This project showcases a complete data warehousing and analytics solution, including building a PostgreSQL data warehouse and generating insights from integrated data sources. It is intended as a portfolio project and demonstrates practical data engineering and analytics skills.
Credits: Project inspired by and based on content from Data with Baraa.
This project includes:
- Data Architecture: Building a data warehouse using the Medallion Architecture with Bronze, Silver, and Gold layers.
- ETL Pipelines: Extracting, transforming, and loading data from multiple source systems into the warehouse.
- Data Modeling: Designing fact and dimension tables for efficient analytical queries.
- Data Analysis: Using SQL queries to generate insights.
- Datasets: Access the project datasets (CSV files).
- PostgreSQL: Open-source relational database for hosting your data warehouse.
- VS Code: A go-to GUI for PostgreSQL database management and executing SQL queries.
- Notion Project Steps: Access all project phases and tasks.
PostgreSQL-Data-Warehouse-Project/
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├── datasets/ # Raw datasets used for the project (ERP and CRM data)
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├── docs/ # Project documentation and architecture details
│ ├── ETL_process.png # A diagram created in Draw.io showing ETL techniques and methods used in this project
│ ├── data_architecture.png # A diagram created in Draw.io showing the project's architecture
│ ├── data_catalogue.md # Catalog of datasets, including field descriptions and metadata
│ ├── data_flow.png # A diagram created in Draw.io for the data flow diagram
│ ├── data_integration_model.png # A diagram created in Draw.io that shows how tables are related to each other.
│ ├── gold_layer_data_model.png # A diagram created in Draw.io that shows gold layer data model (star schema)
│ ├── naming-conventions.md # Consistent naming guidelines for tables, columns, and files
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├── scripts/ # SQL scripts for ETL and transformations
│ ├── bronze/ # Scripts for extracting and loading raw data
│ ├── silver/ # Scripts for cleaning and transforming data
│ ├── gold/ # Scripts for creating analytical models
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├── tests/ # Test scripts and quality files
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├── README.md # Project overview and instructions
├── LICENSE # License information for the repository
├── .gitignore # Files and directories to be ignored by Git
Build a PostgreSQL data warehouse that combines sales data for reporting and analysis.
- Load data from two CSV sources (ERP and CRM).
- Clean and handle data quality issues before analysis.
- Integrate both sources into a single, analytics-friendly data model.
- Use only the latest dataset (no historical tracking required).
- Document the data model for business users and analytics teams.
Develop SQL-based analytics to deliver granular insights into:
- Customer Behavior
- Product Performance
- Sales Trends
These insights empower stakeholders with critical business metrics, enabling strategic decision-making.
The data architecture for this project adheres to the Medallion Architecture, comprising Bronze, Silver, and Gold layers:
- Bronze Layer: Stores raw data in its original form from the source systems. Data is ingested from CSV files into the PostgreSQL database.
- Silver Layer: Involves data cleansing, standardization, and normalization processes to prepare data for analysis.
- Gold Layer: Hosts business-ready data modeled into a star schema 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.