This is the first in a series of weekly digest posts to share what we’ve been reading about Power BI from around the internet. Topics this week include SQL Server Reporting, Admin Roles, Advanced Analytics, and DAX Studio.
We are pleased to announce the public preview of Microsoft Azure Analysis Services, the latest addition to our data platform in the cloud. Based on the proven analytics engine in Azure Analysis Services, SQL Server Analysis Services, Azure Analysis Services is an enterprise grade OLAP engine and BI modeling platform, offered as a fully managed …
We’re excited to announce that we’re making available a Technical Preview of Power BI reports in SQL Server Reporting Services. We plan to release the preview on Thursday along with some more info, but in the meantime, here are a couple of key things to know …
Do you need to have administrators of your Power BI service that are not Office 365 global admins? Microsoft has just announced the new Power BI Service Administrator Role. This role is not yet visible in the Office Admin Portal, but you can use PowerShell to add users in your organization to this new role today.
Today we are announcing the support for R visuals in Power BI Embedded. R visuals not only enhance Power BI Embedded with advanced analytics depth but also offers developers endless visualization flexibility. Check out our demo to see how the technology works!
DAX Studio is a fabulous free tool that allows you to directly query your Power Pivot/Power BI data models. It is not immediately obvious (particularly to beginners) exactly how using DAX Studio can add value. I often refer people on various forums to use DAX Studio but then lack a suitable reference to refer them to so they can get started. This blog post today is a simple reference to help anyone that uses Power Pivot get started with DAX Studio.
A common problem among many professions is the inability of expert practitioners to communicate with their clients. Attorneys are often guilty of speaking legalese to the folks that they represent, unaware that it is unfamiliar to them. Medical doctors sometimes struggle in the same way, even though their effectiveness relies on their ability to communicate clearly with their patients. Statisticians struggle with this problem more than most.