Getting started with Azure and Databricks integration can be overwhelming for beginners. That’s why I built and shared a starter boilerplate project on GitHub—to simplify the learning curve and provide a practical, guided implementation.
⚙️ What This Project Covers
- Mounting Azure Data Lake Storage Gen2 to Databricks
- Creating bronze and silver Delta Lake layers
- Ingesting raw data into the bronze layer
- Transforming it into structured data in the silver layer
- Loading clean data into Azure SQL Database for reporting
Architecture: Modern Data Pipeline using Azure Delta Lake, & Databricks for transforming raw CSV data into actionable insights via Power BI.
While Power BI can connect directly to Delta tables, limitations in the community edition encouraged the use of Azure SQL Database as a bridge for visualization and analytics.
📂 GitHub Repository
All code, setup instructions, and architectural decisions are shared here:
👉 View the Boilerplate on GitHub
📌 Why This Project is Useful
If you're learning data engineering or mentoring junior engineers, this project serves as a foundation for understanding the Azure ecosystem and designing production-grade data workflows.
🤝 I’d love to hear your thoughts or ideas! Open to connect, collaborate, or answer any questions about this setup.
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