Data Modeling Essentials, Third Edition

  • 9h 28m
  • Graeme C. Simsion, Graham C. Witt
  • Elsevier Science and Technology Books, Inc.
  • 2005

Data Modeling Essentials, Third Edition provides expert tutelage for data modelers, business analysts and systems designers at all levels. Beginning with the basics, this book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. The third edition of this popular book retains its distinctive hallmarks of readability and usefulness, but has been given significantly expanded coverage and reorganized for greater reader comprehension. Authored by two leaders in the field, Data Modeling Essentials, Third Edition is the ideal reference for professionals and students looking for a real-world perspective.

In this Book

  • What is Data Modeling?
  • Basics of Sound Structure
  • The Entity-Relationship Approach
  • Subtypes and Supertypes
  • Attributes and Columns
  • Primary Keys and Identity
  • Extensions and Alternatives
  • Organizing the Data Modeling Task
  • The Business Requirements
  • Conceptual Data Modeling
  • Logical Database Design
  • Physical Database Design
  • Advanced Normalization
  • Modeling Business Rules
  • Time-Dependent Data
  • Modeling for Data Warehouses and Data Marts
  • Enterprise Data Models and Data Management
  • Further Reading
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