Merge branch 'current' into update-singular-test-documentation-doc

website/docs/docs/build/packages.md

@@ -20,9 +20,10 @@ In dbt, libraries like these are called _packages_. dbt's packages are so powerf
   * Models to understand [Redshift](https://hub.getdbt.com/dbt-labs/redshift/latest/) privileges.
   * Macros to work with data loaded by [Stitch](https://hub.getdbt.com/dbt-labs/stitch_utils/latest/).
 
-dbt _packages_ are in fact standalone dbt projects, with models and macros that tackle a specific problem area. As a dbt user, by adding a package to your project, the package's models and macros will become part of your own project. This means:
+dbt _packages_ are in fact standalone dbt projects, with models, macros, and other resources that tackle a specific problem area. As a dbt user, by adding a package to your project, all of the package's resources will become part of your own project. This means:
 * Models in the package will be materialized when you `dbt run`.
 * You can use `ref` in your own models to refer to models from the package.
+* You can use `source` to refer to sources in the package.
 * You can use macros in the package in your own project.
 * It's important to note that defining and installing dbt packages is different from [defining and installing Python packages](/docs/build/python-models#using-pypi-packages)
 

website/snippets/core-versions-table.md

@@ -2,15 +2,19 @@
 
 |                      dbt Core                                 | Initial release |      Support level and end date      |
 |:-------------------------------------------------------------:|:---------------:|:-------------------------------------:|
-| [**v1.8**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.8) | May 9 2024    | <b>Active &mdash; May 8, 2025</b>                    |
-| [**v1.7**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.7) | Nov 2, 2023   | Critical &mdash; Nov 1, 2024 | 
-| [**v1.6**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.6) | Jul 31, 2023  | End of Life* ⚠️ |  
-| [**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%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* ⚠️ | 
+| [**v1.8**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.8) | May 9 2024    | <b>Active Support &mdash; May 8, 2025</b>                    |
+| [**v1.7**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.7) | Nov 2, 2023   | <div align="left">**dbt Core and dbt Cloud Developer & Team customers:** Critical Support until Nov 1, 2024 <br /> **dbt Cloud Enterprise customers:** Critical Support until further notice <sup>1</sup></div> | 
+| [**v1.6**](/docs/dbt-versions/core-upgrade/upgrading-to-v1.6) | Jul 31, 2023  | End of Life ⚠️ |  
+| [**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%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._
+All functionality in dbt Core since the v1.7 release is available in dbt Cloud, early and continuously, by selecting ["Versionless"](https://docs.getdbt.com/docs/dbt-versions/versionless-cloud).
+
+<sup>1</sup> Starting in November 2024, "Versionless" will be required for the Developer and Teams plans on dbt Cloud. After that point, accounts on older versions will be migrated to "Versionless."
+
+For customers of dbt Cloud Enterprise, dbt v1.7 will continue to be available as an option while dbt Labs rolls out a mechanism for "extended" upgrades. In the meantime, dbt Labs strongly recommends migrating any environments that are still running on older unsupported versions to "Versionless" dbt or dbt v1.7.