diff --git a/website/docs/docs/cloud/cloud-cli-installation.md b/website/docs/docs/cloud/cloud-cli-installation.md index 5e4e0171955..cce1c00db6a 100644 --- a/website/docs/docs/cloud/cloud-cli-installation.md +++ b/website/docs/docs/cloud/cloud-cli-installation.md @@ -111,7 +111,7 @@ Note that if you are using VS Code, you'll need to restart it to pick up modifie - + Refer to the [FAQs](#faqs) if your operating system runs into path conflicts. @@ -154,7 +154,7 @@ To update, run `pip install --upgrade dbt`. To update the dbt Cloud CLI, run `brew upgrade dbt-cloud-cli`. - + To update, follow the same process explained in [Install manually (Windows)](/docs/cloud/cloud-cli-installation?install=windows#install-dbt-cloud-cli) and replace the existing `dbt.exe` executable with the new one. diff --git a/website/docs/docs/cloud/configure-cloud-cli.md b/website/docs/docs/cloud/configure-cloud-cli.md index f4a00c81b62..21ba1cfef42 100644 --- a/website/docs/docs/cloud/configure-cloud-cli.md +++ b/website/docs/docs/cloud/configure-cloud-cli.md @@ -52,8 +52,8 @@ dbt-cloud: ## Use the dbt Cloud CLI -The dbt Cloud CLI shares the same set of commands as dbt Core. When you invoke a dbt command, that command is sent to dbt Cloud for processing. +The dbt Cloud CLI shares the same set of commands as dbt Core. dbt Cloud processes the dbt commands you invoke. -The dbt Cloud CLI supports [project dependencies](/docs/collaborate/govern/project-dependencies), which is an exciting way to depend on another project using the metadata service in dbt Cloud. It instantly resolves references (or `ref`) to public models defined in other projects. You don't need to execute or analyze these upstream models yourself. Instead, you treat them as an API that returns a dataset. +The dbt Cloud CLI supports [project dependencies](/docs/collaborate/govern/project-dependencies), which enables you to depend on another project using the metadata service in dbt Cloud. Project dependencies instantly resolves references (or `ref`) to public models defined in other projects. You don't need to execute or analyze these upstream models yourself. Instead, you treat them as an API that returns a dataset. -Share feedback or request features you'd like to see on the [dbt community Slack](https://getdbt.slack.com/archives/C05M77P54FL). +Share feedback or request features you'd like to see in the [dbt community Slack](https://getdbt.slack.com/archives/C05M77P54FL).