Most of the focus on Power BI dataflows so far has been on the use of Power Query Online to load data from external data sources. However, when you create a dataflow you also have the option to attach an existing Common Data Model (CDM) folder stored in Azure Data Lake Storage Gen2:
Today Gartner released the 2019 magic quadrant for Business Intelligence. As expected (by me at least), Microsoft is continuing its trail blazing and now has a clear lead over Tableau in both ability to execute and completeness of vision. I thought it would be interesting to see a trend over time for the last 5 years, as this is the time period that I have been a professional Power BI Consultant. I needed some way to extract the numerical data points from the images I had collected. This article shows you how to do that. Here is the final output – a scatter chart with a play axis in Power BI of course.
I have already blogged in great detail many times about Power BI/Power Query data privacy settings (see this series for example) but there’s always something new to learn. Recently I was asked a question by Ian Eckert about how Power BI handles data privacy for cloud or web-based data sources after a dataset has been published, and it prompted yet more revelations…
I have known for a long time that data privacy checks can have an impact on the performance of data refresh in Power BI and Excel, but on a recent performance tuning engagement I had the chance to observe just how much of a difference changing these settings can make
Recently I’ve been doing some more investigations into how data privacy settings work in Power BI. This is a subject I’ve blogged about in great detail already in a series of posts last year, but this functionality is so complex that there is always more to learn. I don’t have any profound new insights to offer; instead this blog post is a write up of a series of experiments whose results shed light onto how the process of setting data privacy levels works end-to-end.
There’s a new, as yet undocumented, option for the Web.Contents() M function that is only available for custom data connectors and not in Power BI Desktop: CredentialQueryOption. It does the same thing as the Query option, but it stops the values you are passing to the query parameter from being logged in Power BI’s diagnostic logs, so it’s useful if you are passing sensitive information such as passwords.
Today Microsoft released the October 2018 update of Power BI Desktop. One of the fabulous new features that has been released is the ability to get a visual profile of your data in Power Query BEFORE you load the data. This new feature is typical of the type of development effort Microsoft is investing in with its products. MS is trying to make your life easier by helping you with the tools you need to do the job without you having to do everything yourself from scratch.