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Learn Azure Data Factory in 2025 - Full Course!

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Master Azure Data Factory: A Comprehensive Guide
In this video, Aleksi dives deep into Azure Data Factory, exploring its powerful features and practical use cases. Whether you’re a beginner or an experienced data engineer, this tutorial offers insights into building efficient data pipelines, handling complex transformations, and optimizing workflows.
What You’ll Learn:
🔷 How to use Azure Data Factory for data integration and orchestration
🔷 Key components like pipelines, datasets, and linked services
🔷 Techniques for managing triggers, parameters, and activities
🔷 Best practices for creating scalable and maintainable data pipelines
Key Takeaways:
✨ Gain a solid understanding of Azure Data Factory’s core functionalities
✨ Learn to automate and monitor data workflows efficiently
✨ Explore real-world scenarios for ETL processes and data transformation
✨ Valuable tips and tricks to optimize pipeline performance
🏁 Timestamps
00:00 Intro
05:32 Overview & Setup
28:56 Azure SQL Database Linked Service
39:01 Copy Data To Azure SQL Database
46:26 Triggers
1:11:33 Parameters & Variables
1:34:14 Expressions & Dynamic Content
1:51:13 If & Switch
2:07:06 Foreach Activity
2:21:14 Lookup Activity
2:30:13 Get Metadata Activity
2:37:52 Best Practices
2:41:23 Pipeline Return Values
2:48:37 Pipeline Configuration Files
3:01:04 Script Activity
3:07:03 Copy JSON File To Azure SQL Database
Related Hashtags:
#AzureDataFactory #DataEngineering #ETL #DataPipelines #CloudComputing #AzureTutorial
🚀 Get ahead with free practice questions for certification exams
☕ *Enjoying the Content? Support the Channel!*
Buy me a coffee and keep the knowledge flowing!
👨💼 *Follow Me on LinkedIn!*
📂 *Access Learning Materials (Files, Code, etc.)*
💾 Download helpful resources here:
🎓 *More of My Content:*
🔗 All the Videos:
Master Azure Data Factory: A Comprehensive Guide
In this video, Aleksi dives deep into Azure Data Factory, exploring its powerful features and practical use cases. Whether you’re a beginner or an experienced data engineer, this tutorial offers insights into building efficient data pipelines, handling complex transformations, and optimizing workflows.
What You’ll Learn:
🔷 How to use Azure Data Factory for data integration and orchestration
🔷 Key components like pipelines, datasets, and linked services
🔷 Techniques for managing triggers, parameters, and activities
🔷 Best practices for creating scalable and maintainable data pipelines
Key Takeaways:
✨ Gain a solid understanding of Azure Data Factory’s core functionalities
✨ Learn to automate and monitor data workflows efficiently
✨ Explore real-world scenarios for ETL processes and data transformation
✨ Valuable tips and tricks to optimize pipeline performance
🏁 Timestamps
00:00 Intro
05:32 Overview & Setup
28:56 Azure SQL Database Linked Service
39:01 Copy Data To Azure SQL Database
46:26 Triggers
1:11:33 Parameters & Variables
1:34:14 Expressions & Dynamic Content
1:51:13 If & Switch
2:07:06 Foreach Activity
2:21:14 Lookup Activity
2:30:13 Get Metadata Activity
2:37:52 Best Practices
2:41:23 Pipeline Return Values
2:48:37 Pipeline Configuration Files
3:01:04 Script Activity
3:07:03 Copy JSON File To Azure SQL Database
Related Hashtags:
#AzureDataFactory #DataEngineering #ETL #DataPipelines #CloudComputing #AzureTutorial
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