Includes index.

Contents: Preface. I. Getting Started With Design. 1. Introduction What Is Design? A Case Study Looking at Alternative Methods and Approaches Planning the Design Phase Design Tasks. 2. Why Is Design So Important for Oracle? Designing for Specific Architectures Designing for Performance Other Design Considerations Designing for Oracle7 Introducing Oracle8. 3. Data Modeling Types of Models What Is Data Modeling? Entity Relationship Diagrams Quality-Assuring the Conceptual Information Model Entity Life Histories and Data Flow Diagrams Data-Driven Design and Meta Models. II. Designing the Database. 4. Deciding When to Denormalize Denormalization: What, Why, and When? Methods of Implementing Denormalization Other Types of Denormalization. 5. Choosing Datatypes and Nulls Available Datatypes Numeric Data Date and Time (Temporal) Data String Data Unstructured Data and BLOBs Other Datatypes Null Values. 6. Choosing Keys and Indexes Primary Keys Other Keys Indexes: An Overview Index Types and Indexing Techniques. 7. Dealing with Temporal Data The Problem with Temporal Data Design Issues for Temporal Databases Temporal Data: A Summary. 8. Loading and Unloading Data Dealing with External Systems Data Compatibility Issues Data Migration Steps Data Transformation File Formats Ordering, Recovery, and Commit Frequency Using SQL*Loader Oracle7 to Oracle7: a Special Case Outbound Data. 9. Deciding on Object Placement and Storage Specifying Object Placement Sizing Specifying Storage Parameters Creating Scripts Implementation Planning. 10. Safeguarding Your Data Archiving Auditing Security Backup. III. Designing for Specific Architectures. 11. Designing for Client/Server Why Client/Server? What Is Client/Server? What Kind of Hardware? Basic Design Issues for Client/Server Designing for Client/Server SQL*Net Basics Anatomy of a SQL Statement Cutting in the Middle Man Special Design Considerations. 12. Designing for Distributed Databases When Should You Use Distributed Databases? Evolution of Oracle Support for Data Distribution Selecting a Data Distribution Strategy Example Scenarios Using Distributed Database for Fallback Other Design Considerations Data Distribution Summary. 13. Designing for Data Warehouses Why Data Warehouses? What Is a Data Warehouse? Design Issues for Data Warehouses Extracting and Loading the Data Meta Data Transformation Types and Methods Retrieving the Data via Data Mining and OLAP Tools. 14. Designing for Parallel Processing Why Do We Need Parallelism? Designing to Achieve Parallelism Parallel Query Option (PQO) Oracle Parallel Server (OPS). IV. Designing the Code Modules. 15. Introduction to Code Design Analysis Deliverables Mapping Functions to Modules Don't Forget the System Modules Source and Version Control Template Code Designing for Testing CASE Products in Run Unit Design. 16. Determining Where to Locate the Processing Data Rules vs. Process Rules vs. Interface Rules Logic Placement Locking Issues How Does This Relate to Three-Tier Architectures? 17. Metrics, Prototypes, and Specifications Developing Design and Build Metrics for Modules Banishing Megamodules Shall We Prototype? Where are my Specs? Guidelines for Module Specifications Specifying Screens and Reports Specifying Batch Processes. 18. Locking Locking Strategies Deadlocks Serializability Other Design Issues. 19. Selecting the Toolset Types of Tools Which Selection Criteria Are Important? Client/Server Tools Designing for the World Wide Web. 20. Designing Screens, Reports, Batch Programs, and More Designing Screens Designing Reports Designing Batch Programs Error Handling Navigation Online Help. V. Appendixes. A. Off-the-Shelf Packages Evaluating a Package Does It Fit? Can It Be Tailored? The Big Data Model Issue. B. Tricks of the Trade Fixing Those Mutating Tables Dealing with the Millennium Date Problem: An Oracle Perspective Providing User Extensibility. Index

Covering database, code, and architecture design for the Oracle operating system, this text is arranged in four sections including an overview of Oracle and data modelling; and aspects of database design including denormalization, data types, nulls, keys and indexes.