The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends September 15. Request your voucher.
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
User | Count |
---|---|
70 | |
64 | |
62 | |
49 | |
28 |
User | Count |
---|---|
117 | |
75 | |
61 | |
54 | |
42 |