docs: add profiling from databases

ydataai · Jul 31, 2023 · b718fb1 · b718fb1
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diff --git a/README.md b/README.md
@@ -98,6 +98,7 @@ YData-profiling can be used to deliver a variety of different use-case. The docu
 | [Handling sensitive data](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/sensitive_data.html )                       | Generating reports which are mindful about sensitive data in the input dataset              |
 | [Dataset metadata and data dictionaries](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/metadata.html)               | Complementing the report with dataset details and column-specific data dictionaries         |
 | [Customizing the report's appearance](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/custom_report_appearance.html ) | Changing the appearance of the report's page and of the contained visualizations            |
+| [Profiling Databases](https://ydata-profiling.ydata.ai/docs/master/pages/use_cases/profiling_databases.html) | For a seamless profiling experience in your organization's databases, check [YData Fabric Data Catalog](https://ydata.ai/products/data_catalog), which allows to consume data from different types of storages such as RDBMs (Azure SQL, PostGreSQL, Oracle, etc.) and object storages (Google Cloud Storage, AWS S3, Snowflake, etc.), among others.  
 
 ### Using inside Jupyter Notebooks
 

diff --git a/docsrc/source/index.rst b/docsrc/source/index.rst
@@ -17,6 +17,7 @@
    :hidden:
 
    pages/use_cases/big_data
+   pages/use_cases/profiling_databases
    pages/use_cases/sensitive_data
    pages/use_cases/comparing_datasets
    pages/use_cases/metadata

diff --git a/docsrc/source/pages/use_cases/profiling_databases.rst b/docsrc/source/pages/use_cases/profiling_databases.rst
@@ -0,0 +1,14 @@
+==================
+Profiling Databases
+==================
+
+.. NOTE::
+   **Want to run data profiling directly from your databases?**
+   For a seamless profiling experience in your organization's databases, 
+   check `YData Fabric Data Catalog <https://ydata.ai/products/data_catalog>`_, which allows you to consume data 
+   from different types of storages such as RDBMs (Azure SQL, PostGreSQL, Oracle, etc.), 
+   object storages (Google Cloud Storage, AWS S3, Snowflake, etc.), among others. 
+   From single profiling to a trustable and scalable Data Catalog for data teams.
+
+To learn more about YData Fabric Catalog, check this `blogpost <https://ydata.ai/resources/unlocking-the-power-of-a-data-catalog-for-your-business>`.
+