CSV File to Lakehouse Table using Fabric Notebooks

Описание: 🔥 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/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 2026 - Full Co...  
🎥    • Learn Microsoft Fabric Data Pipelines in 2...  
🎥    • Learn Microsoft Fabric Notebooks in 2026 -...  


🔗 All the Videos:
   / @aleksipartanentech  


Read CSV Files into Lakehouse Tables Using Notebooks in Microsoft Fabric
In this video, Aleksi demonstrates how to efficiently load and process different types of CSV files into Lakehouse tables using Microsoft Fabric notebooks. Learn step-by-step how to handle common scenarios like files with missing headers, alternative delimiters, and schema definitions.

What You’ll Learn:
🔷 How to load CSV files into Lakehouse tables using Microsoft Fabric notebooks
🔷 Handling files with headers and setting column names for files without headers
🔷 Working with different delimiters (e.g., semicolons)
🔷 Defining and applying schemas dynamically to your CSV files

Key Takeaways:
✨ Simplified approach to reading CSV files into Delta tables
✨ Solutions for common challenges like headers and delimiters
✨ Generate and apply JSON schemas dynamically for structured data
✨ Build a robust data pipeline for Lakehouse table creation

Related Hashtags:
#MicrosoftFabric #DataEngineering #Lakehouse #Notebooks #CSVFiles