Creating a separate table that is an aggregate of another that always updates.

[Anonymous]

So I have a list of users using a particular that is updated every hour, with who is using it and who is online. I have this linked into PowerBi already, but this list only updates every hour, so we cannot see the top users over a period of time (days, weeks, etc.)

I am having trouble creating a separate table that basically keeps a count of the users every hour that does not refresh with the original data set. Rather is updates it self and the count of users will increase for every refresh. 

Basically for everytime a user appears on the hourly refreshed list, I want to be able to add the count by +1 every time. So for example, if John appeared on the list for every refresh every hour ( for a typically 8 hour work day) he would appear to have an 8 next to his name on the count column in the other table. This would increase everyday or something.

Any help would be appreciated, thank you!

[Anonymous · Accepted solution]

HI @Anonymous,

Did these records directly replaced original records or append the records with the same user id into your excel file that stored online?
If you mean the first scenario, current power bi not contains save history records features, please create a new table to record user status change each time you updated.

Build and run flows from Excel 

If you mean the second one, you can add a DateTime field to records the operation time then it is simple to calculate the rolling user count based on that fields. 

Rolling Count =
VAR currDate =
    MAX ( table[Datetime] )
RETURN
    CALCULATE (
        COUNTROWS ( table ),
        FILTER ( ALLSELECTED ( table ), [Datetime] <= currDate ),
        VALUES ( table[UserID] )
    )

Regards,

Xiaoxin Sheng

[amitchandak]

@Anonymous , refer if this can help

https://blog.crossjoin.co.uk/2020/04/13/keep-the-existing-data-in-your-power-bi-dataset-and-add-new-...

https://www.thebiccountant.com/2017/01/11/incremental-load-in-powerbi-using-dax-union/