Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hi all,
For most of my Power BI experience, I had always dealt with Date tables that only go to 'Day' level of granularity. Then of course I'll usually have Month, Quarter, Year, etc. Now, I am dealing with log event data from UiPath (RPA). For fields I have things like Status, exception, Started (example: 6/22/2021 12:19:00 AM)
With these type of timestamps, what should I do for a date table? I haven't run into use cases like this and can't find too much info online with folks using this. Please, if you have any insight or resoueces, send them along my way. All the best!
Solved! Go to Solution.
I usually handle that scenario by splitting the DateTime column in the fact table into separate Date and Time columns (lower granularity, which will improve performance and decrease file size). You can then create separate Date and Time tables. You can also consider "rounding" your Time values to the nearest 5/10/15 minutes to further decrease granularity, if desired (but looks like you have minutes and not seconds, so it should be ok).
In your visuals, you can use both your Date and Time tables (e.g., Dates on rows and Time on columns in a matrix to make a heat map for example), and in your measures (if you need more than basic aggregations) you can iterate over your Date and/or Time columns.
Pat
To learn more about Power BI, follow me on Twitter or subscribe on YouTube.
I usually handle that scenario by splitting the DateTime column in the fact table into separate Date and Time columns (lower granularity, which will improve performance and decrease file size). You can then create separate Date and Time tables. You can also consider "rounding" your Time values to the nearest 5/10/15 minutes to further decrease granularity, if desired (but looks like you have minutes and not seconds, so it should be ok).
In your visuals, you can use both your Date and Time tables (e.g., Dates on rows and Time on columns in a matrix to make a heat map for example), and in your measures (if you need more than basic aggregations) you can iterate over your Date and/or Time columns.
Pat
To learn more about Power BI, follow me on Twitter or subscribe on YouTube.
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 Power BI update to learn about new features.
User | Count |
---|---|
77 | |
73 | |
58 | |
35 | |
31 |
User | Count |
---|---|
99 | |
57 | |
56 | |
46 | |
40 |