more docs

.github/workflows/dbt_deploy.yml

@@ -41,6 +41,8 @@ jobs:
           SNOWFLAKE_PASSWORD: ${{ secrets.SNOWFLAKE_PASSWORD }}
           SNOWFLAKE_ROLE: ${{ secrets.SNOWFLAKE_ROLE }}
 
+      # TODO: comment this step out if you don't have Datafold Cloud yet
+      # TODO: replace --ci-config-id 345 with your unique datafold ci config id
       - name: submit artifacts to datafold
         run: |
           set -ex

.github/workflows/dbt_staging.yml

@@ -55,6 +55,7 @@ jobs:
           SNOWFLAKE_ROLE: ${{ secrets.SNOWFLAKE_ROLE }}
           SNOWFLAKE_SCHEMA: "${{ format('{0}_{1}', 'PR_NUM', steps.findPr.outputs.pr) }}"
 
+      # TODO: comment this step out if you don't have Datafold Cloud yet
       # TODO: replace --ci-config-id 345 with your unique datafold ci config id
       - name: submit artifacts to datafold
         run: |

README.md

@@ -42,5 +42,12 @@ dbt build --target prod
 git checkout -b feature/your-feature
 ```
 
-7. Make some changes to your dbt models and push to your remote repository
+7. Make some changes to your dbt models and push to your remote repository. You can copy and paste the examples here and run it locally: [example_dbt_changes](example_dbt_changes/)
 
+```bash
+dbt build
+```
+
+8. See your CI pipeline run and test your changes in your pull request
+
+9. Merge the pull request and watch as your changes are deployed to production and your staging schema is cleaned up