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Data Modeling Essential The Ultimate Reference
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ISBN
:
9788177223026
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Publisher
:
Dreamtech Press
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Binding
:
paperback
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Pages
:
560
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Year
:
2002
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349.0
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268.0
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Description
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 thevarious 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. Special Feature Clear, practical approach to data modeling Textbook simplicity in data planning Cutting-edge data warehousing concepts This book will help you: Organize the modeling tasks Manage compromises Understand subtypes and super types Design for flexibility Achieve basic and advanced normalization Develop and user generic models Model for the data warehouse Model the time dimension Understand corporate data modeling
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Author Biography
Graeme C. Simsion is Principal of Simsion Bowles and Associates. A division of Tier Technologies, Inc., in Melbourne, Australia, and is s regular speaker and publisher on the subjectsof data modeling and data management. Graham C. Witt is a Semopr Consultant with Simsion Bowles & Associates, specializing in data modeling, database design, and data management. He is also an experienced teacher of data modeling and publishes regularly Table of Contents Overview of Data Modeling What is Data Modeling Basic Normalization The Entity-Relationship Approach Subtypes and Supertypes · Putting it all together Organizing the Data Modeling Task Advanced Data Modeling More About Relationships and Foreign Keys Advanced Normalization Primary Keys and Identity Attributes Time Dependent Data Modeling Business Rules Modeling for Data Warehouses and Data Marts Corporate Data Modeling
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