Zero Lap to Hero: Building a Formula 1 Analytics Stack with Python, dbt, and Postgres
SMRTR summary
Formula 1 racing generates crucial data for team decisions. A new analytics pipeline project using Python, PostgreSQL, and dbt aims to process this data. With the Ergast F1 API closing, Jolpica was chosen as the best alternative for historical data. The series will cover building a production-ready pipeline for data ingestion, transformation, and analysis, enabling strategic race insights. Future parts will detail code implementation, dbt transformations, and analytics applications.
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