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.
INTRODUCTION TO LOGICAL DATABASE DESIGN Understanding a Database Database Architectures Relational Databases Creating the Database System Development Life Cycle (SDLC) Systems Planning: Assessment and Feasibility System Analysis: Requirements System Analysis: Requirements Checklist Models Tracking and Schedules Design Modeling Functional Decomposition Diagram Data Flow Diagrams Data Dictionary Logical Structures and Decision Trees System Design: Logical SYSTEM DESIGN AND IMPLEMENTATION The ER Approach Entities and Entity Types Attribute Domains Attributes Set-Valued Attributes Weak Entities Constraints Lookup Tables and Consistency Modeling Approaches Relationships Cardinality Schemas Implementation: Converting the ERD Specifications and Documentation CONVERTING THE LOGICAL DATA MODEL Database Architecture SQL DDL Commands Data Retrieval DML Statements and Implicit Cursors SELECT Statements Cartesian Product DML: INSERT Commands DML: UPDATE Command DML: DELETE Statements Transaction Commands DCL Commands FORMAL DATA NORMALIZATION Definitions of Normal Forms Introduction to Relational Algebra Comparison Operations and Logical Operators Summary DATA DENORMALIZATION Historical Perspective on Disk Costs The Importance of Database Performance to the Logical Model Introducing Data Redundancy: Size versus Volatility The Theory of Dr. Ralph Kimball Pre-Joining Entities Together Pre-Aggregating Summary Information Non-First Normal Form Entities Horizontal and Vertical Partitioning for Performance Summary OBJECT-ORIENTED DESIGN Object-Oriented Terminology Object-Oriented Design Creating the Object Model Methods and Database Objects Summary OBJECT-RELATIONAL DESIGN Advantages of Object-Relational Databases Object Types Object Views Using Logical Pointers Comparison of Object-Oriented and Object-Relational Databases Creating the Object-Relational Design Summary DESIGNING REPLICATED DATABASES Manual Replication Techniques Standby Database Replication Using Triggers Replication Using Views One-Way Replication Writeable Replication Updateable Replication What Are Conflicts? Which Form of Replication is Right for You? Planning Your Replication Schema Summary DESIGN OF THE OLTP DATABASE Designing for Online Transaction Processing Normalization Data Storage SQL Reuse Database Locking and Waiting Deadlocks Rollbacks Indexing Summary DESIGN OF DATA WAREHOUSES AND DECISION SUPPORT SYSTEM DATABASES What Is a Data Warehouse? Gathering Data Staging and Processing Data Loading and Unloading Data Data Marts Designing the Data Warehouse Summary
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