Paulraj Ponniah

Data Modeling Fundamentals (eBook, PDF)

A Practical Guide for IT Professionals

• Format: PDF

Produktbeschreibung

The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It 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. It clearly describes how a generic data model is created to represent truly the enterprise information requirements.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 464
• Erscheinungstermin: 28. Juni 2008
• Englisch
• ISBN-13: 9780470141014
• Artikelnr.: 37290758

Autorenporträt

PAULRAJ PONNIAH, PHD, an Adjunct Professor, teaches college courses in database design and data warehousing. He has over twenty-five years of experience as an information technology consultant, and has worked for such organizations as Texaco, Sotheby's, North American Philips, Blue Cross/Blue Shield of New York, Columbia-Presbyterian Medical Center, International Flavors & Fragrances, and Panasonic. Dr. Ponniah has published two successful books and continues to lecture to information technology professionals on data modeling, database design, and data warehousing.

Inhaltsangabe

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.