Modern businesses need modern data strategies built on platforms that support agility, growth, and operational efficiency. Using dbt with Snowflake, data teams can quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. 

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.
In Partnership With:

  • Katherine Brock

    Solutions Architect
    dbt labs

  • Ripu Jain

    Senior Partner Sales Engineer

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