24. 🚀 UDF in Databricks | User Defined Functions

Опубликовано: 24 Июль 2026
на канале: learn by doing it
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#️⃣ #databricks #DataEngineering #AzureDataFactory

In this video, we dive deep into User Defined Functions (UDFs) in Databricks and learn how to extend PySpark with custom logic. You’ll understand:

✅ What is a UDF in Databricks & when to use it
✅ Difference between UDF, Pandas UDF, and built-in functions
✅ Step-by-step coding examples in PySpark
✅ Performance considerations & best practices
✅ Real-world use cases (data cleaning, transformations, custom business rules)

👉 Perfect for Data Engineers & Spark developers preparing for projects or interviews!

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📽️ Chapters
⏱️ 0:00 - Introduction

📚 Playlists You’ll Love:

1️⃣ AWS Data Engineer:
🔗    • AWS DATA ENGINEER  

2️⃣ Azure Data Engineer Playlist:
🔗    • Complete azure data engineer Course | azur...  

3️⃣ SQL Playlist:
🔗    • SQL Playlist  

6️⃣ PySpark Playlist:
🔗    • Pyspark Tutorial  

5️⃣ Azure Data Factory Playlist:
🔗    • Azure Data Factory  

4️⃣ Python Playlist:
🔗    • Python Tutorial  


7️⃣ Azure Data Engineer Projects:
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8️⃣ Data Engineer Interview Prep:
🔗    • Data Engineer Interview Playlist  

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

🔖 Tags:
#dataengineer #azuredataengineer #awsdataengineer #pyspark #databricks #adf #azuredatafactory #cloudcomputing #etl #datascience

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