48. Group By in PySpark | Microsoft Fabric Playlist

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n this video, we explain how to use groupBy() in PySpark inside Microsoft Fabric / Databricks 🚀.
groupBy() is one of the most important functions in PySpark, allowing you to aggregate and summarize large datasets efficiently.

🔑 What you’ll learn in this video:
✔️ What is groupBy() in PySpark?
✔️ Common aggregate functions: count(), sum(), avg(), min(), max()
✔️ Group By with multiple columns
✔️ Real-world example: Sales grouped by Region & Category
✔️ Using agg() for multiple aggregations
✔️ Performance tips for large datasets in Microsoft Fabric Lakehouse
✔️ Best practices for Group By in Data Engineering projects

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📽️ Chapters
⏱️ 0:00 - Introduction

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🙏 Hope you enjoyed the video and learned something valuable!
📺 See you in the next one — until then, Bye-Bye 👋

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