📊 dbt SQL Server Learning Project

A hands-on learning repository focused on mastering dbt (Data Build Tool) with Microsoft SQL Server.
This project is designed to build practical skills in modern data transformation, analytics engineering, and production-style data modeling workflows.

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🚀 Project Goals

The primary objective of this repository is to:

• Learn dbt fundamentals through real implementation
• Build scalable and maintainable SQL transformation pipelines
• Understand analytics engineering best practices
• Work with SQL Server as the transformation layer backend
• Develop production-style dbt project architecture

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🧠 Topics Covered

This project includes practical implementation of:

Core dbt Concepts

• dbt project structure
• dbt models and materializations
• Jinja templating
• dbt configurations

Data Modeling Layers

• Staging models (stg)
• Intermediate transformations (int)
• Mart/business models (mart)

Data Quality & Testing

• Schema tests
• Custom tests
• Data validation techniques
• Source freshness checks

Advanced dbt Features

• Incremental models
• Snapshots
• Seeds
• Macros
• Variables and environments

Documentation & Lineage

• Auto-generated dbt documentation
• Model lineage tracking
• Dependency visualization

Development Workflow

• Local development setup
• Environment management (dev / prod)
• Debugging and troubleshooting
• CI/CD fundamentals for dbt projects

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🛠️ Tech Stack

Technology	Purpose
dbt Core	Data transformation framework
SQL Server	Data warehouse / database
SQL	Data transformation language
Git & GitHub	Version control
Python	dbt runtime environment

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