Welcome to Part-2 of the Azure Data Engineering Series!
In this hands-on Microsoft Fabric tutorial, we continue our real-world Azure Data Engineering project by moving data from Azure Data Lake Storage (ADLS) into Microsoft Fabric Lakehouse architecture using the Medallion Architecture approach.
In this video, you will learn:
✅ How to create Microsoft Fabric Workspaces
✅ How to configure Fabric Capacity
✅ How to create Bronze, Silver, and Gold Lakehouses
✅ How to organize enterprise data using Medallion Architecture
✅ How to ingest data from ADLS into Microsoft Fabric
✅ How Azure Data Factory pipelines work with watermark incremental loading
✅ How auditing and pipeline logging work in enterprise ETL systems
✅ How CI/CD environments are prepared using Dev and Prod workspaces
This tutorial is part of a complete end-to-end Azure Data Engineering project where we migrate data from an on-premises SQL Server database into a modern cloud analytics platform.
🧠 Technologies Covered:
• Microsoft Fabric
• Azure Data Factory (ADF)
• Azure Data Lake Storage (ADLS Gen2)
• Lakehouse Architecture
• Medallion Architecture
• Incremental Loading
• Watermarking
• Data Engineering
• Enterprise ETL Pipelines
• SQL Server
• CI/CD Concepts
📌 Previous Series:
In Part-1, we covered:
✔ SQL Server → ADLS Incremental Loading
✔ Watermark Pipeline Design
✔ ADF Activities
✔ Pipeline Auditing & Monitoring
✔ Enterprise Architecture Design
🔥 Recommended Practice:
Download the AdventureWorksLT2022 database from Microsoft and practice every step demonstrated in this series using real-world scenarios.
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