Data storage design, and awareness of how data needs to be utilized within an organization, is of prime importance in ensuring that company data systems work efficiently. Beginning Relational Data Modeling will lead you step by step through the process of developing an effective logical data model for your relational database model.

Autorentext
Sharon Allen has worked in the field of data analysis for 24 years: 10 as a business consumer of data and 14 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, and food service and is currently working for American Honda Motors as a database architect. She plans to finish a master's degree in computer science and possibly teach at a local college.

Klappentext

*Immediately accessible to anyone who must design a relational data model-regardless of prior experience *Concise, straightforward explanations to a usually complex/ jargon-rich discipline

*Examples are based on extensive author experience modeling for real business systems

Inhalt
Understanding and Organizing Data: Past and Present.- Introducing Relational Theory.- Understanding Relational Modeling Terminology.- Understanding Data Modeling Methods: Graphical Syntax.- Introducing Object-Oriented Data Modeling.- Examining Levels of Analysis.- How Data Models Fit Into Projects.- Building a Conceptual Model.- Building a Logical Model.- Transforming a Logical Model into a Physical Model.- Designing a Physical Model Only.- Introducing Dimensional Data Modeling.- Reverse-Engineering a Data Model.- Communicating with the Model.- Improving Data Quality and Managing Documentation.- Introducing Metadata Modeling.- Exploring Data Modeling Working Practices.