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Data Warehouse and Analytics Project

Welcome to my Data Warehouse and Analytics Project!

This project demonstrates a comprehensive data engineering skills, from building a data warehouse to generating value from data. Designed as a portfolio project that highlights industry be practices in data engineering and analytics.


Project Requirements

Buidling the Data Warehouse (Data Engineering)

Objective

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

Specifications

  • Data Soruces: 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.
  • Documentaion: Provide clear documentation of the data model to support both business stakeholders and analytics teams.

BI: Analyics & Reporting (Data Analytics)

Objective

Develop SQL-based analytics to deliver insights into:

  • *Customer Begavior
  • Product Performance
  • Sales Trends

These insights empower stakeholders with key business metrics, enabling strategic decision-making

License

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

About Me

My name is Nawar Alhussain. I am an computer engineer and IT professional. I aspire to build amazing projects and help people.

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Building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.

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