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samples/dbt/README.md

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# dbt BigFrames Integration
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This repository provides simple examples of using **dbt Python models** with **BigQuery** in **BigFrames** mode.
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It includes basic configurations and sample models to help you get started quickly in a typical dbt project.
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## Highlights
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- `profiles.yml`: configures your connection to BigQuery.
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- `dbt_project.yml`: configures your dbt project - **dbt_sample_project**.
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- `dbt_bigframes_code_sample_1.py`: An example to read BigQuery data and perform basic transformation.
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- `dbt_bigframes_code_sample_2.py`: An example to build an incremental model that leverages BigFrames UDF capabilities.
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## Requirements
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Before using this project, ensure you have:
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- A [Google Cloud account](https://cloud.google.com/free?hl=en)
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- A [dbt Cloud account](https://www.getdbt.com/signup) (if using dbt Cloud)
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- Python and SQL basics
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- Familiarity with dbt concepts and structure
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For more, see:
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- https://docs.getdbt.com/guides/dbt-python-bigframes
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- https://cloud.google.com/bigquery/docs/dataframes-dbt
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