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.
Develop a modern data warehouse using MYSQL Server to consolidate sales data, enabling analytical reporting and informed decision-making.
- Data Sources: Import data from two source systems (ERP and CRM) provided as CSV files.
- Data Quality: Cleanse and resolve data quality issues prior to analysis.
- Integration: Combine both sources into a single, user-friendly data model designed for analytical queries.
- Scope: Focus on the latest dataset only; historization of data is not required.
- Documentation: Provide clear documentation of the data model to support both business stakeholders and analytics teams.
Develop SQL-based analytics to deliver detailed insights into:
- Customer Behavior
- Product Performance
- Sales Trends
These insights empower stakeholders with key business metrics, enabling strategic decision-making.
This diagram illustrates the flow of data across different layers of the warehouse, including ingestion, transformation, and analytical modeling.
This project is built using a layered architecture approach:
- Bronze Layer → Raw data ingestion from source systems (CRM & ERP)
- Silver Layer → Data cleaning, standardization, and transformation
- Gold Layer → Business-ready data model (Star Schema)
- Stores raw data exactly as received from source systems
- No transformations applied
- Serves as the single source of truth
- Cleans and standardizes data
- Handles nulls, duplicates, and inconsistencies
- Prepares structured datasets for analysis
- Business-ready layer
- Implements Star Schema
- Optimized for reporting and analytics
This project is licensed under the MIT License. You are free to use, modify, and share this project with proper attribution.
Hi there! I'm Tannistha, also known as Tan;). I’m a third year computer science student specializing in data science and applying my knowledge here to track my progress and understanding. Thankyou