Add documentation for MS fabric package install + config (#2180)

docs/configuration.md

@@ -15,7 +15,7 @@ Alternatively, you can provide data source connection configurations in the cont
 1. Soda Core connects with Spark DataFrames in a unique way, using programmtic scans.
     * If you are using Spark DataFrames, follow the configuration details in [Connect to Spark DataFrames](https://docs.soda.io/soda/connect-spark.html#connect-to-spark-dataframes).
     * If you are *not* using Spark DataFrames, continue to step 2.
-2. Create a `configuration.yml` file. This file stores connection details for your data sources. Use the data source-specific connection configurations listed below to copy+paste the connection syntax into your file, then adjust the values to correspond with your data source's details. You can use [system variables](#provide-credentials-as-system-variables) to pass sensitive values, if you wish. Access connection details in [Connect a data source](https://docs.soda.io/soda/connect-athena.html) section of Soda documentation.
+2. Create a `configuration.yml` file. This file stores connection details for your data sources. Use the data source-specific connection configurations listed below to copy+paste the connection syntax into your file, then adjust the values to correspond with your data source's details. You can use [system variables](#provide-credentials-as-system-variables) to pass sensitive values, if you wish. Access connection details in [Connect a data source](https://docs.soda.io/soda/connect-athena.html) section of Soda documentation; see below for MS Fabric connection config as it is only supported in Soda Core.
 3. Save the `configuration.yml` file, then create another new YAML file named `checks.yml`. 
 4. A Soda Check is a test that Soda Core performs when it scans a dataset in your data source. The checks YAML file stores the Soda Checks you write using [SodaCL](https://docs.soda.io/soda-cl/soda-cl-overview.html). Copy+paste the following basic check syntax in your file, then adjust the value for `dataset_name` to correspond with the name of one of the datasets in your data source.
     ```yaml
@@ -25,6 +25,21 @@ Alternatively, you can provide data source connection configurations in the cont
 5. Save the changes to the `checks.yml` file.
 6. Next: [run a scan](/docs/scan-core.md) of the data in your data source.
 
+#### MS Fabric connection configuration
+
+To your `configuration.yml` file, add the following.
+```yaml
+data_source my_data_source_name: 
+  type: fabric
+  host: xxx
+  database: xxx
+  schema: xxx
+  driver: ODBC Driver 18 for SQL Server
+  client_id: xxx
+  client_secret: xxx
+  encrypt: True
+  authentication: xxx
+```
 
 ## Provide credentials as system variables
 

docs/installation.md

@@ -18,8 +18,8 @@ Use Soda Core to scan a variety of data sources.<br />
 
 <table>
   <tr>
-    <td>Amazon Athena<br /> Amazon Redshift<br />  Apache Spark DataFrames<sup>1</sup><br /> Apache Spark for Databricks SQL<br /> Azure Synapse (Experimental)<br />ClickHouse (Experimental)<br />   Dask and Pandas (Experimental)<sup>1</sup><br /> Denodo (Experimental)<br />Dremio <br />DuckDB (Experimental)<br /> GCP Big Query</td>
-    <td>IBM DB2<br /> Local file using Dask<sup>1</sup><br />MS SQL Server<br /> MotherDuck (Experimental)<br /> MySQL<br > OracleDB<br /> PostgreSQL<br /> Snowflake<br /> Teradata (Experimental) <br />Trino<br /> Vertica (Experimental)</td>
+    <td>Amazon Athena<br /> Amazon Redshift<br />  Apache Spark DataFrames<sup>1</sup><br /> Apache Spark for Databricks SQL<br /> Azure Synapse<br />ClickHouse<br />   Dask and Pandas<sup>1</sup><br /> Denodo<br />Dremio <br />DuckDB<br /> GCP Big Query<br /> IBM DB2</td>
+    <td>Local file using Dask<sup>1</sup><br />MotherDuck<br /> MS Fabric<br />MS SQL Server<br />  MySQL<br > OracleDB<br /> PostgreSQL<br /> Snowflake<br /> Teradata<br />Trino<br /> Vertica</td>
   </tr>
 </table>
 <sup>1</sup> For use with programmatic Soda scans, only.
@@ -64,6 +64,7 @@ If you have not already installed Python, consider using <a href="https://github
 | IBM DB2 | `soda-core-db2` |
 | Local file | Use Dask. |
 | MotherDuck | `soda-core-duckdb` |
+| MS Fabric | `soda-core-fabric` |
 | MS SQL Server | `soda-core-sqlserver` |
 | MySQL | `soda-core-mysql` |
 | OracleDB | `soda-core-oracle` |
@@ -99,16 +100,19 @@ deactivate
 | ----------- | --------------- | 
 | Amazon Athena | `soda-core-athena` |
 | Amazon Redshift | `soda-core-redshift` | 
-| Apache Spark DataFrame <br /> (For use with [programmatic Soda scans]({% link soda-core/programmatic.md %}), only.) | `soda-core-spark-df` |
+| Apache Spark DataFrames <br /> (For use with [programmatic Soda scans]({% link soda-core/programmatic.md %}), only.) | `soda-core-spark-df` |
 | Azure Synapse (Experimental) | `soda-core-sqlserver` |
 | ClickHouse (Experimental) | `soda-core-mysql` |
 | Dask and Pandas (Experimental)  | `soda-core-pandas-dask` |
 | Databricks  | `soda-core-spark[databricks]` |
 | Denodo (Experimental) | `soda-core-denodo` |
 | Dremio | `soda-core-dremio` | 
-| DuckDB (Experimental) | `soda-core-duckdb` |
+| DuckDB (Experimental)  | `soda-core-duckdb` |
 | GCP Big Query | `soda-core-bigquery` | 
 | IBM DB2 | `soda-core-db2` |
+| Local file | Use Dask. |
+| MotherDuck | `soda-core-duckdb` |
+| MS Fabric | `soda-core-fabric` |
 | MS SQL Server | `soda-core-sqlserver` |
 | MySQL | `soda-core-mysql` |
 | OracleDB | `soda-core-oracle` |