Oracle Data Modeling and Relational Database Design Ed 2.1 Course Overview

To ensure a rewarding learning experience in the Oracle Data Modeling and Relational Database Design Ed 2.1 course, the following prerequisites are recommended for participants:

• Basic understanding of relational database concepts and structures, such as tables, primary keys, foreign keys, and indexes.
• Familiarity with data processing concepts, including the relationship between data and business processes.
• Experience with using a computer and navigating the operating system, especially file management and directory structures.
• Some exposure to SQL (Structured Query Language) and database management systems, particularly Oracle Database, is beneficial but not mandatory.
• An analytical mindset with a willingness to solve complex problems and engage with abstract concepts.

These prerequisites are designed to provide a foundation that will help you to fully benefit from the course content. If you are new to these concepts, it is advised to take introductory courses or self-study to establish a baseline of knowledge before attending.

Target Audience for Oracle Data Modeling and Relational Database Design Ed 2.1

The Oracle Data Modeling and Relational Database Design Ed 2.1 course is tailored for professionals involved in database design and development.

• Database Designers
• Data Modelers
• Database Administrators
• Application Developers
• IT Project Managers
• Data Analysts
• Business Analysts
• System Analysts
• Solution Architects
• Technical Consultants
• Students pursuing a degree in IT or Computer Science with a focus on databases

Learning Objectives - What you will Learn in this Oracle Data Modeling and Relational Database Design Ed 2.1?

Introduction to Learning Outcomes:

The Oracle Data Modeling and Relational Database Design course empowers students with the skills to effectively model, design, and generate databases using Oracle SQL Developer Data Modeler.

Learning Objectives and Outcomes:

• Understand the importance of data modeling and the practical applications of database design in real-world scenarios.
• Gain proficiency in documenting business requirements and translating them into technical specifications.
• Learn to create and validate Data Flow Diagrams (DFDs) to visualize processes and data movement.
• Acquire the ability to build, edit, and manage Entity Relationship Diagrams (ERDs) using Oracle SQL Developer Data Modeler.
• Develop skills in identifying entities, attributes, and relationships integral to a logical data model.
• Master the assignment of unique identifiers and understand their role in ensuring data integrity.
• Apply normalization techniques to optimize database schema and ensure efficient data organization.
• Practice validating relationships, resolving many-to-many relationships, and modeling hierarchical and recursive data structures.
• Understand how to define and use data types, domains, and constraints to enforce data quality.
• Learn to map ERDs to a relational database design and engineer the design to a physical database implementation, including DDL generation and database modification.