BEGINNING RELATIONAL DATA MODELING (2nd Ed.)

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Beginning Relational Data Modeling, Second Edition will lead you step-by-step through the process of developing an effective logical data model for your relational database. No previous data modeling experience is even required. The authors infuse concise, straightforward wisdom to explain a usually complex, jargon-filled discipline. And examples are based on her extensive experience modeling for real business systems. Table of contents : Chapter 1: Understanding and Organizing Data: Past and PresentChapter 2: Introducing Relational TheoryChapter 3: Understanding Relational Modeling TerminologyChapter 4: Understanding Data Modeling Methods: Graphical SyntaxChapter 5: Introducing Object-Oriented Data ModelingChapter 6: Examining Levels of AnalysisChapter 7: How Data Models Fit Into ProjectsChapter 8: Building a Conceptual ModelChapter 9: Building a Logical ModelChapter 10: Transforming a Logical Model into a Physical ModelChapter 11: Designing a Physical Model OnlyChapter 12: Introducing Dimensional Data ModelingChapter 13: Reverse-Engineering a Data ModelChapter 14: Communicating with the ModelChapter 15: Improving a Data Quality and Managing DocumentationChapter 16: Introducing MetaData ModelingChapter 17: Exploring Data Modeling Working Practices About Author : Sharon Allen has worked in the field of data analysis for twenty-four years; ten as a business consumer of data and fourteen as a data/database modeler/architect. She has had the opportunity to experience many diverse industries - Medical, Aerospace, Entertainment (Hollywood), Manufacturing (toys, appliances, wet chemicals, metal part & assemblies), Transportation, Food Service, and is currently working for American Honda Motors as a Database Architect. She plans to finish a Masters Degree in Computer Science and possibly teach at a local college.Evan Terry has been in the IT industry for more than 15 years as a programmer/analyst, systems engineer, custom software consultant, senior developer, data analyst, and data architect, serving government and the private sector. He firmly believes that in order to succeed at developing complex systems, the IT professional must truly understand the business processes he supports. Evan tries to bridge the gap between the technical and the nontechnical by understanding the perspectives of both and helping the two groups communicate effectively.