Data Modeling Essentials
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...
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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 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.Features· Thorough coverage of the fundamentals and 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).
Part I: BasicsChapter 1: What is Data MiningChapter 2: Basic NormalizationChapter 3: The Basic E-R ApproachChapter 4: Subtypes & SupertypesChapter 5: AttributesChapter 6: Primary Keys and IdentityChapter 7: Extensions and AlternativesPart II: Putting it TogetherChapter 8: Managing/Organizing the TaskChapter 9: Understanding the Business RequirementsChapter 10: Conceptual ModelingChapter 11: Logical Database DesignChapter 12: Physical Database DesignPart III: Advanced TopicsChapter 13: Advanced NormalizationChapter 14: Business RulesChapter 15: The Time DimensionChapter 16: Data Warehouse ModelsChapter 17: Enterprise Models & Data Management
\ From the Publisher"The perfect balance of theory and practice, giving the reader both the foundation and the tools to deliver high-quality data models."\ -Karen Lopez, Principal, InfoAdvisors, Inc.\ "The complete guide to data modeling for the reflective practitioner. Students like this book and so do I -- it is clear and accessible without sacrificing rigor."\ -Professor Graeme Shanks, School of Business Systems, Monash University, Australia\ "A unique, practical and comprehensive guide, providing an invaluable resource to anyone involved in data modeling from the novice to the expert data modeler."\ -Len Silverston, author of The Data Model Resource Book, Volumes 1 and 2.\ "Includes an extraordinary amount of good, useful, and well articulated information about the field."\ -David Hay, President, Essential Strategies, Inc. and author of Data Model Patterns\ \ \
