Fix old redirects, remove duplicate steps

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](/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](/docs/core/connect-data-platform/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.

website/docs/docs/deploy/deploy-environments.md

@@ -13,7 +13,7 @@ Deployment environments in dbt Cloud are crucial for deploying dbt jobs in produ
 A dbt Cloud project can have multiple deployment environments, providing you the flexibility and customization to tailor the execution of dbt jobs. You can use deployment environments to [create and schedule jobs](/docs/deploy/deploy-jobs#create-and-schedule-jobs), [enable continuous integration](/docs/deploy/continuous-integration), or more based on your specific needs or requirements.
 
 :::tip Learn how to manage dbt Cloud environments
-To learn different approaches to managing dbt Cloud environments and recommendations for your organization's unique needs, read [dbt Cloud environment best practices](/best-practices/environment-setup/1-env-guide-overview).
+To learn different approaches to managing dbt Cloud environments and recommendations for your organization's unique needs, read [dbt Cloud environment best practices](/guides/set-up-ci).
 ::: 
 
 This page reviews the different types of environments and how to configure your deployment environment in dbt Cloud. 
@@ -186,7 +186,7 @@ This section allows you to determine the credentials that should be used when co
 
 ## Related docs
 
-- [dbt Cloud environment best practices](/best-practices/environment-setup/1-env-guide-overview)
+- [dbt Cloud environment best practices](/guides/set-up-ci)
 - [Deploy jobs](/docs/deploy/deploy-jobs)
 - [CI jobs](/docs/deploy/continuous-integration)
 - [Delete a job or environment in dbt Cloud](/faqs/Environments/delete-environment-job)

website/docs/docs/environments-in-dbt.md

@@ -33,7 +33,7 @@ Configure environments to tell dbt Cloud or dbt Core how to build and execute yo
 
 ## Related docs
 
-- [dbt Cloud environment best practices](/best-practices/environment-setup/1-env-guide-overview)
+- [dbt Cloud environment best practices](/guides/set-up-ci)
 - [Deployment environments](/docs/deploy/deploy-environments)
 - [About dbt Core versions](/docs/dbt-versions/core)
 - [Set Environment variables in dbt Cloud](/docs/build/environment-variables#special-environment-variables)

website/docs/guides/dbt-python-snowpark.md

@@ -67,27 +67,6 @@ Overall we are going to set up the environments, build scalable pipelines in dbt
 
 6. Finally, create a new Worksheet by selecting **+ Worksheet** in the upper right corner.
 
-
-33 1. Log in to your trial Snowflake account. You can [sign up for a Snowflake Trial Account using this form](https://signup.snowflake.com/) if you don’t have one.
-2. Ensure that your account is set up using **AWS** in the **US East (N. Virginia)**. We will be copying the data from a public AWS S3 bucket hosted by dbt Labs in the us-east-1 region. By ensuring our Snowflake environment setup matches our bucket region, we avoid any multi-region data copy and retrieval latency issues.
-
-<Lightbox src="/img/guides/dbt-ecosystem/dbt-python-snowpark/2-snowflake-configuration/1-snowflake-trial-AWS-setup.png" title="Snowflake trial"/>
-
-3. After creating your account and verifying it from your sign-up email, Snowflake will direct you back to the UI called Snowsight.
-
-4. When Snowsight first opens, your window should look like the following, with you logged in as the ACCOUNTADMIN with demo worksheets open:
-
-<Lightbox src="/img/guides/dbt-ecosystem/dbt-python-snowpark/2-snowflake-configuration/2-new-snowflake-account.png" title="Snowflake trial demo worksheets"/>
-
-
-5. Navigate to **Admin > Billing & Terms**. Click **Enable > Acknowledge & Continue** to enable Anaconda Python Packages to run in Snowflake.
-
-<Lightbox src="/img/guides/dbt-ecosystem/dbt-python-snowpark/2-snowflake-configuration/3-accept-anaconda-terms.jpeg" title="Anaconda terms"/>
-
-<Lightbox src="/img/guides/dbt-ecosystem/dbt-python-snowpark/2-snowflake-configuration/4-enable-anaconda.jpeg" title="Enable Anaconda"/>
-
-6. Finally, create a new Worksheet by selecting **+ Worksheet** in the upper right corner.
-
 ## Connect to data source
 
 We need to obtain our data source by copying our Formula 1 data into Snowflake tables from a public S3 bucket that dbt Labs hosts.