Oracle GoldenGate 12c: Integrate Big Data Ed 1 — Lesson 3: Transactions, Checkpoints, Security, Error Handling, and Restartability

Technical Scope

• transaction grouping, ordering, duplicate behavior, and delivery semantics
• checkpoints, recovery positions, restart, replay, and idempotent consumers
• TLS, authentication, secrets, Kerberos awareness, and secure endpoints
• error policies, discard or dead-letter patterns, retries, and quarantine

Instructor Demonstration

Demonstrate transaction grouping, ordering, duplicate behavior, and delivery semantics within a real-time data pipeline publishing Oracle change events to a big data lake and streaming platform with schema control, delivery guarantees, observability, and replay, then capture the exact configuration, command, transaction, report, trace, or code evidence that proves the expected result.

Applied Workshop

Implement a controlled workshop covering checkpoints, recovery positions, restart, replay, and idempotent consumers and TLS, authentication, secrets, Kerberos awareness, and secure endpoints, then test a failure, exception, or business-control scenario involving error policies, discard or dead-letter patterns, retries, and quarantine.

1. Confirm the environment, identities, data, dependencies, controls, and expected result.
2. Complete the product-specific configuration, development, analysis, or business-process task.
3. Capture commands, configuration, output, logs, transactions, reports, or test evidence.
4. Explain the operational, security, performance, data-quality, or business trade-off.

Validation Standard

The Transactions, Checkpoints, Security, Error Handling, and Restartability result must be reproducible, traceable to approved inputs, and consistent with expected Oracle product or business-process behavior.

• The intended target, scope, and ownership are verified.
• The result is supported by reproducible evidence and expected-value checks.
• Security, performance, reliability, data quality, and support impact are reviewed.
• Unexpected behavior is investigated before acceptance or release.

Failure Analysis

Diagnose issues in transaction grouping, ordering, duplicate behavior, and delivery semantics, checkpoints, recovery positions, restart, replay, and idempotent consumers, TLS, authentication, secrets, Kerberos awareness, and secure endpoints, or error policies, discard or dead-letter patterns, retries, and quarantine without making an unverified production change.

Learners isolate the smallest proven cause, apply a reversible correction, rerun validation, and record the preventive action.

Practical Outcome

Complete a validated implementation or analysis for Transactions, Checkpoints, Security, Error Handling, and Restartability and defend the result with documented evidence.