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  • 9 месяцев назадОпубликованоAleksi Partanen - Master Microsoft Fabric

Eventstream Windowing Functions in Microsoft Fabric | DP-700 Exam

🔥 *Ace Your Certification Exams – Free Practice Questions!* 👉 ☕ *Enjoying the Content? Support the Channel!* 💖 👨‍💼 *Follow Me on LinkedIn!* 🔗 🚨 *Join the Free Microsoft Fabric Community on Discord!* 👉 📚 *Recommended courses on Datacamp:* Python Data Fundamentals: Data Analyst in Python: SQL Fundamentals: Power BI Fundamentals: PL-300: Microsoft Power BI Data Analyst: Data analyst in Power BI: More courses: 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: 🔗 🎓 *More of My Content:* 🎥 🎥 🎥 🎥 🎥 🎥 🎥 🔗 All the Videos: @AleksiPartanenTech/videos Windowing functions are essential for real-time data processing, and Microsoft Fabric Eventstreams offers five powerful options. In this episode of the DP-700 exam prep series, I break down each windowing function—verbally, visually, and in table format—so you fully understand how they work before using them in real-world scenarios or the exam. 📌 What You’ll Learn: 🔷 What are windowing functions in Eventstreams? 🔷 How tumbling, hopping, sliding, session, and snapshot windows work 🔷 The differences between each window type & when to use them 🔷 Real-world use cases for streaming data processing 🔷 Hands-on tutorial: Configuring windowing functions in Microsoft Fabric 🔷 Practice questions to prepare for the DP-700 exam 🚀 Why Watch This Video? ✨ Clear, structured explanations of each windowing function ✨ Side-by-side comparisons to help you understand their unique behavior ✨ Hands-on demo in Fabric to apply your knowledge ✨ Exam-style practice questions to test your understanding 📺 Watch now and take your Microsoft Fabric skills to the next level! #DP700 #MicrosoftFabric #Eventstream #RealTimeData #DataEngineering #DataStreaming #KQL #SQL #PySpark #StreamingAnalytics #MicrosoftCertification #ExamPreparation #azure #streamanalytics 🏁 Timestamps: 00:00 Intro 01:00 Theory & Concepts 19:49 Demos & Tutorials 27:04 Practice Questions