dbt (data build tool) is an open-source data transformation tool that enables data analysts and engineers to transform data in their warehouse more effectively. It allows users to structure, transform, and test their data with SQL-based workflows, enabling better data quality and faster analytics.
dbt (data build tool) is like a kitchen appliance for your data—you give it raw data from your warehouse, and it helps you prepare it into a format that's ready to use. It's great for cleaning, organizing, and ensuring your data is in its best shape for analysis.
Unlike traditional ETL tools that tend to require significant infrastructure and may not scale well with the needs of modern data teams, dbt is developer-friendly and SQL-based, making it accessible and easy to use for analysts without extensive engineering expertise. It integrates seamlessly with modern data warehouses like Snowflake, Redshift, and BigQuery, exploiting their scalable compute resources for transformations, instead of managing separate infrastructure.