1. Edition - August 2007
105.- Euro
2007. 464 Pages, Hardcover
- Monograph -
ISBN-10: 0-471-79049-4
ISBN-13: 978-0-471-79049-5 - John Wiley & Sons






Sample Chapter

Short description
Providing a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively, Data Modeling Fundamentals clearly describes how a generic data model is created to represent the enterprise information requirements. The all-encompassing guide begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model components, covers the implementation of the data model with emphasis on quality components, and concludes with a presentation of a realistic approach to data modeling.

From the contents
Preface.

Acknowledgments.

PART I: INTRODUCTION TO DATA MODELING.

1. Data Modeling: An Overview.

2. Methods, Techniques, and Symbols.

PART II. DATA MODELING FUNDAMENTALS.

3. Anatomy of a Data Model.

4. Objects or Entities in Detail.

5. Attributes and Identifiers in Detail.

6. Relationships in Detail.

PART III. DATA MODEL IMPLEMENTATION.

7. Data Modeling to Database Design.

8. Data Normalization.

9. Modeling for Decision-Support Systems.

PART IV. PRACTICAL APPROACH TO DATA MODELING.

10. Ensuring Quality in the Data Model.

11. Agile Data Modeling in Practice.

12. Data Modeling: Practical Tips.

References.

Glossary.

Index.