Business Intelligence Blogs

View blogs by industry experts on topics such as SSAS, SSIS, SSRS, Power BI, Performance Tuning, Azure, Big Data and much more! You can also sign up to post your own business intelligence blog.

«February 2016»
MonTueWedThuFriSatSun
25262728293031
12345

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.


Read more
67
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

Read more
91011121314
15161718192021
22232425262728
29123456

SSIS Project Connection Managers

  • 31 May 2012
  • Author: DevinKnight
  • Number of views: 7112
  • 0 Comments

With the new Project Deployment Model in SSIS developers are gaining the benefit of a new design time only feature called Project Connection Managers.  If you’ve developed in SSIS previously Connection Managers require no further detailing, but for those new this is how SSIS connections to data that’s used as a source or destination.  This new feature is visible in the Solution Explorer of SSDT (SQL Server Data Tools). 

Below you will see the traditional method (Package Deployment Model) for developing package on the left, which has a similar option called Data Sources.  Data Sources were purely a design time feature available in SSIS 2005 and 2008 to help manage connections to multiple packages.  Basically you could change a Data Source created in the Solution Explorer and the next time you opened the package that used the connection it would update the metadata.  Sounds nice but the key there is the update doesn’t occur until the next time you open it.  So if you have hundreds of packages you would have to open all of them. 

The real solution to that problem is to use configurations but I’d like to focus on the differences between the old Data Source method of doing things and the new Project Connection Manager method.

Package Deployment Model Project Deployment Model
image image

The image on the right is of the new Project Deployment Model and you quickly notice the Data Sources folder is not available.  Instead you have Connection Managers which are similar in purpose but I think accomplish the job much better than Data Sources did.  They’ve actually been made less complex if that’s possible because all you have to do as a developer is create a Project Connection Manager and then it’s automatically created in every one of your SSIS packages.  As shown below you are able to clearly tell the difference between a Project Connection Manager and a regular Connection Manager that is only scoped to a single package.

image

If you have a regular Connection Manager that you would like to make a Project Connection Manager then you simply right-click on it and select to Convert it.

image

Another nice feature of Project Connection Managers is if you make a change to one the update applies to all the packages that use it without you having to open them each.

While this is a small new feature I thought it was pretty nice and worth spending some time discussing.

Print
Tags:
Rate this article:
No rating
DevinKnight

DevinKnightDevinKnight

Other posts by DevinKnight

Please login or register to post comments.