Data Pipelines (Concept)

Summary

The chain of steps — extract, transform, load, validate — that moves raw data into a form models can train on, run reliably and repeatably.

• 1Diagram a data pipeline for a project you're building end-to-end.
• 2Learn why pipelines need to be idempotent and rerunnable.
• 3Identify where data quality checks should sit in a pipeline.