Updating links

website/blog/2022-08-31-august-product-update.md

@@ -22,7 +22,7 @@ You’ll hear more in [Tristan’s keynote](https://coalesce.getdbt.com/agenda/k
 
 ## **What's new**
 
-- **dbt Core v1.3 beta:** Do you use Python for analytics? The first beta prerelease of dbt Core v1.3—including support for dbt models written in Python—is [ready to explore](https://docs.getdbt.com/docs/dbt-versions/core-upgrade/older-versions/upgrading-to-v1.3)! Check it out, and read more about dbt supported Python models [in our docs](/docs/build/python-models).
+- **dbt Core v1.3 beta:** Do you use Python for analytics? The first beta prerelease of dbt Core v1.3—including support for dbt models written in Python—is [ready to explore](https://docs.getdbt.com/docs/dbt-versions/core-upgrade/older%20versions/upgrading-to-v1.3)! Check it out, and read more about dbt supported Python models [in our docs](/docs/build/python-models).
 - **Technology Partner Program:** We just launched our new [Technology Partner Program](https://www.getdbt.com/blog/dbt-labs-technology-partner-program/) with 40+ friends in the Modern Data Stack to provide consistent support for seamless integrations joint-users can trust. Check our new [dbt Cloud integrations page](http://www.getdbt.com/product/integrations) for what’s available today!
 - **Single-tenant users:** dbt Cloud v1.1.60 is now available on dbt Cloud Enterprise.
 

website/docs/docs/dbt-versions/upgrade-dbt-version-in-cloud.md

@@ -120,7 +120,7 @@ clean-targets:
 - Do you have custom scripts that parse dbt <Term id="json" /> artifacts?
 - (BigQuery only) Do you use dbt's legacy capabilities around ingestion-time-partitioned tables?
 
-If you believe your project might be affected, read more details in the migration guide [here](/docs/dbt-versions/core-upgrade/older-versions/upgrading-to-v1.0).
+If you believe your project might be affected, read more details in the migration guide [here](/docs/dbt-versions/core-upgrade/older%20versions/upgrading-to-v1.0).
 
 </details>
 

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

@@ -395,7 +395,7 @@ In this step, we’ll need to create a development branch and set up project lev
     - `materialized` — Tells dbt how to materialize models when compiling the code before it pushes it down to Snowflake. All models in the `marts` folder will be built as tables.
     - `tags` — Applies tags at a directory level to all models. All models in the `aggregates` folder will be tagged as `bi` (abbreviation for business intelligence).
     - `docs` — Specifies the `node_color` either by the plain color name or a hex value.
-5. [Materializations](/docs/build/materializations) are strategies for persisting dbt models in a warehouse, with `tables` and `views` being the most commonly utilized types. By default, all dbt models are materialized as views and other materialization types can be configured in the `dbt_project.yml` file or in a model itself. It’s very important to note *Python models can only be materialized as tables or incremental models.* Since all our Python models exist under `marts`, the following portion of our `dbt_project.yml` ensures no errors will occur when we run our Python models. Starting with [dbt version 1.4](/docs/dbt-versions/core-upgrade/older-versions/upgrading-to-v1.4#updates-to-python-models), Python files will automatically get materialized as tables even if not explicitly specified.
+5. [Materializations](/docs/build/materializations) are strategies for persisting dbt models in a warehouse, with `tables` and `views` being the most commonly utilized types. By default, all dbt models are materialized as views and other materialization types can be configured in the `dbt_project.yml` file or in a model itself. It’s very important to note *Python models can only be materialized as tables or incremental models.* Since all our Python models exist under `marts`, the following portion of our `dbt_project.yml` ensures no errors will occur when we run our Python models. Starting with [dbt version 1.4](/docs/dbt-versions/core-upgrade/older%20versions/upgrading-to-v1.4#updates-to-python-models), Python files will automatically get materialized as tables even if not explicitly specified.
 
     ```yaml
     marts:     

website/docs/guides/migrate-from-spark-to-databricks.md

@@ -20,7 +20,7 @@ You can migrate your projects from using the `dbt-spark` adapter to using the [d
 
 ### Prerequisites
 
-- Your project must be compatible with dbt 1.0 or greater. Refer to [Upgrading to v1.0](/docs/dbt-versions/core-upgrade/older-versions/upgrading-to-v1.0) for details. For the latest version of dbt, refer to [Upgrading to v1.7](/docs/dbt-versions/core-upgrade/upgrading-to-v1.7).
+- Your project must be compatible with dbt 1.0 or greater. Refer to [Upgrading to v1.0](/docs/dbt-versions/core-upgrade/older%20versions/upgrading-to-v1.0) for details. For the latest version of dbt, refer to [Upgrading to v1.7](/docs/dbt-versions/core-upgrade/upgrading-to-v1.7).
 - For dbt Cloud, you need administrative (admin) privileges to migrate dbt projects.
 
 ### Simpler authentication

website/snippets/core-versions-table.md

@@ -6,11 +6,11 @@
 | [**v1.7**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.7) | Nov 2, 2023   | Critical — Nov 1, 2024 | 
 | [**v1.6**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.6) | Jul 31, 2023  | Critical — Jul 30, 2024 |  
 | [**v1.5**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.5) | Apr 27, 2023  | End of Life* ⚠️ |
-| [**v1.4**](/docs/dbt-versions/core-upgrade/older-versions/upgrading-to-v1.4) | Jan 25, 2023  | End of Life* ⚠️ | 
-| [**v1.3**](/docs/dbt-versions/core-upgrade/older-versions/upgrading-to-v1.3) | Oct 12, 2022  | End of Life* ⚠️ |
-| [**v1.2**](/docs/dbt-versions/core-upgrade/older-versions/upgrading-to-v1.2) | Jul 26, 2022  | End of Life* ⚠️ | 
-| [**v1.1**](/docs/dbt-versions/core-upgrade/older-versions/upgrading-to-v1.1) | Apr 28, 2022  | End of Life* ⚠️ |
-| [**v1.0**](/docs/dbt-versions/core-upgrade/older-versions/upgrading-to-v1.0) | Dec 3, 2021   | End of Life* ⚠️ | 
+| [**v1.4**](/docs/dbt-versions/core-upgrade/older%20versions/upgrading-to-v1.4) | Jan 25, 2023  | End of Life* ⚠️ | 
+| [**v1.3**](/docs/dbt-versions/core-upgrade/older%20versions/upgrading-to-v1.3) | Oct 12, 2022  | End of Life* ⚠️ |
+| [**v1.2**](/docs/dbt-versions/core-upgrade/older%20versions/upgrading-to-v1.2) | Jul 26, 2022  | End of Life* ⚠️ | 
+| [**v1.1**](/docs/dbt-versions/core-upgrade/older%20versions/upgrading-to-v1.1) | Apr 28, 2022  | End of Life* ⚠️ |
+| [**v1.0**](/docs/dbt-versions/core-upgrade/older%20versions/upgrading-to-v1.0) | Dec 3, 2021   | End of Life* ⚠️ | 
 |  **v0.X** ⛔️                                               | (Various dates) | Deprecated ⛔️  | Deprecated ⛔️            | 
 _*All versions of dbt Core since v1.0 are available in dbt Cloud until further notice. Versions that are EOL do not receive any fixes. For the best support, we recommend upgrading to a version released within the past 12 months._