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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!

https://msit.powerbi.com/view?r=eyJrIjoiYTNjNzcwNjctNTczMy00ZDMxLWFlMGUtMDViODA1NGZiNmI0IiwidCI6IjcyZjk4OGJmLTg2ZjEtNDFhZi05MWFiLTJkN2NkMDExZGI0NyIsImMiOjV9

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.

Feedback

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


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8

MDX NON EMPTY KEYWORD VS NONEMPTY FUNCTION

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.

BOTTOMCOUNT FUNCTION with NON EMPTY Keyword

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.

image

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.

image

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:

image

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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An other Example of Calculation-Dimension

  • 30 August 2010
  • Author: Qazafi Anjum Syed
  • Number of views: 21172
  • 0 Comments

Recently one of my clients would like to see their Revenue figures represented some of the time as a positive (+VE) value and some time as a negative (-VE) value. They would like to have the ability to select between the two at run time in the Analyses Services Cube. The users are using Excel 2007 as the client tool for reporting. They do not want to change the figures inside the source database but would instead like to apply a mask at runtime. There are some specific post codes which are dedicated to Revenue; this enables revenue transactions to be indentified

CREATING THE DIMENSION
In order to achieve this I have created a dummy dimension, similar to a ‘time utility dimension' (also known as a ‘date tool' dimension or a ‘shell' dimension. I had advice from Chris Webb regarding this, he also referred me the book ‘Expert Cube Development with SQL Server Analysis Services 2008') and then add a calculated member to it with two values.

We do not need to create a table in our Data warehouse for this purpose; we can create a view some thing like this

CREATE VIEW RevenueAsPositive AS
SELECT 0 AS ID, 'Convert Revenue to Positive' AS Description
UNION ALL
SELECT 1 AS ID, 'Stay Revenue as Negative' AS Description
Now we need to add this view inside our DSV and create a dimension based on this view
Alternatively we can create some thing like this inside our DSV

 

 

 

So this dimension has two values

1. Convert Revenue to Positive --> 0
2. Stay Revenue as Negative --> 1

 

CONFIGURING THE DIMENSION

After creating this dimension now you need to set the properties of the attribute hierarchy

  • Set "DefaultMember" to ‘Stay Revenue as Negative', as below:

 

•Set the “IsAggregatable” property to “False”, so there’s no All Member on the attribute hierarchy, as below:

 

In the following picture you can see all the revenue figures are negative, which is the default behavior we have defined inside the Analyses Services Cube

 

 

If now the user would like to convert the revenue figures to display as positive, they need to set the report filter to Convert Revenue to Positive as shown in the following figure:

In order to achieve this functionality you need to use a scoped assignment using MDX that's something like this:

When the user chooses "Convert Revenue to Positive" than I multiplied all actual measure values by -1, using this MDX:

SCOPE([Convert Revenue To Positive].[Convert Revenue To Positive].&[0],descendants([Dimension POST CODE].[Post Code Structure].[PC Level 2].&[IREV],[Dimension POST CODE].[Post Code Structure].[Post Code],self_and_before),[Measures].[YTD Actuals]
);
This =(([Dimension POST CODE].[Post Code Structure].currentmember)*(-1));
END SCOPE;

SCOPE([Convert Revenue To Positive].[Convert Revenue To Positive].&[0],descendants([Dimension POST CODE].[Post Code Structure].[PC Level 2].&[EREV],[Dimension POST CODE].[Post Code Structure].[Post Code],self_and_before),[Measures].[YTD Actuals]
);
This =(([Dimension POST CODE].[Post Code Structure].currentmember)*(-1));
END SCOPE;

Notice that the "Profit and Loss" values do not change even though the Revenue values have changed to positive. This is achieved through the following SCOPE statement:

SCOPE([Convert Revenue To Positive].[Convert Revenue To Positive].&[0],[Dimension POST CODE].[Post Code Structure].[PC Level 1].&[PL],[Measures].[YTD Actuals]
);
This =(([Dimension POST CODE].[Post Code Structure].&[EEXP])+[Dimension POST CODE].[Post Code Structure].&[IEXP]-[Dimension POST CODE].[Post Code Structure].&[IREV]-[Dimension POST CODE].[Post Code Structure].&[EREV]);
END SCOPE;

Hopefully this will help you if you are trying to build some similar functionality.

Finally, I would like to acknowledge and thank Chris Webb for his suggestions and support, thank you Chris.

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