DAX Measure Dependencies in SSAS Tabular and Power BI

DAX measures are the heart of every SSAS Tabular model, Power BI and Power Pivot solution. You write lots of DAX measures and you potentially reference some of them in other measures. So the number of DAX measures you write and reference them via other measures grow very quickly. Especially in complex solutions you may have hundreds of DAX measures. While your solution works perfectly, to make a minor change or adding a new measure to the solution or fixing a problem in your existing measures can be such a pain in the neck. In this post I’m going to take a step further and show you a simple way to get the whole data model dependencies then visualise the dependencies in Power BI. You can find the download link at the end of this post.

A simple search in Google brings you a bunch of useful articles talking about the subject. Some of the bests, in my mind, are as below:

In this post I use a DMV that gives us everything we want. ( Chris Webb already discussed the DMV here: Document Dependencies Between DAX Calculations). Running the DMV we can see what measures are references by other measures, what columns are referenced in the calculated columns and much more.

This is a very useful DMV that helps us getting a better understanding of the model we’re working on. We can also use this method for documentation.

How It Works

This method is fairly simple, you just need to run the following DMV on top of your SSAS Tabular model or your Power BI Desktop file and Import the results in Power BI.

SELECT * FROM $System.DISCOVER_CALC_DEPENDENCY

For Power BI you’ll need to find the local port number then you’re good to go. The only part that might not look very straightforward at first, would be finding the database in Power BI Desktop model.

An easy way, after you find the local port number of an opened Power BI Desktop file, is to find the database name from SQL Server Management Studio (SSMS) when connecting to the Power BI Desktop model:

  • Open SSMS
  • Select “Analysis Services” as “Server Type”
  • Type in “localhost:PORT_NUMBER” as “Server Name” then click “Connect”

Connect to Power BI Desktop Model from SSMS

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Analyse Your WordPress Website Stats in Power BI

Analyse WordPress Website in Power BI

WordPress is one of the most popular open source website making tools which is vastly used by many bloggers including myself. WordPress developers provide tons of custom plugins to fulfill different needs. But not all of the plugins are well designed and secured.  One of the most interesting information anyone who owns a website/blog needs is their website statistics. In this post I explain how to analyse your WordPress website stats in Power BI. Before I start, I want to point out that there is a WordPress stat already available in WordPress Admin Dashboard which provides very informative information about your blog like Total Views, Today Views, Best Ever Views and so forth. You can also install the WordPress app on your mobile device to easily access your website stats. But, the stats WordPress gives me in not enough. I want more. I need more detailed analysis on

  • Current Month vs. Last Month
  • Current Year Vs. Last Year
  • Most Popular Day of Week
  • Most Popular Month of Year
  • Top 10 Posts

and so on.

As non of the above analysis are available in the normal stats , I decided to build my own version of “WordPress Website Stats Analysis in Power BI”. This gives me the flexibility of creating as much analysis as I need , and… it is so much fun.

If you own a WordPress blog or any other sort of websites or if you’re just curious to learn how to use a website API in Power BI, then this post is for you.

I managed to create a Power BI Desktop template that you can download and use it for free. You’re welcome to modify it based on your needs. You can find the download link at the button of the page.

How It Works

To be able to analyse your WordPress stats in Power BI you need to own a WordPress blog or website. Then a WordPress API key is assigned to your account. The key was included in your WordPress Welcome Email. You can use that API key in Power BI Desktop to create your customised reports and analyse your blog/website stats then you can publish the model into Power BI Service that is accessible anytime anywhere. You can also create your own dashboard in Power BI Service.  Moreover, you can setup Schedule Refresh for the dataset to refresh your dashboards and reports automatically.

Requirements

You’ll need to

  • own a WordPress blog/website and have the API assigned to your account
  • install Jetpack plugin in your blog/website as WordPress stats is no longer maintained and you should not use it. Instead, you can install Jetpack plugin
  • have Power BI Desktop installed on your machine (Download it from here, it’s free!)

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