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🎯 Complete Azure ETL Pipeline| SSMS + Azure SQL DB + ADF + ADLS + Databricks (Unity Catalog) + BI

🚀 Welcome back to DataToCrunch! It's been a while since we got in touch!

In this video, we’ll build a real-world, end-to-end Azure Data Engineering Project using the AdventureWorks2022 dataset — perfect for data engineers and aspiring professionals.

📌 What You'll Learn:
In this project, we simulate how a company like Adventure Works Cycles can build a scalable, governed data pipeline using:

✅ Azure SQL Database — Stores operational data from SSMS
✅ Azure Data Factory (ADF) — Moves raw data into ADLS Gen2 Bronze layer
✅ Azure Databricks — Cleans, transforms & stores data in Silver and Gold layers using Delta format
✅ Unity Catalog — Ensures secure, centralized data governance across all layers
✅ Power BI — Visualizes insights from the Gold layer with interactive dashboards

🔧 Tools & Technologies:
✅ SSMS
✅ Azure SQL DB
✅ Azure Data Factory
✅ ADLS Gen2
✅ Azure Databricks + Unity Catalog
✅ Power BI

🔔 Don’t forget to Like, Subscribe, and Comment if you found this helpful!

#azure #azuretutorials #azuredatafactory #azuredatabricks #azuresql #azureguild #azuredataengineer #azureservices #databricks #databrickstutorial #powerbi #dataanalysis #datacleaning #datatransformation #datavisualization #dataanalytics #etl

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