Connecting DBT to Snowflake
Connecting DBT to Snowflake: A Step-by-Step Guide with Best Practices Introduction In the modern data stack, DBT and Snowflake are a powerful combination. DBT enables modular, version-controlled data transformations using SQL, while Snowflake provides a scalable, cloud-native data warehouse. Connecting the two allows data teams to build reliable, testable, and automated pipelines that deliver clean, analytics-ready datasets. Whether you're using DBT Cloud or DBT Core (CLI) , this guide will walk you through the connection process and highlight best practices for configuration, security, and collaboration. Step 1: Set Up Your Snowflake Account Before connecting DBT, you need access to a Snowflake account. If you're new to Snowflake: Sign up for a trial account via Snowflake’s website. Choose a cloud provider and region that aligns with your organization’s infrastructure. Create a virtual warehouse for DBT transformations (e.g., transforming ). Create databases and schemas ...