Oracle Data Integrator 12c: Integration and Administration Ed 3 — Lesson 4: Deployment, Scheduling, Monitoring, and Recovery

Technical Scope

• scenario generation, versioning, smart export/import, and environment promotion
• schedules, agents, run-time parameters, variables, and dependency sequencing
• Operator monitoring, sessions, steps, statistics, logs, and root-cause isolation
• restart, rollback, cleanup, repository recovery, and production support handover

Instructor Demonstration

The instructor models scenario generation, versioning, smart export/import, and environment promotion, then connects it to schedules, agents, run-time parameters, variables, and dependency sequencing. The demonstration captures the exact configuration, transaction, command, query, log, or screen evidence needed to prove intended behavior and the applicable control boundary.

Applied Workshop

Learners execute a guided lab focused on schedules, agents, run-time parameters, variables, and dependency sequencing and Operator monitoring, sessions, steps, statistics, logs, and root-cause isolation. The exercise introduces a realistic exception related to restart, rollback, cleanup, repository recovery, and production support handover and requires a reversible correction supported by before-and-after evidence.

1. Confirm scope, identities, data, dependencies, controls, and expected result.
2. Perform the product-specific configuration or analysis and record exact steps.
3. Validate functional behavior, security, data integrity, and operational observability.
4. Introduce the defined failure condition, diagnose the cause, and apply a safe correction.
5. Document rollback, acceptance evidence, unresolved risk, and ownership.

Validation Standard

Acceptance requires accurate handling of Operator monitoring, sessions, steps, statistics, logs, and root-cause isolation, traceable proof for scenario generation, versioning, smart export/import, and environment promotion, and a repeatable recovery path for restart, rollback, cleanup, repository recovery, and production support handover. Results must be understandable to both implementers and operational support teams.

Failure Analysis

Learners compare symptoms, logs, state, dependencies, and recent changes when restart, rollback, cleanup, repository recovery, and production support handover occurs. The final diagnosis must separate the immediate fix from the preventive control.

Practical Outcome

The completed output is a tested deployment, scheduling, monitoring, and recovery implementation or analysis, with validation evidence, troubleshooting notes, rollback guidance, and a concise operational handover.