An M Function To Help You Explore Power Query Diagnostics Data

Last week’s post showed an M function that took Power Query diagnostics data and formatted in a way that made it suitable for visualisation in a Power BI Decomposition Tree visual. This is great for understanding what’s going on at a high level, but by doing this you also lose a lot of detailed information from the diagnostics logs that could be useful for performance tuning.

Source : Chris Webb’s BI Blog
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Visualising Power Query Diagnostics Data In A Power BI Decomposition Tree

Recently I’ve been working with the Power Query team to come up with some ways to help developers understand the data returned by the new Power Query diagnostics functionality. In this, the first of two posts, I’m going to share a Power Query function that reformats diagnostics data in a way that makes it easy to visualise using the Power BI Decomposition Tree visual.

Source : Chris Webb’s BI Blog
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Having Demo Data while developing Business Central Apps with Docker

I have always preached that you shouldn’t try to keep your Docker containers running. Containers should be something, which easily can be dismissed and recreated for any developer. One of the frequent questions is then: But what about my demo/development data?

Source : Freddys blog
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Sharing Data Between Organisations With Azure Data Share

If you’ve ever built a BI solution it’s likely you will have had to integrate third party data, and if that’s the case you will know how painful it often is to get your hands on that data. Badly designed portals you have to log into every week to download the data, CSV files emailed to you, APIs with complex authentication – it’s usually an unreliable, slow and manual process.

Source : Chris Webb’s BI Blog
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How to get Insights from your Business Central App Data, using Python Azure Functions

Some weeks ago, I had a challenge. I develop my own app to be published on the AppSource. As I always talk about “add some smartness into your apps”, it was strange not to include “some smartness” into my app. Right?

But the smartness is not always a synonym of machine learning. And not everything could (and need to be) done with ML. If you want to get and show some insights from your data, and you know how to get them – you are free to follow the classic dev approach.

Source : Dmitry Katson
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