The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredCompete to become Power BI Data Viz World Champion! First round ends August 18th. Get started.
Hi,
I'm working with large datasets in Power BI that contain a DateTime column. I’m wondering how splitting this single DateTime column into two separate columns can help reduce memory usage and improve query performance in Power BI.
Thanks
Solved! Go to Solution.
Hi @Chandana_V ,
DateTime columns have high cardinality because each unique timestamp is treated as a distinct value. By splitting the column, you reduce the number of unique values in each column, which lowers cardinality and improves compression.
You can use power query to split column into Date and Time. Here is how:
Hope this helps!!
If this solved your problem, please accept it as a solution and a kudos!!
Best Regards,
Shahariar Hafiz
Hi @Chandana_V ,
DateTime columns have high cardinality because each unique timestamp is treated as a distinct value. By splitting the column, you reduce the number of unique values in each column, which lowers cardinality and improves compression.
You can use power query to split column into Date and Time. Here is how:
Hope this helps!!
If this solved your problem, please accept it as a solution and a kudos!!
Best Regards,
Shahariar Hafiz