling Fundamentals

Without a proper data model of the information requirements of an enterprise, an adequate database system cannot be correctly designed and implemented for the organization. A good data model of high quality forms an essential prerequisite for any successful database system. Unless the data modelers represent the information requirements of the organization in a proper data model, the database design will be totally ineffective.

The theme of this book is to present the fundamentals and ideas and practices about creating good and useful data models—data models that can function effectively as tools of communication with the user community and as database blueprints for database practitioners.

This book intends to be the one definitive publication to fulfill the needs of aspiring data modelers, of those experienced data modelers desiring to have a refresher, and even of expert data modelers wishing to review additional concepts. In this volume, I have attempted to present my knowledge and insights acquired through three decades of IT consulting, through many years of teaching data-related subjects in seminar and college environments, and through graduate and postgraduate levels of studies. I do hope this experience will be of use to you.

TABLE OF CONTENT:
Chapter 01 - Data Modeling: An Overview
Chapter 02 - Methods, Techniques, and Symbols
Chapter 03 - Anatomy of a Data Model
Chapter 04 - Objects or Entities in Detail
Chapter 05 - Attributes and Identifiers in Detail
Chapter 06 - Relationships in Detail
Chapter 07 - Data Modeling to Database Design
Chapter 08 - Data Normalization
Chapter 09 - Modeling for Decision-Support Systems
Chapter 10 - Ensuring Quality in the Data Model
Chapter 11 - Agile Data Modeling in Practice
Chapter 12 - Data Modeling: Practical Tips

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