Connect it. Test it. Ship it. / CORE PATH
Build 03 · a rerunnable data pipeline
Connect extraction, validation, quarantine and loading into one traceable run.
Use your ETL/ELT background to explain what each stage promises.
Understand the idea
Connect extraction, validation, quarantine and loading into one traceable run. Use your ETL/ELT background to explain what each stage promises.
Work through the practice with a tiny fixture, predict the result before running it, and record one boundary case. Use the exit check as evidence before moving on.
What to learn
- Run the supplied offline reference pipeline and inspect every artifact.
- Add an HTTP adapter as a separate extension, keeping fixture tests offline.
- Export a flat, typed Power BI-ready table and document grain.
Practice on your own data
Complete projects/03-api-to-sql.md and compare against projects/pipeline.py.
Practice this lesson in the Python lab →
A malformed source header fails before loading; reruns are stable; reject reasons survive.
Prerequisites
Video and playlist companions
Choose one explanation for the concept, then attempt the practice. These are topic mappings, not a claim that every linked lesson covers every outcome.
Python SQLite Tutorial: Build a Python project with a SQLite database
Loads YouTube on request. Open on YouTube ↗ if the owner restricts embedding.
Sources and further reading
- pandas · getting started tutorials ↗Official documentation
- Python language tutorial ↗Official documentation
- Python SQLite Tutorial: Build a Python project with a SQLite database ↗User-selected YouTube resource
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