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Ok, so today there are no calculation groups in place, but I want to explain a technique to use incremental refresh even when your source does not support query folding as we normally understand it. Let me explain myself: In general the only use case that is widely documented for incremental refresh is when you load from a relational database that has a static date column (such as creation date of the record). You create your RangeStart and RangeEnd datetime parameters and off you go. And if you only read from your beautiful DWH, lucky you, no need to read further.

In the real world (at least the one that I know) people want to retrieve data from SAP, like a lot. I don’t really understand this SAP thing, but basically they keep scrolling adding columns with weird icons next to it until it’s all in. However, if they try to retrieve too much info, the query fails. So what is to be done?

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Once again I’ll recreate here a use case I found at work because I think it’s cool and with some gotcha’s that can be fixed.

The use case itself is broad enough. We are measuring the duration of an event (working hours, machine runs, etc) and we want to visualize it. Since we want to compare things, we need to graph a number, however, as humans, we might like to see 4h 30min instead of 270 min. Searching around in google you will find several approaches for transforming a number of minutes or seconds into higher units of time. And that’s a great starting point. For example here’s a great post by Reza Rad. Here we’ll just imagine we have minutes and we want hours and minutes.

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Is no secret that if you work daily with Power BI, you should be using Tabular Editor,  but if you are working with lots of different datasets you probably feel like you are doing the same thing over and over again. Then it’s time to bit the bullet and get your hands dirty with Tabular Editor scripts. If you do, don’t start with a blank sheet. Always copy from someone and build from there (that’s what I did!) — there are lots of great scripts out there. Maybe not tons, but certainly lots.

But anyway, once you get going with Tabular Editor C# scripts (now we need to specify if we are talking c# or DAX scripts) you may feel that you are repeating code, and as in any kind of programming, that’s not just a waste of time, it’s bad practice. So, today I’ll share how I’m starting to move my scripting to the next level, creating a custom DLL for Tabular Editor C# Scripts (never did that before!) and making use of intellisense by moving development (or at least the bulk of code typing) to Visual studio.

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