Welcome to the Data Warehouse and Analytics Project repository! π
This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights.
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.
Develop a modern data warehouse using PostgreSQL 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.
For more details, refer to docs/requirements.md.
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 PostgreSQL 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.
data-warehouse-project/
β
βββ datasets/ # Raw datasets used for the project (ERP and CRM data)
β
βββ docs/ # Project documentation and architecture details
β βββ etl.drawio # Draw.io file shows all different techniquies and methods of ETL
β βββ data_architecture.drawio # Draw.io file shows the project's architecture
β βββ data_catalog.md # Catalog of datasets, including field descriptions and metadata
β βββ data_flow.drawio # Draw.io file for the data flow diagram
β βββ data_models.drawio # Draw.io file for data models (star schema)
β βββ naming-conventions.md # Consistent naming guidelines for tables, columns, and files
β
βββ scripts/ # SQL scripts for ETL and transformations
β βββ bronze/ # Scripts for extracting and loading raw data
β βββ silver/ # Scripts for cleaning and transforming data
β βββ gold/ # Scripts for creating analytical models
β
βββ tests/ # Test scripts and quality files
β
βββ README.md # Project overview and instructions
βββ LICENSE # License information for the repository
βββ .gitignore # Files and directories to be ignored by Git
βββ requirements.txt # Dependencies and requirements for the project
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 Sainath Dushatti.
Let's stay in touch! Feel free to connect with me on the following platforms: