Jul 14 2021 04:27 AM
Jul 14 2021 04:27 AM
I currently use Power Automate to get daily logs from a third party service using the HTTP connector. The Power Automate flow returns around 20 separate json files per day. When combined the files provide the complete log for the day. The files have to be separated out to keep the GET request within the limit of the third party service. The files are saved in SharePoint and then combined in Power BI via a Dataflow that only combines the latest 15-days of data.
This approach has worked well for the use case but I have other similar use cases and I know they will put a strain on my Power Automate account and SharePoint. From time to time the writing (by Power Automate) or subsequent reading of the files (by the Dataflow) is impacted by SharePoint throttling. I feel I need to industrialise the approach and move away from using SharePoint as the repository.
I've looked through the Microsoft documentation for Power BI and Data Factory and I cannot pick a clear path. It is not clear to me that Data Factory will be able to get the data from the third party service. My current thinking is that I:
I could create a new Logic App for each additional use case.
The alternative seems to be to use Data Factory and then Power BI but then I am not clear whether I need to use a Logic App to stage the files first for Data Factory to consume.
I do not need extra items like Synapse Analytics. Power BI is more than adequate. It is important that I save the daily snapshots as the third party service only holds data for 7-days.
What does this community advise?
[I've also asked the Power BI community to get their perspective.]
Aug 05 2021 12:05 PM - edited Aug 05 2021 12:07 PM
In part because I lose several hours per day due to SharePoint throttling. In part because the Power Automate calls are not 100% reliable. But also there is element of product development maturity. I've started out as a citizen data cruncher and I recognise the need to industrialise and professionalise my work.
Aug 05 2021 12:30 PM