SQL-Data-Warehouse-Project

Building a modern data warehouse project using mysql, including ETL processes. data modelling, and analytics

Welcome to the Data Warehouse and Analytics Project repository! This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights industry best practices in data engineering and analytics.

---

This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed highlights industry best practices in data engineering and analytics.

• Project Requirements

Building the Data Warehouse (Data Engineering)

Objective

Develop a modern data warehouse using MYSQL to consolidate sales data, enabling analytical reporting and informed decision-making.

Specifications

• Data Sources: Import data from two source systems (ERP and CRM) provided as CSV files.
• Data Quality: Cleanse and resolve data quality issues prior to analysis.
• Integration: Combine both sources into a single, user-friendly data model designed for analytical queries. Scope: Focus on the latest dataset only; historization of data is not required.
• Documentation: Provide clear documentation of the data model to support both business stakeholders and analytics teams.

BI: Analytics & Reporting (Data Analytics)

Objective

Develop SQL-based analytics to deliver detailed insights into:

• Customer Behavior Product Performance
• Sales Trends These insights empower stakeholders with key oiness metrics, enabling strategic decision-making.

License:

This project is licensed under the [MIT License] (LICENSE). You are free to use, modify, and share this project with proper attribution.

About me:

Hi! I'm Yusra, a masters student who is pursuing her education in data analytics from the University of Venice. My expertise are SQL, Python, Advanced MS Excel and power BI.