Update README.md

Author: DataWithBaraa

README.md

@@ -14,7 +14,7 @@ This project involves:
 3. **Data Modeling**: Developing fact and dimension tables optimized for analytical queries.
 4. **Analytics & Reporting**: Creating SQL-based reports and dashboards for actionable insights.
 
-This repository is an excellent resource for professionals and students looking to showcase expertise in:
+🎯 This repository is an excellent resource for professionals and students looking to showcase expertise in:
 - SQL Development
 - Data Architect
 - Data Engineering  
@@ -24,6 +24,20 @@ This repository is an excellent resource for professionals and students looking
 
 ---
 
+## 🛠️ Important Links & Tools:
+
+Everything is for Free!
+- **[Datasets](docs/requirements.md):** Access to the project dataset (csv files).
+- **[SQL Server Express](https://www.microsoft.com/en-us/sql-server/sql-server-downloads):** Lightweight server for hosting your SQL database.
+- **[SQL Server Express](https://www.microsoft.com/en-us/sql-server/sql-server-downloads):** Lightweight server for hosting your SQL database.
+- **[SQL Server Management Studio (SSMS)](https://learn.microsoft.com/en-us/sql/ssms/download-sql-server-management-studio-ssms?view=sql-server-ver16):** GUI for managing and interacting with databases.
+- **[Git Repository](https://github.com/):** Set up a GitHub account and repository to manage, version, and collaborate on your code efficiently.
+- **[DrawIO](https://www.drawio.com/):** Design data architecture, models, flows, and diagrams.
+- **[Notion](https://www.notion.com/):** All-in-one tool for project management and organization.
+- **[Notion Project Steps](https://thankful-pangolin-2ca.notion.site/SQL-Data-Warehouse-Project-16ed041640ef80489667cfe2f380b269?pvs=4):** Access to All Project Phases and Tasks.
+
+---
+
 ## 🚀 Project Requirements
 
 ### Building the Data Warehouse (Data Engineering)
@@ -93,21 +107,6 @@ data-warehouse-project/
 ```
 ---
 
-## 🎯 Goals
-
-- To showcase proficiency in data engineering and analytics.  
-- To provide a practical example of building and using a data warehouse for business intelligence.  
-- To demonstrate SQL expertise for ETL, data modeling, and analytical reporting
-
----
-
-## 🛠️ Tools & Technologies
-
-- **SQL Server**: Data warehouse and analytics implementation.  
-- **SQL**: ETL pipelines and analytics development.  
-- **DrawIO**: For Drawing Diagrams and Data Models.
-- **Notion**: For Project Management.
----
 
 ## 🛡️ License