AWS DEA-C01 ingestion guide covering sources, transforms, orchestration, code patterns, and loading decisions.
This is the heaviest DEA-C01 domain because most data-platform decisions start here. The exam wants you to distinguish streaming from batch, choose the right transformation engine, orchestrate multi-step workflows cleanly, and avoid fragile pipeline logic.
AWS currently weights Data Ingestion and Transformation at 34% of scored content.
| Lesson | Focus |
|---|---|
| 1.1 Ingestion Patterns, Sources & Triggers | Learn streaming versus batch ingestion, API consumption, triggers, schedulers, and replayability. |
| 1.2 Transformation Services, Formats & Processing Trade-Offs | Learn service selection for transformation, format conversion, integration, and cost-performance trade-offs. |
| 1.3 Orchestration, Workflows & Notifications | Learn workflow coordination, serverless orchestration, resilience, and alerting. |
| 1.4 Programming, IaC & Code Performance | Learn the coding, Lambda, IaC, CI/CD, and software-engineering concepts DEA-C01 expects data engineers to recognize. |