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Microsoft Fabric End-to-End Tutorial | Lakehouse, Pipeline, Azure SQL | Real-Time Data Engineering

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In this session, we cover a complete end-to-end Microsoft Fabric data engineering workflow with real-time scenarios.

🔹 What you will learn in this video:

How to create a Microsoft Fabric Workspace
How to create Source and Target Lakehouses
Uploading CSV files into Lakehouse
Creating Azure SQL Database in Fabric
Understanding Pipelines (ETL process)
Copying data from:
Lakehouse ➝ Lakehouse (File to File)
Lakehouse ➝ Lakehouse (File to Table)
Lakehouse ➝ Azure SQL Database

🔹 Real-time concepts covered:

Difference between Append vs Overwrite
Pipeline execution & monitoring
Data movement using Copy Data Activity
Understanding OneLake architecture

This is a hands-on practical demo designed for beginners to advanced learners who want to become Microsoft Fabric / Azure Data Engineers.

📌 Use case explained with real business scenarios like:

Inventory tracking (Overwrite)
Order history tracking (Append)

👉 By the end of this video, you will understand how to build end-to-end ETL pipelines in Microsoft Fabric.

📢 If you're preparing for Data Engineering interviews or looking to upskill in Microsoft Fabric, this video is for you!

Видео Microsoft Fabric End-to-End Tutorial | Lakehouse, Pipeline, Azure SQL | Real-Time Data Engineering канала Eclasess EduTech
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