This lesson develops GoldenGate Big Data Architecture, Capture, Trails, Adapters, and Handlers within Oracle GoldenGate 12c: Integrate Big Data Ed 1.
The activity is anchored to 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, keeping every implementation, analysis, administration, or support decision specific to this course.
Demonstrate GoldenGate capture and trail architecture for big data delivery 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.
Implement a controlled workshop covering Java adapter, handler framework, property files, classpath, and dependencies and source definitions, metadata, schema evolution, and transaction boundaries, then test a failure, exception, or business-control scenario involving environment setup, connectivity, sample change flow, and baseline.
The GoldenGate Big Data Architecture, Capture, Trails, Adapters, and Handlers result must be reproducible, traceable to approved inputs, and consistent with expected Oracle product or business-process behavior.
Diagnose issues in GoldenGate capture and trail architecture for big data delivery, Java adapter, handler framework, property files, classpath, and dependencies, source definitions, metadata, schema evolution, and transaction boundaries, or environment setup, connectivity, sample change flow, and baseline without making an unverified production change.
Learners isolate the smallest proven cause, apply a reversible correction, rerun validation, and record the preventive action.
Complete a validated implementation or analysis for GoldenGate Big Data Architecture, Capture, Trails, Adapters, and Handlers and defend the result with documented evidence.