Category: Fabric

Hello again!

Before life gets in the way, let’s try to wrap this up. If you have not red the first part, please do so before reading this one as some of the outputs of that part are necessary for the process we’ll see here. In this post I want to tackle the actual report. Since it’s not really data what we’ll translate I’ll call it metadata, but it’s not metadata either. We’ll extract all the titles, subtitles, text boxes, as well as which fields are used where, and crucially what’s the display name that is being used for a particular visual. Of course we may find a field for which no specific display name has been set, but we’ll use the original field name as display name and we’ll take it from there. But enough of all this talking, let’s get to it!

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Hello hello,

It’s been quite a few months since I last published. As I was going down the rabbit hole at work I thought it would be a good idea to blog my way through the tunnel. It turns out it was not. The sheer complexity of the task and some big gotchas rendered the approach unfeasible.

Now that the report is in production, it is time I try to write up the approach in a way that makes sense.

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Hello hello, before the topic cools down, let’s complete what we started the other day. As a quick recap we built a Power Automate flow that will launch refreshes of Power BI datasets only when certain ETL jobs of the server have successfully completed. And not only that, those datasets that read from certain high-demand databases will be limited to a certain number of simultaneous refreshes. If you haven’t read it, go and do it. In this article I want to share how I built the PowerApp to manage the ‘Datasets table’ and the ‘Preceeding jobs table’ we discussed on Part 1 of this series. I’m no expert in PowerApps. What I’ll share is what I’ve learned very recently by googling, asking around and tons of trial and error. If there are better ways of doing it, please let me know! with this out of the way, let’s get started!

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