https://github.com/sasanthns/sql_data_warehouse_project
A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
https://github.com/sasanthns/sql_data_warehouse_project
data data-analysis data-science data-warehouse datacleaning etl etlpipeline sql sqlserver
Last synced: over 1 year ago
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A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.
- Host: GitHub
- URL: https://github.com/sasanthns/sql_data_warehouse_project
- Owner: SASANTHNS
- License: mit
- Created: 2025-01-28T10:34:48.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-28T11:28:47.000Z (over 1 year ago)
- Last Synced: 2025-01-28T11:34:48.133Z (over 1 year ago)
- Topics: data, data-analysis, data-science, data-warehouse, datacleaning, etl, etlpipeline, sql, sqlserver
- Language: TSQL
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Data Warehouse and Analytics Project
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.
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## 📖 Project Overview
This project involves:
1. **Data Architecture**: Designing a Modern Data Warehouse Using Medallion Architecture **Bronze**, **Silver**, and **Gold** layers.
2. **ETL Pipelines**: Extracting, transforming, and loading data from source systems into the warehouse.
3. **Data Modeling**: Developing fact and dimension tables optimized for analytical queries.
4. **Analytics & Reporting**: Creating SQL-based reports and dashboards for actionable insights.
🎯 This repository is an excellent resource for professionals and students looking to showcase expertise in:
- SQL Development
- Data Architect
- Data Engineering
- ETL Pipeline Developer
- Data Modeling
- Data Analytics
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