Design Databases with Oracle SQL Developer Data Modeler

In this practical guide, Oracle ACE Director Heli Helskyaho explains the process of database design using Oracle SQL Developer Data Modeler—the powerful, free tool that flawlessly supports Oracle and other database environments, including Microsoft SQL Server and IBM DB2. Oracle SQL Developer Data Modeler for Database Design Mastery covers requirement analysis, conceptual, logical, and physical design, data warehousing, reporting, and more. Create and deploy high-performance enterprise databases on any platform using the expert tips and best practices in this Oracle Press book.

• Configure Oracle SQL Developer Data Modeler
• Perform requirement analysis
• Translate requirements into a formal conceptual data model and process models
• Transform the conceptual (logical) model into a relational model
• Manage physical database design
• Generate data definition language (DDL) scripts to create database objects
• Design a data warehouse database
• Use subversion for version control and to enable a multiuser environment
• Document an existing database
• Use the reporting tools in Oracle SQL Developer Data Modeler
• Compare designs and the database

Design Databases with Oracle SQL Developer Data Modeler

In this practical guide, Oracle ACE Director Heli Helskyaho explains the process of database design using Oracle SQL Developer Data Modeler—the powerful, free tool that flawlessly supports Oracle and other database environments, including Microsoft SQL Server and IBM DB2. Oracle SQL Developer Data Modeler for Database Design Mastery covers requirement analysis, conceptual, logical, and physical design, data warehousing, reporting, and more. Create and deploy high-performance enterprise databases on any platform using the expert tips and best practices in this Oracle Press book.

• Configure Oracle SQL Developer Data Modeler
• Perform requirement analysis
• Translate requirements into a formal conceptual data model and process models
• Transform the conceptual (logical) model into a relational model
• Manage physical database design
• Generate data definition language (DDL) scripts to create database objects
• Design a data warehouse database
• Use subversion for version control and to enable a multiuser environment
• Document an existing database
• Use the reporting tools in Oracle SQL Developer Data Modeler
• Compare designs and the database