In this hands-on lab, you’ll learn how to:
- Create data transformation pipelines using dbt, Snowflake SQL, and Snowpark using Formula 1 data
- Use SQL versus Python for data transformations
- Apply data quality tests, document, and deploy to get you ready for ML workflows
- Utilizing the Snowflake/dbt Quickstart.
What you’ll build:
- A set of data analytics and prediction pipelines using Formula 1 data leveraging dbt Cloud and Snowflake, making use of best practices and code promotion between environments.
- We will create insights for:
1. Finding the lap time average and rolling average through the years
2. Predicting the position of each driver based on a decade of data
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