Oracle Fusion Cloud HCM: Analytics Publisher — Lesson 2: Data models, SQL queries, parameters, lists of values, event triggers, data validation

Learning Objectives

• Explain how data models, SQL queries, parameters, lists of values, event triggers, data validation changes the end-to-end technical or business process.
• Configure data models, SQL queries, parameters, lists of values, event triggers, data validation with explicit inputs, controls, outputs, exceptions, and rollback points.
• Prove the implementation using template and layout output and document unresolved risk.

Detailed Topics

• Data models
• SQL queries
• parameters
• lists of values
• event triggers
• data validation
• Ownership, prerequisites, data, and acceptance criteria for data models, SQL queries, parameters, lists of values, event triggers, data validation
• Security, control, integration, performance, recovery, compliance, and support implications

Instructor Demonstration

Demonstrate data models, SQL queries, parameters, lists of values, event triggers, data validation within an HCM Analytics Publisher reporting solution designed, secured, scheduled, and supported for consistent workforce document delivery. Use representative data and capture template and layout output so another practitioner can reproduce and verify the result.

Hands-On Exercise

Complete a controlled activity focused on data models, SQL queries, parameters, lists of values, event triggers, data validation. Introduce a realistic case of template renders incorrect formatting, isolate the cause, apply a reversible correction, and rerun the acceptance checks.

1. Record the requirement, environment, identities, dependencies, data, controls, and expected result.
2. Perform the workflow and capture course-specific evidence before and after each material change.
3. Test normal, boundary, failure, security, reconciliation, recovery, and operational conditions.
4. Document the root cause, correction, rollback, owner, support action, and next improvement priority.

Scenario Analysis

• Map the process from initiating condition through each transformation to the final output.
• Locate the control point most likely to prevent or expose template renders incorrect formatting.
• Recommend monitoring, escalation, and operational handover requirements.

Troubleshooting Guidance

When data models, SQL queries, parameters, lists of values, event triggers, data validation does not produce the expected result, confirm scope, effective dates, identities, data context, dependencies, and recent changes. Review template and layout output before modifying configuration or data. Test one reversible hypothesis at a time, verify recovery, and confirm that the fix does not create a new control, security, performance, compliance, or integration defect.

Validation Checklist

• Prerequisites, ownership, data context, settings, and expected outcomes are documented.
• The result is reproducible and supported by template and layout output.
• Security, controls, data quality, integration, performance, recovery, compliance, and support conditions are reviewed.
• Exceptions, corrective action, rollback, approvals, monitoring, and handover are recorded.

Lesson Outcome

Learners can apply Data models, SQL queries, parameters, lists of values, event triggers, data validation in a realistic Oracle Fusion Cloud HCM: Analytics Publisher situation and defend the result with course-specific evidence.