Oracle Data Modeling and Relational Database Design Ed 2.1 — Lesson 2: Logical Modeling, Keys, and Normalization

Technical Scope

• candidate, primary, alternate, and foreign key design
• functional dependencies and first through third normal form
• associative entities, recursive relationships, and temporal facts
• controlled denormalization criteria, anomalies, and traceability to requirements

Instructor Demonstration

The instructor will configure and verify candidate, primary, alternate, and foreign key design in the context of a multi-channel order platform whose data model must preserve business meaning, integrity, performance, and controlled evolution. The demonstration captures commands, configuration, transactions, output, logs, plans, or screenshots that prove both the intended behavior and the control boundary.

Applied Workshop

Learners complete a controlled exercise covering functional dependencies and first through third normal form and associative entities, recursive relationships, and temporal facts, then introduce a realistic exception involving controlled denormalization criteria, anomalies, and traceability to requirements. They record assumptions, exact steps, expected and observed results, a reversible correction, and the evidence required for operational acceptance.

1. Confirm scope, identities, data, dependencies, controls, and expected result.
2. Perform the product-specific configuration, development, analysis, or business-process task.
3. Capture reproducible technical or transaction evidence and compare it with the expected value.
4. Explain the operational, security, performance, data-quality, or business trade-off.

Validation Standard

Acceptance for Logical Modeling, Keys, and Normalization requires the result to be reproducible, traceable to approved inputs, consistent with the relevant Oracle or platform behavior, and supported by checks for security, data integrity, reliability, performance, and recoverability.

• The intended target, scope, and ownership are verified.
• Expected-value and negative-path checks pass.
• Security, reliability, performance, data quality, and support impacts are reviewed.
• Unexpected behavior is resolved before acceptance.

Failure Analysis

When the result differs from expectation, learners isolate the smallest proven cause across candidate, primary, alternate, and foreign key design, functional dependencies and first through third normal form, associative entities, recursive relationships, and temporal facts; they avoid speculative production changes, preserve evidence, apply the lowest-risk correction, rerun the test, and document prevention.

Practical Outcome

Complete and defend a validated result for Logical Modeling, Keys, and Normalization with a reusable implementation record or runbook.