This project demonstrates the creation of a Data Warehouse using SQL Server 2022. It includes the design of dimension and fact tables, ETL processes for data integration, Python scripts for synthetic data generation, and SQL queries for KPI analysis to support business decision-making.
☆12Dec 25, 2024Updated last year
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