docs: update Data catalog information

docsrc/source/index.rst

@@ -22,6 +22,13 @@
    pages/use_cases/metadata
    pages/use_cases/custom_report_appearance
 
+.. toctree::
+    :maxdepth: 3
+   :caption: Data Catalog with Profiling (Self-hosted)
+   :hidden:
+
+    pages/data_catalog/collaborative_data_profiling
+
 
 .. toctree::
    :maxdepth: 3

docsrc/source/pages/data_catalog/collaborative_data_profiling.rst

@@ -0,0 +1,49 @@
+========
+Data quality Profiling with a Collaborative experience
+========
+
+`YData Fabric <https://ydata.ai/products/fabric>`_ is a Data-Centric AI development platform.
+YData Fabric provides all capabilities of ydata-profiling in a hosted environment combined with a guided UI experience.
+
+`Fabric's Data Catalog <https://ydata.ai/products/data_catalog>`_ provides a comprehensive and powerful tool designed to enable data professionals,
+including data scientists and data engineers, to manage and understand data within an organization.
+The Data Catalog act as a searchable repository, that captures the schema and metadata, while providing
+a unified view of all datasets.
+
+Profiling in a Data Catalog
+---------------------------
+
+1. Built-in connectors
+======================
+Fabric's Data Catalog experience, provides pre-configured interfaces for a variety of data data sources.
+The built-in connectors simplify and expedite the data integration, while reducing developing time and
+enhancing data availability ensuring reliable and consistent data exchange.
+
+2. Metadata management
+======================
+The Data Catalog captures and stores automatically the datasets metadata, providing essential information about
+your data types, source, last time of update, relationships among other characteristics,
+such as the presence of potential Personally identifiable Information (PII).
+It supports automated metadata ingestion from a variety of data sources, which allows to keep the catalog always up-to-date.
+
+3. Data profiling and relationships
+===================
+An interactive experience that allows to drill-down in a comprehensive data profiling and relationship analysis, providing deep insights into
+data structure, distributions and interactions for improved data preparation.
+
+4. Data quality indexes
+===================
+Access and navigate indicators and data quality statistics, such as completeness, uniqueness and consistency.
+This feature ensures that your teams are working with trusted, complete and reliable data while developing data initiatives.
+
+5. Collaborative
+===================
+The Data Catalog enables a collaborative experience through dataset descriptions and tags for ease of search.
+This fosters collaboration among team members, sharing domain knowledge and experience, and leading to better, more informed decisions.
+
+6. Security and Compliance
+===================
+Through built-in connectors and flexible infrastructure enforce data access control per users and per project. YData Fabric Data Catalog helps in maintinaing
+regulatory compliance by identifying any sensitive data.
+
+Try today the Catalog experience in with `Fabric Community version <https://ydata.ai/ydata-fabric-free-trial>`_!