DMVs (Dynamic Management Views) are, as the Analysis Services documentation states, “queries that return information about model objects, server operations, and server health”. They’re also available in Azure Analysis Service, Power BI and Power Pivot and are useful for a variety of reasons, for example for generating documentation.
One of the most popular blog posts I have written in recent years is this post on how the RelativePath and Query options for the Web.Contents() M function can be used to allow datasets that use web services as data sources to refresh successfully in the Power BI Service. It’s very frustrating when you write some complex M code in Power BI Desktop and find that your dataset can’t be refreshed after it has been published!
I’m one of those people who can’t resist peeking behind the scenes, and so when the Key Influencers visual appeared in Power BI I couldn’t help wondering how it worked its machine learning magic. Using DAX Studio to look at the DAX queries generated by the visual proved to be very revealing: it turns out that it uses a number of new DAX functions that are undocumented and probably not meant to be used outside Microsoft.
You want to validate an intuition in Power BI but you are not a data scientist? Then don’t worry as we have now AutoML.
Santosh Chandwani, Principal PM is excited to announce the preview of Automated Machine Learning (AutoML) for Dataflows in Power BI.AutoML enables business analysts to build machine learning models with clicks, not code, using just their Power BI skills.
One of the things I like about my live, online training courses is that I get to hear great questions from the trenches from people learning DAX and Power BI. Last week, John asked me how to apply conditional formatting with a Text field (not a numeric field). I knew it could be done, but it required some brief research before I could give an answer
SQLBits is one of the best Microsoft data platform conferences around, and last week’s event in Manchester was particularly good. As usual, videos of almost all of the sessions are available for everyone to view for free online (no registration required) here: