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Anonymous's avatar
Anonymous
Not applicable
6 years ago
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Create historic data table with Web incoming data

Hello all. I did a lot of research here and so far i couldn't find any suitable solution. I create a table in Power Query Editor that contains sensor data directly from Web. This data is a CSV-dat file and usually updated with new lines every 2 hours. The "current" is the month May in this excercise - see photo attached. In June this file will contain only "June" data and the "May" data will then be available under a different file name. The files are small (<1000 rows) so data handling does not seem to be a issue.

 

Now i want to create Visual Graphs for this hourly-updated data and publish the report. Is there any way - in every refresh - to collect the newly incoming data into a table ?  I want to to automate the process and not having to manually load/join tables every month.

 

"Incremental refresh" here would not work as the incoming data contain only the current month.

Other commands such as "Union" will also not work.

 

I hope the above was clear - any input and guidance appreciated! Regards

 

 

4 Replies

  • Greg_Deckler's avatar
    Greg_Deckler
    Community Champion

    So generally no. What I would recommend would be to setup a process via Power Automate or other means by which files are copied to a single folder and given a unique name. Then use a Folder query in Power BI.

    • Anonymous's avatar
      Anonymous
      Not applicable

      I see...it's getting really complicated then..Thanks for the answer.

    • Anonymous's avatar
      Anonymous
      Not applicable

      Dear Greg and all,

      i finally managed to do it using a Dataflow and a Dataset. The i schedule refresh intervals for both and the report is always up to date.

      More information on how to do it you can find under this page - which was really heplful for me :

      https://exceed.hr/hr/blog/incremental-refresh-using-powerbi-pro-and-dataflows 

       

      So far i don't see any drawbacks with this approach apart from the fact tha the data update is a bit slow.

       

      Antonis