fix(linting): code formatting

ydataai · Oct 20, 2023 · b989842 · b989842
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commit b989842
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/docs/getting_started/data_catalog.md b/docs/getting_started/data_catalog.md
@@ -1,6 +1,6 @@
 # Fabric's Data Catalog
 
-Fabric’s Catalog is a project-based data repository that enables data scientists to discover, understand, and access relevant datasets. It provides a **comprehensive inventory of available Connectors and Data Sources**, along with **descriptive metadata** that allows data scientists to swiftly and efficiently locate and evaluate existing data sources, assess their quality, and gain insights into the data's structure and content. 
+Fabric’s Catalog is a project-based data repository that enables data scientists to discover, understand, and access relevant datasets. It provides a **comprehensive inventory of available Connectors and Data Sources**, along with **descriptive metadata** that allows data scientists to swiftly and efficiently locate and evaluate existing data sources, assess their quality, and gain insights into the data's structure and content.
 
 <p align="center"><iframe width="600" height="400" src="https://www.youtube.com/embed/3JyuJlQLM4Q" title="Data profiling in a single click" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe></p>
 
@@ -13,4 +13,4 @@ The Data Catalog facilitates data exploration, promotes data reuse, and accelera
 
 
 !!! question "Looking for a full Data Understanding experience?"
-    Enable a seamless data exploration of your organization's data assets with [Fabric Data Catalog](https://ydata.ai/products/data_catalog), which allows consuming data from RDBMs (Azure SQL, PostGreSQL, Oracle) and object storages (Google Cloud Storage, AWS S3, Snowflake), and interactive profiling of large volumes of data.
+    Enable a seamless data exploration of your organization's data assets with [Fabric Data Catalog](https://ydata.ai/products/data_catalog), which allows consuming data from RDBMs (Azure SQL, PostGreSQL, Oracle) and object storages (Google Cloud Storage, AWS S3, Snowflake), and interactive profiling of large volumes of data.