Data Engineering Overview

What this topic covers

Data engineering is mostly disciplined movement of data with predictable schemas, reproducible jobs, and good failure recovery.

Revision checkpoints

• Understand ingestion, transform, and serving layers.
• Keep pipelines idempotent and observable.
• Document assumptions about freshness and quality.

select run_date, status
from pipeline_runs
order by run_date desc;