As organizations increasingly rely on dbt to manage data transformations, the ability to build reliable, tested pipelines is essential for data professionals. This course guides you through dbt on Snowflake: from setting up your environment and building your first model to implementing advanced materializations, incremental loading, and Jinja macros.
Explore how to test and document your models, automate deployments with CI/CD pipelines, leverage the dbt Semantic Layer, and extend dbt with hooks and packages. Each module builds on the last, providing a structured path from foundational concepts to production-ready workflows through hands-on demonstrations that mirror real production environments.
This course was created by Mastering Snowflake. We are pleased to host this content in our library.
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