Welcome to the Northwind Data Modeling Project repository. This project aims to create a robust data warehouse model for the Northwind dataset, a sample database often used for learning and testing data warehousing concepts. The project is mentored by Eng. Ahmed Emad as part of the Data Modeling Bootcamp.

The Northwind Data Modeling Project focuses on designing a data warehouse (DW) that captures the essence of a fictional company's operations, including suppliers, customers, employees, products, and sales orders. The goal is to provide an organized and efficient platform for performing complex analytics, reporting, and data-driven decision-making.

This repository is organized as follows:

• DW_creation.sql: SQL script for creating the data warehouse schema, fact table, and dimension tables.
• Date_table.sql: SQL script for creating the date dimension table, crucial for time-based analysis.
• Type.txt: Documentation explaining the types of dimensions used in the project (Type 0, 1, 2, 3).
• Profiling.docx: Profiling details for each dimension table, including cardinality, dimension type, and any unique characteristics.
• dw-screenshot.png: A screenshot or visualization of the Northwind Data Warehouse model.
• README.md: You're reading it! An introduction to the project and its components.

For an in-depth understanding of the dimension types used in the Northwind Data Warehouse, please refer to Type_of_Dimensions.md.

Detailed profiling information for each dimension can be found in Profiling_for_Dimensions.md.

This project is mentored by Eng. Ahmed Emad, a data modeling expert with vast experience in designing efficient data warehouses. The mentorship is part of the Data Modeling Bootcamp, where you'll gain valuable insights into data modeling best practices.

I would like to thank Eng. Ahmed Emad for his guidance and mentorship throughout the project.

This project is licensed under the MIT License - see the LICENSE file for details.