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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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Limiting Table Access for Reporting Part 1

  • 28 July 2010
  • Author: briankmcdonald
  • Number of views: 3052

End users may have a need to do some form of reporting of data from source systems. Opening up the database tables to end users normally isn’t the best practice, but different situations often require different implementations right? In this blog series, I am going to show you one method of limiting access to the tables containing your data, while also providing the needed data for your’ end users.


For part 1 of this two part series, I am going to show you how you can create a schema that will be used to add your objects to (in my case Views). Next I’ll show you how you can add a view to the schema. Before getting started into this series, let’s make sure we’re all set up to follow along. I will be using the AdventureWorks database. If you already have it, great! If not, you can find it on Next, you will need to be able to alter objects in the AdventureWorks database. If it is your local test box (which most of the time it will be), then you should be all set! J


Let’s fire up SQL Server Management Studio (SSMS) and open a new query. In this first step, we are going to create a schema that will be used to assign our views to. This will make it easier to manager what objects your “reporting” users will be accessing.


Script 1: Create Schema

USE AdventureWorks





Next, let’s create a sample view that can be used to limit columns that the report user can access. Be sure to add it to the Reporting schema that we just created. If you are new to views, basically a view is a database object which allows you to use it as you would a table. They are very useful when you need to join multiple tables together, filter results or limit the ability to see columns in base tables. Script 2 below retrieves a limited amount of columns from the Employee and Contact tables.


Script 2: Create a View

CREATE VIEW Reporting.vw_Employee




      , [C].[FirstName] + ' ' + [C].[LastName] AS EmployeeName

      , [E1].[Title]

      , [E1].[HireDate]


      [AdventureWorks].[HumanResources].[Employee] E1

      JOIN [AdventureWorks].[Person].[Contact] C ON E1.ContactID = C.ContactID



Now let’s make sure that we are getting results as shown in figure 1 below.


Figure 1: Select From Your New View

Select from view


I think we have a good base on creating schemas and adding views to them. In my next blog, I will show you how to create a new SQL Server login and grant access only to the views under the Reporting schema.


Until next time, “keep your ear to the grindstone” – Good Will Hunting




Brian K. McDonald, MCDBA, MCSD
Business Intelligence Consultant – Pragmatic Works Consulting

Email: | Blog: BI Developer Network

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