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«February 2016»

Power BI Publish to Web for Anonymous Access is Here

Earlier this week on Wednesday the Microsoft Power BI made an incredibly exciting announcement and released Power BI “publish to web” as a preview feature. This is HUUUUGE news! This was probably the top requested feature and its finally here thanks to the hard work and dedication of the Microsoft Power BI team!

Read Getting Started with R Visuals in Power BI

Power BI “publish to web” allows you to easily expose a Power BI report to the world through an iframe that can be embedded wherever you like.

To publish your Power BI report to the web, log into your Power BI site.

Find the report that you want to share and click File in the top left.
Power BI publish to web

You’ll see a message pop up box similar to below. Click the yellow button to create the embed code.
Power BI publish to web preview

This is where you’ll see a very important warning!
WARNING: Reports that you expose through the “publish to web” feature will be visible to everyone on the internet! This means NO AUTHENTICATION is required to view the report that is embedded in your application.
warning 2

Once you do that, you’ll receive an embed code that you can then use to expose your Power BI report within your blog as seen below!

As you can see the report maintains all the interactivity features of Power BI. And as your Power BI report updates and changes, those changes will be reflected in your embedded Power BI reports!

Pretty awesome!

Additional Resources

Read the Power BI “publish to web” announcement here.

Read the Power BI “publish to web” documentation here.


Let me know what you think of this feature or if you have any questions. Leave a comment down below.

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Non Empty vs NonEmpty

Hey everyone, in this blog I want to address a very common MDX Question. What is the difference between the NON EMPTY keyword and NONEMPTY function? To take it a step further which one should you use?

Non Empty keyword VS NONEMPTY Function.

The big difference between the NON EMPTY keyword and the NONEMPTY function is when the evaluation occurs in the MDX. The NON EMPTY keyword is the last thing that is evaluated, in other words after all axes have been evaluated then the NON EMPTY keyword is executed to remove any empty space from the final result set. The NONEMPTY function is evaluated when the specific axis is evaluated.

Should I use NON EMPTY keyword or NONEMPTY function?

Ok Mitchell, so you told me when each of these are evaluated but really you haven’t told me anything up until this point. Can you tell me which one I should use already? Well, unfortunately, it depends. Let’s walk through an example of each using the BOTTOMCOUNT function.


In this example I’m returning the bottom ten selling products for internet sales. Notice that I have returned all products that have no internet sales, this is not necessarily a bad thing, maybe you want to return products that don’t have sales.


However if you don’t want to return these products then we can try using the NON EMPTY keyword. In the below example you can see the results when I add NON EMPTY to the ROWS axis.


WHOOOAAA, what happened?? A lot of people would have expected the results here to show the bottom ten products that DID have sales. However, that is not the case, remember that I said the NON EMPTY keyword is evaluated LAST after all axes have been evaluated. This means that first the bottom ten selling products which have $0 in sales are first returned and then the NON EMPTY keyword removes all that empty space from the final result.

BOTTOMCOUNT function with NONEMPTY function.

So let’s try this again, if you want to return the bottom ten products that had sales then we must first remove the empty space before using the BottomCount function. Take a look at the code below:


In this code we first remove the empty space before using the BOTTOMCOUNT function. The result is we return the bottom ten products that had internet sales. Once again neither one is right or wrong here it just depends on what you want in your final result.

NON EMPTY Keyword vs. NONEMPTY Function – Performance

There is a very common misconception that the NONEM

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PowerPivot - Measure Grid

  • 20 July 2011
  • Author: DevinKnight
  • Number of views: 118317

There are a lot of fantastic new features in the latest CTP 3 release of PowerPivot, which you can download here.  This is a huge change for PowerPivot and really shows how the product is maturing into become a tool that can solve a variety of problems that it could not handle in its initial release last year.  You can read up on all the change that in the latest release of PowerPivot here, but I thought I would write a series of blogs detailing each individually.

In this post I’d like to introduce you to the new Measure Grid object.  The Measure Grid provides you a new way for creating Calculated Measures for your PowerPivot reports.  Previously, anytime you wanted to create a Calculated Measure you had to be in the PivotTable Field List inside of Excel.  You would right-click on the table that you wanted the measure and write the DAX formula to create the calculation.  While this method is still available (and even has a few improvements of its own) today I want to focus on the new method for creating Calculated Measures. 

The Measure Grid is different in that you will find it back in the PowerPivot window instead of your Excel PivotTable Field List.  To access it you simply click the Measure Grid icon in the Home ribbon.

This will open the grid where you can begin to write your measure formula.  The DAX statement written here is exactly the same as it was done previously but you provide the measure name in front of the formula like so:


This will add the unformatted results of your formula into the Measure Grid within a single cell.  To fix things like formatting you simply right click in the Measure Grid and apply the appropriate formatting after clicking Format.  You can also delete the measure or provide a description of the measures intent for other users.

As you can see the Measure Grid can also create KPIs but I’ll save that for another blog because it will require a much lengthier description.  While this new PowerPivot may seem like a minimal change I think it’s a great change because it allows the developer of the PowerPivot model to segment out his/her thinking.  The PowerPivot window can now be used for all modeling and calculations and Excel can be just for building reports.  Like I said this does not prevent you from still creating measures in Excel as well like you would have done previously in PowerPivot.


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