Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateJoin the OneLake & Platform Admin teams for an ask US anything on July 16th. Join now.
Hi,
I am trying to explore fabric notebook, when I try to work with CSV files I am looking for an option to load the CSV file to table programmatically?
Thanks
Solved! Go to Solution.
You can use pipelines to load the CSV file data into your tables.
You can also try notebooks:
https://learn.microsoft.com/en-us/fabric/data-engineering/lakehouse-notebook-load-data
Hi @yash_robin ,
Thanks for using Fabric Community.
As I understand you are very new to fabric and try to explore it.
Here is a very simple code to load any csv data to table using pyspark.
df.write.format("delta").saveAsTable("gopi_lake_house.new_table")
Additional docs to refer -
Work with Delta Lake tables in Microsoft Fabric - Training | Microsoft Learn
Please refer above docs it will help you to get through few examples.
Hope this is helpful. Please let me know incase of further queries.
Hi @yash_robin ,
Thanks for using Fabric Community.
As I understand you are very new to fabric and try to explore it.
Here is a very simple code to load any csv data to table using pyspark.
df.write.format("delta").saveAsTable("gopi_lake_house.new_table")
Additional docs to refer -
Work with Delta Lake tables in Microsoft Fabric - Training | Microsoft Learn
Please refer above docs it will help you to get through few examples.
Hope this is helpful. Please let me know incase of further queries.
Hi @yash_robin ,
Glad to know that your query got resolved. Please continue using Fabric Community on your further queries.
You can use pipelines to load the CSV file data into your tables.
You can also try notebooks:
https://learn.microsoft.com/en-us/fabric/data-engineering/lakehouse-notebook-load-data
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Fabric update to learn about new features.
User | Count |
---|---|
6 | |
4 | |
3 | |
2 | |
2 |