This information has been around the blogosphere for a while but I keep forgetting how to find it; I decided to write about it on my blog so that I can easily find it next time I need it. The existing functionality of the Power BI Connector for SAP BW only exposes text values of
Category: Power Query
It is very unfortunate that at the time when there is such a flood of good and exciting news coming out from the Power BI dev team my workload made it almost impossible to post on this site. However, a recent update from the Power BI support site made me literally drop everything and write
I am sure it is only a matter of days (hours ?) before Power Query is updated with the Google Analytics connector as well, but I find it very interesting that new Power Query features are now first released in Power BI Designer. I had speculated earlier that Microsoft would/should focus on Designer as the
Click here to download the data file for this tutorial. We are not always lucky to have our data neatly laid out in rows and columns. Sometimes, our data come in as a formatted report and we need to find a way to massage the data before it can be loaded into a data model.
This tutorial is based on one of the earlier tutorials – How to Create a Star Schema Model. I strongly recommend that you go through it first to become comfortable with using Power Query to create facts and dimensions for your Star schema before we start working on ID generation. The data set that we’ll
Understandably, I was very excited to find Analysis Services as a supported Power Query data source as of November update of the product (those familiar with the Business Objects connector will find the interface to be very familiar). I am running SQL Server 2014 on my machine and have the corresponding version of the ADOMD.NET
In its recent post announcing November release of Power Query, Microsoft is also asking us to take a Power Query survey. I have lobbied for a long time to have SAP BW added to the supported PQ data sources. The reasoning is simple, almost half large companies in US run SAP and a good percentage
Click Here to download this Tutorial file Very often our analysis starts with a flat data set that contains all of the pertinent columns in a single table that looks like the one above. As we can see, we can analyze this data using three different lenses or dimensions: Product Geography Date Unfortunately, if we
