Learn Microsoft Fabric Data Pipelines in 2025 - Full Course! скачать в хорошем качестве

Learn Microsoft Fabric Data Pipelines in 2025 - Full Course!

🔥 Ace Your Certification Exams – Free Practice Questions! 👉 https://certiace.com/ ☕ Enjoying the Content? Support the Channel! 💖 https://buymeacoffee.com/aleksipartan... 👨‍💼 Follow Me on LinkedIn! 🔗   / aleksi-partanen   🚨 Join the Free Microsoft Fabric Community on Discord! 👉   / discord   📚 Recommended courses on Datacamp: Python Data Fundamentals: https://datacamp.pxf.io/c/6429510/312... Data Analyst in Python: https://datacamp.pxf.io/c/6429510/312... SQL Fundamentals: https://datacamp.pxf.io/c/6429510/312... Power BI Fundamentals: https://datacamp.pxf.io/c/6429510/291... PL-300: Microsoft Power BI Data Analyst: https://datacamp.pxf.io/c/6429510/312... Data analyst in Power BI: https://datacamp.pxf.io/c/6429510/312... More courses: https://datacamp.pxf.io/c/6429510/207... These are affiliate links. If you sign up through them, I may earn a small commission at no extra cost to you. Thanks for supporting the channel. 📂 Access Learning Materials (Files, Code, etc.) 💾 Download helpful resources here: 🔗 https://drive.google.com/drive/folder... 🎓 More of My Content: 🎥    • DP-700 Microsoft Certified: Fabric Data En...   🎥    • Microsoft Fabric Data Engineering   🎥    • Microsoft Fabric Tutorials   🎥    • DP-600 Microsoft Certified: Fabric Analyti...   🎥    • Learn Azure Data Factory in 2025 - Full Co...   🎥    • Learn Microsoft Fabric Data Pipelines in 2...   🎥    • Learn Microsoft Fabric Notebooks in 2025 -...   🔗 All the Videos:    / @aleksipartanentech   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