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 SQL and analytics.
The data architecture for this project follows Medallion Architecture Bronze, Silver, and Gold layers:
- Bronze Layer: Stores raw data as-is from the source systems. Data is ingested from CSV Files into SQL Server Database.
- Silver Layer: This layer includes data cleansing, standardization, and normalization processes to prepare data for analysis.
- Gold Layer: Houses business-ready data modeled into a star schema required for reporting and analytics.
This project involves:
- Data Architecture: Designing a Modern Data Warehouse Using Medallion Architecture Bronze, Silver, and Gold layers.
- ETL Pipelines: Extracting, transforming, and loading data from source systems into the warehouse.
- Data Modeling: Developing fact and dimension tables optimized for analytical queries.
- Analytics & Reporting: Creating SQL-based reports and dashboards for actionable insights.
- Datasets: Access to the project dataset (csv files).
- SQL Server Express: Lightweight server for hosting your SQL database.
- SQL Server Management Studio (SSMS): GUI for managing and interacting with databases.
- DrawIO: Design data architecture, models, flows, and diagrams.
- Notion Project Steps: Access to All Project Phases and Tasks.
Build a modern SQL Server data warehouse to centralize sales data, enabling analytical reporting and data-driven decision-making.
- Data Sources: Import data from two source systems (ERP and CRM) provided as CSV files.
- Data Quality: Clean and resolve any data quality issues before analysis.
- Integration: Merge both sources into a single, structured data model optimized for analytical queries.
- Scope: Focus only on the latest dataset; historical data storage is not required.
- Documentation: Provide clear documentation of the data model to support both business stakeholders and analytics teams.
Develop SQL-based analytics to generate key business insights on:
- Customer Behavior
- Product Performance
- Sales Trends
🎯 These insights will provide stakeholders with essential metrics to drive strategic decision-making.
This project is licensed under the MIT License.
Hey there I'm Charles-emil Fouché ! Curently working as Sales Man. I’m on a mission to transition from Sales Man to Data Analyst !
Let's stay in touch! Feel free to connect with me:
