End-to-End Azure Data Factory Project | Copy Data Based on Latest Modified Time

End-to-End Azure Data Factory Project Tutorial
Learn how to create a complete Azure Data Factory (ADF) project for copying data dynamically based on the latest modified time! 🚀 This step-by-step guide is perfect for aspiring and experienced Azure Data Engineers looking to master real-world use cases in ADF.

💡 What You'll Learn:

1. Configure Azure Data Factory pipelines for dynamic data copy.
2. Use parameters and variables to filter data by the latest modified time.
3. Connect ADF with Azure Blob Storage, SQL Server, and other data sources.
4. Monitor and troubleshoot ADF pipelines like a pro.
5. Best practices for Azure Data Engineering in real-world projects.

🔑 Key Features:

Dynamic Data Copy using Incremental Load.
Filter data using Last Modified Time.
Real-time monitoring of pipelines.
👨‍💻 Who is this for? This tutorial is ideal for:

Azure Data Engineers
Data enthusiasts aiming to implement scalable ETL solutions in the cloud.
Professionals preparing for Azure certifications (DP-203, DP-900).


🚀 Watch this video to level up your Azure Data Factory skills and become a data engineering expert!

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