From c0293ac1a5c1009a4c88ca9f04c769ce5403cf5c Mon Sep 17 00:00:00 2001 From: Natalie Fiann Date: Mon, 28 Oct 2024 16:36:03 +0000 Subject: [PATCH] Added reusable snippet to core doc --- .../docs/docs/core/connect-data-platform/bigquery-setup.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/website/docs/docs/core/connect-data-platform/bigquery-setup.md b/website/docs/docs/core/connect-data-platform/bigquery-setup.md index eedc3646f89..8b1867ef620 100644 --- a/website/docs/docs/core/connect-data-platform/bigquery-setup.md +++ b/website/docs/docs/core/connect-data-platform/bigquery-setup.md @@ -390,9 +390,9 @@ my-profile: ### Running Python models on Dataproc -To run dbt Python models on GCP, dbt uses companion services, Dataproc and Cloud Storage, that offer tight integrations with BigQuery. You may use an existing Dataproc cluster and Cloud Storage bucket, or create new ones: -- https://cloud.google.com/dataproc/docs/guides/create-cluster -- https://cloud.google.com/storage/docs/creating-buckets +import BigQueryDataproc from '/snippets/_bigquery-dataproc.md'; + + Then, add the bucket name, cluster name, and cluster region to your connection profile: