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matthewshaver authored Dec 11, 2023
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Expand Up @@ -62,7 +62,7 @@ Let’s [create a Databricks SQL warehouse](https://docs.databricks.com/sql/admi
5. Click *Create*
6. Configure warehouse permissions to ensure our service principal and developer have the right access.

We are not covering python in this post but if you want to learn more, check out these [docs](https://docs.getdbt.com/docs/build/python-models#specific-data-platforms). Depending on your workload, you may wish to create a larger SQL Warehouse for production workflows while having a smaller development SQL Warehouse (if you’re not using Serverless SQL Warehouses).
We are not covering python in this post but if you want to learn more, check out these [docs](https://docs.getdbt.com/docs/build/python-models#specific-data-platforms). Depending on your workload, you may wish to create a larger SQL Warehouse for production workflows while having a smaller development SQL Warehouse (if you’re not using Serverless SQL Warehouses). As your project grows, you might want to apply [compute per model configurations](/reference/resource-configs/databricks-configs#specifying-the-compute-for-models).

## Configure your dbt project

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