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🔥 *Learn Microsoft Fabric hands-on!* 👉 https://www.skool.com/fabricforge 🔥 *Ace Your Certification Exams – Free Practice Questions!* 👉 https://certiace.com/ ☕ *Enjoying the Content? Support the Channel!* 💖 https://buymeacoffee.com/aleksipartanentech 👨💼 *Follow Me on LinkedIn!* 🔗 https://www.linkedin.com/in/aleksi-partanen/ 🚨 *Join the Free Microsoft Fabric Community on Discord!* 👉 https://discord.gg/33BR22bcHH 📚 *Recommended courses on Datacamp:* Python Data Fundamentals: https://datacamp.pxf.io/c/6429510/3120208/13294 Data Analyst in Python: https://datacamp.pxf.io/c/6429510/3120142/13294 SQL Fundamentals: https://datacamp.pxf.io/c/6429510/3120137/13294 Power BI Fundamentals: https://datacamp.pxf.io/c/6429510/2917378/13294 PL-300: Microsoft Power BI Data Analyst: https://datacamp.pxf.io/c/6429510/3120133/13294 Data analyst in Power BI: https://datacamp.pxf.io/c/6429510/3120130/13294 More courses: https://datacamp.pxf.io/c/6429510/2073461/13294 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/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://www.youtube.com/playlist?list=PLlqsZd11LpUGsj71luXuOhk78fF0frscd 🎥 https://youtu.be/0PjuNHYiX00 🎥 https://youtu.be/1PGE9bWqY2g 🎥 https://youtu.be/qoVhkiU_XGc 🔗 All the Videos: https://www.youtube.com/@AleksiPartanenTech/videos Want to understand how Spark Structured Streaming works in Microsoft Fabric? In this video, Aleksi explains how to stream data into Delta tables using PySpark notebooks and dives into the key concepts, settings, and best practices required for the DP-700 exam. 📌 What You’ll Learn: 🔷 What Spark Structured Streaming is and how it differs from batch processing 🔷 How to stream data from JSON files, Event Hub, or Kafka into Lakehouse Delta tables 🔷 Key PySpark functions like readStream, writeStream, start(), and checkpointLocation 🔷 How Spark handles micro-batches and ensures exactly-once processing 🔷 Using StreamingQuery to monitor and control streaming jobs in real time 💡 Why This Matters: ✨ Spark Structured Streaming is critical for real-time analytics and event-driven processing ✨ Understanding stream checkpoints, triggers, and session management is essential for the DP-700 ✨ Learn to implement streaming logic using familiar batch-style code in Fabric notebooks #MicrosoftFabric #DP700 #SparkStructuredStreaming #RealTimeData #DeltaLake #PySpark #StreamingData #DataEngineering #Azure #Lakehouse #DataPipelines #StreamingQuery 🏁 Timestamps: 00:00 Intro 00:45 Theory & Concepts 08:29 Demos & Tutorials 21:23 Practice Questions
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