Fix Markdown syntax issues

Author: github-actions[bot]

Security/LakehousePermissions.md

@@ -17,7 +17,6 @@ Last updated: 2025-05-08
 
 </details>
 
-
 <details>
 <summary><b>Table of Contents</b> (Click to expand)</summary>
 
@@ -27,8 +26,7 @@ Last updated: 2025-05-08
 
 </details>
 
-
-> `Lakehouse `is a `specific type of data architecture within Microsoft Fabric `that combines the features of data lakes and data warehouses. `It allows for the storage and processing of both structured and unstructured data`, providing the flexibility of a data lake with the performance and management features of a data warehouse. <br/> <br/>
+> `Lakehouse`is a `specific type of data architecture within Microsoft Fabric`that combines the features of data lakes and data warehouses. `It allows for the storage and processing of both structured and unstructured data`, providing the flexibility of a data lake with the performance and management features of a data warehouse. <br/> <br/>
 
 <div align="center">
   <img width="700" alt="image" src="https://github.com/user-attachments/assets/fd102034-660b-4f93-8aa1-ccda4e4d1893" style="border: 2px solid #4CAF50; border-radius: 5px; padding: 5px;"/>
@@ -39,16 +37,16 @@ Last updated: 2025-05-08
 | Read all SQL endpoint data                    | This permission allows access to SQL-based data endpoints in Microsoft Fabric. | - `Power BI`: Connecting to semantic models or datasets using DirectQuery or Import mode.<br/>- `Data Factory Pipelines`: Reading from or writing to SQL endpoints as part of ETL/ELT processes.<br/>- `OneLake / Gen2 Data Lake`: SQL endpoints can expose structured views over data stored in the lake.<br/>- `Data Activator / Agents`: Agents may use SQL endpoints to monitor or trigger actions based on data changes.<br/>- `Excel / Office Integration`: Connecting Excel to SQL endpoints for live data refresh and pivot analysis.<br/>- `Third-party BI Tools`: Using Tableau, Qlik, etc., to connect to SQL endpoints.<br/>- `Custom Applications`: Internal apps querying SQL endpoints for real-time dashboards. |
 | Read all Apache Spark and subscribe to events | This permission relates to Apache Spark workloads, which are more code- and compute-intensive. | - `Notebooks`: Running PySpark, Scala, or SparkSQL code for data exploration and transformation.<br/>- `Machine Learning`: Training models using Spark MLlib or integrating with Azure ML.<br/>- `Data Science Workloads`: Performing large-scale data analysis or feature engineering.<br/>- `Copilot & Agents`: If they need to interact with Spark jobs or listen to Spark events (e.g., job completion).<br/>- `Streaming Analytics`: Real-time data processing using Spark Structured Streaming.<br/>- `Data Engineering Pipelines`: Complex transformations and joins across large datasets.<br/>- `Event-Driven Automation`: Triggering workflows or alerts based on Spark job events.<br/>- `Integration with Delta Lake`: Managing transactional data lakes with ACID guarantees. |
 
-https://github.com/user-attachments/assets/2974bdee-4b02-4750-ba6c-b745215e0f82
+<https://github.com/user-attachments/assets/2974bdee-4b02-4750-ba6c-b745215e0f82>
 
 ## Read all SQL endpoint data
 
 > Permissions:
+>
 > - Read <br/>
 > - Read All <br/>
 > - Subscribe OneLake Events 
 
-
 > Lakehouse Manage Permissions: 
 
 <img width="550" alt="image" src="https://github.com/user-attachments/assets/a2559d8a-35b9-456b-a14c-81c9bb5d2b9c" /> | 
@@ -63,10 +61,10 @@ https://github.com/user-attachments/assets/2974bdee-4b02-4750-ba6c-b745215e0f82
 
 <img width="800" alt="image" src="https://github.com/user-attachments/assets/2035ae73-f247-493d-905c-d9a3d76ec5f2" />
 
-
 ## Lakehouse Semantic Model
 
 > Permissions:
+>
 > - Reshare <br/>
 > - Build <br/>
 > - Write 
@@ -78,6 +76,7 @@ https://github.com/user-attachments/assets/2974bdee-4b02-4750-ba6c-b745215e0f82
 ## SQL Analytics Endpoint 
 
 > Permissions:
+>
 > - Read <br/>
 > - Read Data <br/>
 > - Read All 
@@ -90,4 +89,3 @@ https://github.com/user-attachments/assets/2974bdee-4b02-4750-ba6c-b745215e0f82
   <h3 style="color: #4CAF50;">Total Visitors</h3>
   <img src="https://profile-counter.glitch.me/brown9804/count.svg" alt="Visitor Count" style="border: 2px solid #4CAF50; border-radius: 5px; padding: 5px;"/>
 </div>
-