Complete Data Engineering Project with Azure Data Factory | Step-by-Step Guide

In this video, we walk you through a complete Data Engineering project using Azure Data Factory (ADF). Whether you're a beginner or looking to refine your skills, this tutorial covers everything you need to know to create, manage, and orchestrate data workflows.

What you'll learn:

How to set up Azure Data Factory
Building pipelines to move and transform data
Working with datasets, linked services, and triggers
Best practices for monitoring and troubleshooting ADF pipelines
Hands-on project that you can implement for real-world scenarios
By the end of this video, you’ll have the knowledge to design and deploy scalable data solutions on Azure using Data Factory. Don’t forget to like, share, and subscribe for more cloud computing and data engineering tutorials!

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👉 Timestamps:
00:00 Introduction
02:00 Setting up Azure Data Factory
10:30 Creating Pipelines and Datasets
20:45 Transforming Data with ADF
35:00 Monitoring and Troubleshooting
42:00 Real-world Use Cases
45:30 Conclusion and Next Steps

[D-DeepDiveDev]

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