Data Modeling Fundamentals
A Practical Guide for It Professionals
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Providing a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively, Data Modeling Fundamentals clearly describes how a generic data model is created to represent the enterprise information requirements. The all-encompassing guide 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.
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.
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.
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