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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From the Back Cover
A ONE-STOP, DEFINITIVE GUIDE TO DATA MODELING FOR IT PROFESSIONALS
Data Modeling Fundamentals is a comprehensive guide to the foundation and principles behind data modeling and its essential role in successful database design. The only book specifically addressing the essentials of data modeling for IT professionals, it includes:
- An overview of data modeling concepts, techniques, and symbols
Anatomy of a comprehensive data model describing the various components
Extensive details of entities, attributes, identifiers, and relationships
Transition from data modeling to database design and implementation, datanormalization, and modeling for decision-support systems
Quality data modeling and agile data modeling in practice
Trends in data modeling methodologies and techniques
Chapter summaries with review questions and exercises at the conclusion of each chapter help readers gauge their understanding of the material presented. Complete with real-world examples, references, and an abundance of practical tips and suggestions, Data Modeling Fundamentals is an indispensable resource for both novice and experienced data modelers.
About the Author
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.
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Wish all Tech Books where this organized.,
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This review is from: Data Modeling Fundamentals: A Practical Guide for IT Professionals (Hardcover)
This is a must have book that a Data Modeler will want to keep for a long time.
It discusses every aspect of the Data Modeling discipline. Does not matter what DBMS you use the information in this book is priceless.
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dimension entity type, data modeling fundamentals, user liaison persons, cardinality indicator, external data model, data model diagram, model transformation method, normal form data model, aggregate entity type, intersection entity types, dependent entity type, strong entity type, agile development principles, corresponding primary key attribute, entity type boxes, fundamental normal forms, full primary key, second entity type, historical entity types, separate entity type, initial data model, data model quality, data model review, data modeling project, data modeling team Key Phrases - Capitalized Phrases (CAPs): (learn more)
Data Modeling Fundamentals, New York, Unified Modeling Language, John Wiley, Design Ross, Mary Williams, Programming Goldner, Rob Smith, Analysis Williams, Meaning of Minimum Cardinality Indicator, Meaning of Maximum Cardinality Indicator, Raritan Catering, Walker Lane, William Street, Bradford Place, Carey Smith, Date Opened, Social Security, Woods Drive, Grady Jamesburg, Knox Iselin, Kristin Rogers, Matthew Rader Edison, Ramola Ruskin Metuchen, Richard Barker New!
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dimension entity type, data modeling fundamentals, user liaison persons, cardinality indicator, external data model, data model diagram, model transformation method, normal form data model, aggregate entity type, intersection entity types, dependent entity type, strong entity type, agile development principles, corresponding primary key attribute, entity type boxes, fundamental normal forms, full primary key, second entity type, historical entity types, separate entity type, initial data model, data model quality, data model review, data modeling project, data modeling team Key Phrases - Capitalized Phrases (CAPs): (learn more)
Data Modeling Fundamentals, New York, Unified Modeling Language, John Wiley, Design Ross, Mary Williams, Programming Goldner, Rob Smith, Analysis Williams, Meaning of Minimum Cardinality Indicator, Meaning of Maximum Cardinality Indicator, Raritan Catering, Walker Lane, William Street, Bradford Place, Carey Smith, Date Opened, Social Security, Woods Drive, Grady Jamesburg, Knox Iselin, Kristin Rogers, Matthew Rader Edison, Ramola Ruskin Metuchen, Richard Barker New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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