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.
I’m using Docker quite regularly (well, if you find “pulling an image twice a day” is regular) .. and I have been using mostly these two repositories according my needs (for more info, look here):
“bcinsider.azurecr.io/bcsandbox-master” for the very latest version (the future release)
“microsoft/bcsandbox” for the current release
It’s very common that you need to combine data from multiple worksheets in the same Excel workbook when you’re using Power BI or Power Query/Get&Transform in Excel. Indeed a lot of people have blogged about how to solve this problem, but none of the solutions I’ve found on the internet work in more complex scenarios when the data on each sheet needs some kind of transformation before it can be combined.
Ivan: I recently moved to Australia with my family. While searching for a place to live I had to look for a good pair of suburb and school. I found interesting data at https://www.myschool.edu.au/. However, there is no option to compare schools. It just gives some statistics about Australian schools, one page at a time. The information presented on a typical school profile page (e.g. Burwood Public School) is as shown below.
In many Microsoft Dynamics NAV implementations we have situations where the NAV database is often “coupled” with a second database for business intelligence processing or other data manipulations/analysis. Often we use this scenario for handling Power BI data warehouses in the cloud (Azure SQL) that work by using data that comes from NAV, external sources, IoT devices and so on.