dbt is a powerful data transformation tool that supports SQL transformation and model creation. It was originally created in Python but is intended for SQL transformation. However, with the trend towards language convergence among various data warehouse vendors, the trend towards support for Python in dbt is on the rise.
This article covers how to create a dbt Python model for use with Snowflake, Databricks, Google BigQuery and third-party adapters such as dbt-fal. The article explores the benefits of using Python with dbt, including being able to apply machine learning techniques to data transformation.
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