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

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SQL Data Warehouse and Analytics

Welcome to the SQL Data Warehouse & Analytics Project! 🚀

This repository showcases an end-to-end data warehousing and analytics solution, covering everything from data ingestion to delivering actionable insights.


🏗️ Data Architecture

This project follows the Medallion Architecture framework with Bronze, Silver, and Gold layers: Data Architecture

  1. Bronze Layer: Contains raw ingested data as-is from source system.
  2. Silver Layer: Handles data cleaning, standardization, and transformation for consistency.
  3. Gold Layer: Stores curated, business-ready data modeled in a star schema for analytics and reporting.

📖 Project Overview

The project includes the following key components:

  1. Data Architecture - Designing a modern data warehouse using Medallion layers.
  2. ETL Pipelines - Extracting, transforming, and loading data into the warehouses.
  3. Data Modelling - Building fact and dimension tables optimized for analytical queries.
  4. Analytics & Reporting - Delivering insights through SQL queries and dashboards.

🛠️ Tools

❤️ Closing Note

Made with ☕ for data engineering.

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