Notebooks in Microsoft Fabric | DP-700 Exam Prep скачать в хорошем качестве

Notebooks in Microsoft Fabric | DP-700 Exam Prep

🔥 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   🎓 My free 3-hour notebook masterclass: 🎥    • Learn Microsoft Fabric Notebooks in 2025 -...   Looking to master notebooks in Microsoft Fabric for the DP-700 exam? This episode covers everything you need to know about Spark notebooks, their capabilities, and how they fit into real-world data engineering workflows. 📌 What You’ll Learn: 🔷 Notebook UI Walkthrough – Key components and best practices 🔷 Language Options – PySpark, Spark SQL, and when to use them 🔷 Working with Data – Reading, writing, and transforming datasets 🔷 Notebook Parameters – How to use parameters to make your notebooks dynamic 🔷 Running Notebooks – Scheduling, orchestrating with pipelines, and DAG dependencies 🔷 Notebook Utilities & Magic Commands – Essential tricks for efficiency ✨ Key Takeaways: ✅ How to effectively use Microsoft Fabric notebooks for data transformation ✅ Best practices for running notebooks in a pipeline ✅ How to use DAG notation for notebook orchestration ✅ Hands-on tutorial to get started quickly #MicrosoftFabric #DataEngineering #DP700 #Notebooks #Spark #DataTransformation #ETL #PySpark #Python #SQL #Parameters 🏁 Timestamps: 00:00 Intro 01:55 Theory & Concepts 12:42 Demos & Tutorials 27:12 Practice Questions