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Data Warehouse Project

📌 Overview

This project demonstrates the complete lifecycle of a data warehouse system built from an OLTP database source. Our goal was to design a dimensional model based on KPIs and implement an automated ETL process using SQL Server Integration Services (SSIS).

👥 Team Size

  • 4 students

📊 Key Features

  • Identified business KPIs from a real-world OLTP system (custom schema, not AdventureWorks or Northwind).
  • Designed a star schema with:
    • ✅ 6+ Dimensions
    • ✅ 3 Fact Tables
  • Created the physical model for both OLTP and DW schemas.
  • Used SSIS to perform:
    • ETL from OLTP → Staging → Data Warehouse
    • Data cleaning and transformation
    • Deployment and scheduling of packages

🧪 Analytical Queries

  • Developed T-SQL queries on each fact table to extract actionable insights.
  • Included screenshots of query results for visualization.

⚙️ Tools & Technologies

  • SQL Server (OLTP & DWH)
  • SSIS (ETL)
  • Visual Studio
  • T-SQL

🚀 Outcome

  • Built a scalable data warehouse with scheduled ETL jobs
  • Delivered business insights via analytical queries

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A data warehouse built from a real OLTP source using SSIS for ETL, with staging and support for analytical queries.

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