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In this project, we have a Formula 1 dataset covering races, drivers, constructors, qualifying, circuits, lap times, pit stops, and championships from 1950 to the 2023 season. The data needs to be loaded into a Snowflake database.
1. We first load the different datasets into Python and then process some transformations.
2. We create a connection between Python and Snowflake and create a database.
3. We create a Snowflake table using Python.
4. We Build a data model.
5. We load the different data frames into a Snowflake.