Category: DAX

Configuring “all” access with dynamic row-level security

Row level security

Row-level security is an important part of many data models. In this article, I am showing a way to selectively grant “all” access with dynamic row-level security and only one role. For example, we can let a CEO see the whole data model, but a department head will be able to see their department’s data only. This article presents a more flexible approach in cases where using an organizational hierarchy and PATHCONTAINS would be inappropriate. Continue reading “Configuring “all” access with dynamic row-level security”

Linear regression in DAX

Random data points and a simple linear regression line

DAX, originating in Power Pivot, shares many functions with Excel. As of 2017, some of the functions, such as SLOPE and INTERCEPT, exist in the latter but not in the former. The two functions can be used for a simple linear regression analysis, and in this article I am sharing patterns to easily replicate them in DAX. But first, why would you want to do such analysis? Continue reading “Linear regression in DAX”

Pearson correlation coefficient in DAX

If you had tried calculating the Pearson correlation coefficient (PCC) in DAX, you would have likely read Gerhard Brueckl’s excellent blog post. If you haven’t, I encourage you to read it, as it contains a high-level overview of what PCC is. In this article I am showing how the same calculation can be done more efficiently using the new DAX functions, which are available starting with Power Pivot in Excel 2016, Power BI Desktop, SQL Server 2016 Analysis Services, and Azure Analysis Services. Continue reading “Pearson correlation coefficient in DAX”