Enterprise Data Architecture Capstone

What Is the Data Engineering Lifecycle?

Follow the data from generation through ingestion, storage, transformation, and serving. Each stage changes what the next stage can rely on.

A source creates data; ingestion moves it; transformation prepares it; serving makes it useful to a consumer. Storage supports the work across these stages.

A stage’s output becomes the next stage’s assumption. Trace that handoff when deciding where validation, access control, and recovery belong.

Security, data management, DataOps, architecture, orchestration, and software engineering support the whole lifecycle. They are shared concerns, not a final step after the pipeline is built.