Dimensional-Modeling-Practical-guide

Why Data Modeling Matters

• Ensures data reflects business rules and goals
• Enables clear communication between stakeholders (engineers, analysts, executives)
• Prevents confusion and improves data quality
• Avoids creating “data swamps” with unstructured or inaccurate data
• Supports decision-making and AI/ML applications

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Levels of Data Modeling

1. Conceptual Model – High-level overview of business entities
2. Logical Model – Detailed structure with relationships and rules
3. Physical Model – Actual database implementation

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Key Takeaways

• Always begin by understanding the business context
• Model data deliberately to serve specific business domains (e.g., marketing, finance)
• Poor data modeling leads to inefficiencies, confusion, and bad decisions
• Modern data engineering needs modeling despite new tech (e.g., Data Lakes, NoSQL)
• Targeted data models improve insights and AI outcomes

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Project Structure

Dimensional_Modeling_Practiical_guide/
├── Data modeling architectures/
│   └── Star schema/
│       └── README.md
│
├── Dimension modeling/
│   ├── Conformed_Dim/
│   │   ├── query.sql
│   │   └── README.md
│   ├── Degenerate_Dim/
│   │   ├── query.sql
│   │   └── README.md
│   ├── Fast_Changing_Dim/
│   │   ├── query.sql
│   │   └── README.md
│   ├── Heterogenous_Dim/
│   │   ├── query.sql
│   │   └── README.md
│   ├── Junk_Dim/
│   │   ├── Junk Dimension.sql
│   │   └── README.md
│   ├── Multi-Valued-Dim/
│   │   ├── query.sql
│   │   └── README.md
│   ├── Outrigger_Dim/
│   │   ├── Outrigger Dimension.sql
│   │   └── README.md
│   ├── Role_Playing_Dim/
│   │   ├── README.md
│   │   └── Role-Playing Dimension.sql
│   ├── Shrunken_Dim/
│   │   ├── query.sql
│   │   └── README.md
│   ├── Slowly_Changing_Dim/
│   │   ├── README.md
│   │   └── Slowly Changing Dimension Types.sql
│   ├── Snowflak_Dim/
│   │   ├── query.sql
│   │   └── README.md
│   ├── Swappable_Dim/
│   │   ├── query.sql
│   │   └── README.md
│   └── README.md
│
├── Fact modeling/
│   ├── Additive facts/
│   │   └── README.md
│   ├── Derived facts/
│   │   └── README.md
│   ├── Fact Granularity/
│   │   └── README.md
│   ├── Fact-less fact/
│   │   └── README.md
│   ├── Non-additive facts/
│   │   └── README.md
│   ├── Semi-additive facts/
│   │   └── README.md
│   ├── Textual facts/
│   │   └── README.md
│   └── README.md
│
├── Imgs/
│   └── fact-star.png
│
├── docker-compose.yml
├── LICENSE
└── README.md

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Usage

To use these schemas, execute the SQL statements in your database management system. You can modify and extend the schemas based on your specific requirements.

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Contributions

This project is currently maintained for learning and demonstration purposes. If you'd like to contribute, feel free to fork the repository and open a pull request. Suggestions and improvements are always welcome!

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Author

Ebrahim Emad GitHub Profile

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License

This project is licensed under the MIT License – see the LICENSE file for details.