Telemetry import flow
Walk through the FastF1 → BigQuery pipeline the same way the Colab notebook does — cell by cell — with sample shapes at each step. No live BigQuery calls; this is a guide.
Cells 0–1
Select & configure
The Colab notebook uses widgets to pick years (2018+), an event name, session types (FP1…R), and whether to skip data already in BigQuery. The jobs admin form is the same gate: params become JobParams before the worker runs.
Year(s)
2025
Race
Australian Grand Prix
Sessions
R
Skip existing
yes
Pipeline steps — click to inspect
Load FastF1
Cell 2Download session telemetry and laps from FastF1.
For each year × session, call fastf1.get_session and load telemetry + laps. Sessions already present in BigQuery are skipped when skip-existing is on. Invalid or empty events are dropped.
Inputs
YearEvent nameSession type
Outputs
In-memory FastF1 Session objects
Sample data
| year | session | event | drivers | laps |
|---|---|---|---|---|
| 2025 | R | Australian Grand Prix | 20 | 1142 |