![]() In dbt, we work with models, which is a sql file with a select statement. dbt does the T in ELT (Extract, Load, Transform) processes. Then the raw data is transformed into usable tables, using SQL queries run on the data warehouse.ĭbt provides an easy way to create, transform, and validate the data within a data warehouse. In an ELT pipeline, the raw data is loaded(EL) into the data warehouse. If you are keen to understand why dbt is widely used, please read this article. If you are a student, analyst, engineer, or anyone in the data space and are curious about what dbt is and how to use it.
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