Oracle GoldenGate 23ai: Fundamentals (ELS) — Lesson 1: GoldenGate 23ai Architecture, Processes, Trails, Checkpoints, and Deployment Models

Learning Objectives

• Assess prerequisites, ownership, dependencies, and failure conditions for goldengate 23ai architecture, processes, trails, checkpoints, and deployment models.
• Operate the course-specific workflow while recording evidence at each material checkpoint.
• Resolve the solution against security, control, reliability, performance, and support criteria.

Detailed Topics

• GoldenGate 23ai Architecture
• Processes
• Trails
• Checkpoints
• Deployment Models
• ownership, prerequisites, data, and acceptance criteria for goldengate 23ai architecture, processes, trails, checkpoints, and deployment models
• security, control, integration, performance, recovery, and support implications

Instructor Demonstration

Demonstrate goldengate 23ai architecture, processes, trails, checkpoints, and deployment models within a database replication flow configured for continuous change delivery with recoverable checkpoints and measurable lag. Use representative data and capture deployment configuration, process status so another practitioner can verify the result.

Hands-On Exercise

Complete a controlled Oracle GoldenGate 23ai: Fundamentals (ELS) activity focused on goldengate 23ai architecture, processes, trails, checkpoints, and deployment models. Introduce a realistic case of missing supplemental logging, isolate its 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

• Establish current state, desired state, constraints, and acceptable service impact.
• Compare alternative implementation or diagnostic approaches and their rollback consequences.
• Document the decision, evidence, exception, corrective action, and measurable improvement target.

Troubleshooting Guidance

When goldengate 23ai architecture, processes, trails, checkpoints, and deployment models does not produce the expected result, confirm scope, effective dates, identities, data context, dependencies, and recent changes. Review the most relevant deployment configuration, process status before editing configuration. Test one reversible hypothesis at a time, verify recovery, and confirm that the fix does not create missing supplemental logging elsewhere.

Validation Checklist

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

Lesson Outcome

Learners can apply GoldenGate 23ai Architecture, Processes, Trails, Checkpoints, and Deployment Models in a realistic Oracle GoldenGate 23ai: Fundamentals (ELS) situation and defend the result with course-specific evidence.