[DOCS] Revise OSS Installation and Setup Guidance for SQL Data Sources

docs/docusaurus/docs/core/installation_and_setup/additional_dependencies/google_cloud_storage.md

@@ -9,7 +9,7 @@ To validate Google Cloud Platform (GCP) data with GX Core, you create your GX Py
 ## Prerequisites
 
 - <PrereqPythonInstalled/>
-- pip can be used to install Python modules.
+- pip. See [Installation and downloads](https://pypi.org/project/pip/).
 - A [GCP service account](https://cloud.google.com/iam/docs/service-account-overview) with permissions to access GCP resources and storage Objects.
 - The `GOOGLE_APPLICATION_CREDENTIALS` environment variable is set. See [Set up Application Default Credentials](https://cloud.google.com/docs/authentication/provide-credentials-adc).  
 - Google Cloud API authentication is set up. See [Set up authentication](https://cloud.google.com/storage/docs/reference/libraries#authentication).

docs/docusaurus/docs/core/installation_and_setup/additional_dependencies/sql_data_sources.md

@@ -1,13 +1,69 @@
 ---
 title: Install and set up SQL Data Source support
 ---
-import InProgress from '../../_core_components/_in_progress.md';
 
-<InProgress />
+import PrereqPythonInstalled from '../../_core_components/prerequisites/_python_installation.md';
 
+To validate data stored on SQL databases with GX Core, you create your GX Python environment, install GX Core locally, and then configure the necessary dependencies.
 
 ## Prerequisites
 
+- <PrereqPythonInstalled/>
+- pip. See [Installation and downloads](https://pypi.org/project/pip/).
+- The necessary environment variables are set to allow access to the SQL database. See [Manage credentials](../manage_credentials.md).
+
 ## Installation
 
-## Next steps
+1. Run the following code to confirm your Python version:
+
+    ```bash title="Terminal input"
+    python --version
+    ```
+    If your existing Python version is not 3.8 to 3.11, see [Active Python Releases](https://www.python.org/downloads/).
+
+2. Run the following code to create a virtual environment and a directory named `my_venv`:
+
+    ```bash title="Terminal input"
+    python -m venv my_venv
+    ```
+    Optional. Replace `my_venv` with another directory name. 
+
+    If you prefer, you can use virtualenv, pyenv, and similar tools to install GX in virtual environments.
+
+3. Run the following code to activate the virtual environment: 
+
+    ```bash title="Terminal input"
+    source my_venv/bin/activate
+    ```
+
+4. Run the following code to install optional dependencies for SQLAlchemy:
+
+    ```bash title="Terminal input"
+    python -m pip install 'great_expectations[sqlalchemy]'
+    ```
+    To install optional dependencies for a different SQL database, see [SQL database dependency commands](#sql-database-dependency-commands).
+
+5. Run the following code to confirm GX was installed successfully:
+
+    ```bash title="Terminal input"
+    great_expectations --version
+    ```
+    The output should be `great_expectations, version <version_number>`.
+
+## SQL database dependency commands
+
+The following table lists the installation commands used to install GX Core dependencies for specific SQL databases. These dependencies are required for the successful operation of GX Core.
+
+| SQL Database | Command |
+| :-- | :-- | 
+| AWS Athena | `pip install 'great_expectations[athena]'` |
+| BigQuery | `pip install 'great_expectations[bigquery]'` |
+| MSSQL | `pip install 'great_expectations[mssql]'` |
+| PostgreSQL | `pip install 'great_expectations[postgresql]'` |
+| Redshift | `pip install 'great_expectations[redshift]'` |
+| Snowflake | `pip install 'great_expectations[snowflake]'` |
+| Trino | `pip install 'great_expectations[trino]'` |
+
+## Next steps
+
+- [Manage Data Contexts](/core/installation_and_setup/manage_data_contexts.md)

docs/docusaurus/sidebars.js

@@ -48,7 +48,7 @@ module.exports = {
             {
               type: 'doc',
               id: 'core/installation_and_setup/additional_dependencies/sql_data_sources',
-              label: '🚧 SQL Data Sources'
+              label: 'SQL Data Sources'
             },
           ]
         },