From 17bc23ada5ef5e65c941a2b8eb8c0bea63cc6059 Mon Sep 17 00:00:00 2001 From: Ly Nguyen <107218380+nghi-ly@users.noreply.github.com> Date: Fri, 10 Nov 2023 14:54:50 -0800 Subject: [PATCH] Update website/docs/docs/dbt-versions/release-notes/24-Nov-2022/dbt-databricks-unity-catalog-support.md --- .../24-Nov-2022/dbt-databricks-unity-catalog-support.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/docs/docs/dbt-versions/release-notes/24-Nov-2022/dbt-databricks-unity-catalog-support.md b/website/docs/docs/dbt-versions/release-notes/24-Nov-2022/dbt-databricks-unity-catalog-support.md index ee46cb5f558..ce702434cf3 100644 --- a/website/docs/docs/dbt-versions/release-notes/24-Nov-2022/dbt-databricks-unity-catalog-support.md +++ b/website/docs/docs/dbt-versions/release-notes/24-Nov-2022/dbt-databricks-unity-catalog-support.md @@ -8,6 +8,6 @@ tags: [Nov-2022, v1.1.66.15] dbt Cloud is the easiest and most reliable way to develop and deploy a dbt project. It helps remove complexity while also giving you more features and better performance. A simpler Databricks connection experience with support for Databricks’ Unity Catalog and better modeling defaults is now available for your use. -For all the Databricks customers already using dbt Cloud with the dbt-spark adapter, you can now [migrate](/guides/migrate-from-spark-to-databricks) your connection to the [dbt-databricks adapter](https://docs.getdbt.com/reference/warehouse-setups/databricks-setup) to get the benefits. [Databricks](https://www.databricks.com/blog/2022/11/17/introducing-native-high-performance-integration-dbt-cloud.html) is committed to maintaining and improving the adapter, so this integrated experience will continue to provide the best of dbt and Databricks. +For all the Databricks customers already using dbt Cloud with the dbt-spark adapter, you can now [migrate](/guides/migrate-from-spark-to-databricks) your connection to the [dbt-databricks adapter](/reference/warehouse-setups/databricks-setup) to get the benefits. [Databricks](https://www.databricks.com/blog/2022/11/17/introducing-native-high-performance-integration-dbt-cloud.html) is committed to maintaining and improving the adapter, so this integrated experience will continue to provide the best of dbt and Databricks. Check out our [live blog post](https://www.getdbt.com/blog/dbt-cloud-databricks-experience/) to learn more.