🔥 *Ace Your Certification Exams – Free Practice Questions!*
🚀 Get ahead with free practice questions for certification exams
👉 https://certiace.com/
☕ *Enjoying the Content? Support the Channel!*
Buy me a coffee and keep the knowledge flowing!
💖 https://buymeacoffee.com/aleksipartanentech
👨💼 *Follow Me on LinkedIn!*
🔗 https://www.linkedin.com/in/aleksi-partanen/
📂 *Access Learning Materials (Files, Code, etc.)*
💾 Download helpful resources here:
🔗 https://drive.google.com/drive/folders/137oJUhjRJhZZsnRln8tlJBcl1OYc2X2C?usp=sharing
🎓 *More of My Content:*
🎥 https://www.youtube.com/playlist?list=PLlqsZd11LpUES4AJG953GJWnqUksQf8x2
🎥 https://www.youtube.com/playlist?list=PLlqsZd11LpUHKLILXjfW5ORjNiksC3GWZ
🎥 https://www.youtube.com/playlist?list=PLlqsZd11LpUEq26ZswRz58k5O5HwoSDvA
🎥
https://youtu.be/0PjuNHYiX00
🎥
https://youtu.be/1PGE9bWqY2g
🎥
https://youtu.be/qoVhkiU_XGc
🔗 All the Videos:
https://www.youtube.com/@AleksiPartanenTech/videos
Master Microsoft Fabric Data Pipelines: A Complete Masterclass
In this in-depth masterclass, Aleksi walks you through everything you need to know about building and optimizing data pipelines in Microsoft Fabric. With a focus on both beginner-friendly and advanced concepts, this course provides practical insights and real-world examples to help you master Fabric’s data engineering tools.
What You’ll Learn:
🔷 Setting up and managing pipeline parameters and variables
🔷 Using dynamic content for flexible and reusable pipelines
🔷 Implementing error handling and iterative loops in your workflows
🔷 Designing metadata-driven pipelines for scalability and automation
🔷 Scheduling, monitoring, and optimizing Fabric pipelines
🔷 Integrating with external services to enhance functionality
Key Takeaways:
✨ Learn best practices for dynamic pipeline designs
✨ Handle errors effectively to build resilient workflows
✨ Save time with metadata-driven configurations
✨ Explore advanced integrations to extend Fabric’s capabilities
🏁 Timestamps:
00:00 Intro
04:49 The Overview
16:15 Copy Data Activity
27:35 Parameters
37:01 Variables
47:02 Expressions and Dynamic Content
59:15 If Conditions
1:10:20 For Each Activity
1:22:35 Lookup Activity
1:32:40 Get Metadata Activity
1:40:09 Scheduling & Monitoring Pipelines
1:48:17 Pipeline Return Values
1:57:20 Activity Inputs & Outputs
2:06:09 Switch Activity
2:11:11 Data Pipeline Best Practices
2:16:33 Delete Data Activity
2:20:51 Filter Activity
2:27:19 Copy Data to a Fabric Data Warehouse
2:33:15 Stored Procedures in Data Pipelines
2:43:55 Configuration-Based Pipelines
2:56:31 Dynamic Content in Column Mappings
Related Hashtags:
#MicrosoftFabric #DataPipelines #DataEngineering #AzureTutorial #Automation #MetadataDrivenDesign