Investigates the design of modern database management systems, enabling the efficient storage and retrieval of company data Provides an introduction to logical database design and the application of design principles toward specific functions Explores formal data normalization and data denormalization Covers the terminology and steps of object-oriented design Examines aspects of object-relational design, including advantages and object types Discusses the design of replicated, OLTP, data warehouse, and decision support system (DSS) databases Until now, almost all books on logical database design focused exclusively on relational design. However, modern database management systems have added powerful features that have driven a movement away from truly normalized database design. Logical Database Design Principles reflects these recent changes. The book begins by covering traditional logical design principles, followed by an analysis of the normalizing and modeling of data. It then examines designing for specific purposes, such as object-oriented databases, online transaction processing (OLTP), and data warehouses. As the text progresses, it moves from the purely logical into some physical design, as determined by how the features of modern databases are implemented. Because this is a logical-design book, the authors attempt to make the examples database-neutral. Because various vendors implement features in different ways, this volume sometimes offers examples from a specific database management system. When necessary, it highlights a specific application, clearly demonstrating the concept being discussed.