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Data Modeling Essentials
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  • Data Modeling Essentials
ID: 176805
Graeme Simsion, Graham Witt
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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 and database design. Later chapters, addressing advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management.

The third edition of this book is a remarkable and useful book. Authored by two leaders in the field, Data Modeling Essentials, Third Edition is a real-world perspective.

Thorough coverage of the foundations and the relevant theory.
· Recognition and support for the creative side of the process.
· Expanded coverage of applied data modeling includes new chapters on logical and physical database design.
· New material describing a powerful technique for model verification.
· Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict.
· Extensive online component, including course notes and other teaching aids (www.mkp.com).

UML diagrams now available! Visit the companion site for more details.

Click here to view a book review by Steve Hoberman!

Part I: Basics

Chapter 1: What is Data Modeling?
Chapter 2: Basics of Good Structure
Chapter 3: The Entity-Relationship Approach
Chapter 4: Subtypes & Supertypes
Chapter 5: Attributes and Columns
Chapter 6: Primary Keys and Identity
Chapter 7: Extensions and Alternatives

Part II: Putting it Together

Chapter 8: Organizing the Data Modeling Task
Chapter 9: Understanding the Business Requirements
Chapter 10: Conceptual Modeling
Chapter 11: Logical Database Design
Chapter 12: Physical Database Design

Part III: Advanced Topics

Chapter 13: Advanced Normalization
Chapter 14: Modeling Business Rules
Chapter 15: Time-Dependent Data
Chapter 16: Modeling for Data Warehouses and Data Marts
Chapter 17: Enterprise Data Models and Data Management
176805

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