This book provides a practical and proven approach to designing relational databases. It contains two complementary design methodologies: logical data modeling and relational database design. The design methodologies are independent of product-specific implementations and have been applied to numerous relational product environments.
0201114348B04062001
This book covers relational database theory as well as providing a solid introduction to SQL, the international standard for the relational database data manipulation language.
"This book takes the somewhat daunting process of database design and breaks it into completely manageable and understandable components.
The technique described in this book can be used by students for quickly developing relational databases for their applications, and by professionals for developing sturdy, reliable, and accurate relational database models for their ...
A Practical Guide to Relational Database Design: Making the Design Process Work for Your Application
Step by step, Database Design for Mere Mortals ® , Third Edition, shows you how to design databases that are soundly structured, reliable, and flexible, even in modern web applications.
The rapidly increasing volume of information contained in relational databases places a strain on databases, performance, and maintainability: DBAs are under greater pressure than ever to optimize database structure for...
The #1 Easy, Commonsense Guide to Database Design—Now Updated Foreword by Michelle Poolet, Mount Vernon Data Systems LLC Michael J. Hernandez's best-selling Database Design for Mere Mortals has earned worldwide respect as the simplest way ...
A Practical Guide to Relational Database Design
Both of these solutions are more difficult in that they require a 3GL program ( or at least an awk script ) , but they are much more efficient and much safer . Using a direct approach offers several advantages : The only database ...
This book provides the conceptual and practical information necessary to develop a design and management scheme that ensures data accuracy and user satisfaction while optimizing performance, regardless of experience level or choice of DBMS.