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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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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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Upgrading Packages to SSIS 2012

  • 31 May 2012
  • Author: DevinKnight
  • Number of views: 8196
  • 0 Comments

Many of you may now or in the future have the need to upgrade your SSIS packages to the new SQL Server 2012 SSIS.  Luckily, upgrading from SSIS 2005 or 2008 isn’t nearly as painful as you may have experienced upgrading old DTS (SQL Server 2000) packages.  If you’re considering the upgrade to 2012 here are some of the new features you have to look forward to:

  • Usability fixes in the development environment (Resolve References, Undo, Zoom, etc…)
  • New/Changed Tasks and Transforms (CDC Control Task, Execute Package Tasks, DQS Cleansing, etc..)
  • Project Deployment Model and Integration Catalog
  • New native Logging and Execution Reports

There is far more than I could list here but you can do a search for “What’s new in SSIS 2012” just as easily as I can Smile.

The upgrade process from 2005 or 2008 to SSIS 2012 is actually very straight forward.  There are a few things to note that are not upgraded automatically through the native upgrade steps.  The following are not upgraded and may need extra attention:

  • Deployment model stays as a Package Deployment unless you do another conversion tool.
  • Configurations are not upgrades.  For example, a configuration file may reference an old driver that is not longer used in 2012 so you would have to manually upgrade these.
  • Execute Package changes are not upgraded

To get started open your old SSIS solution in SQL Server Data Tools (new name for BIDS), which will automatically launch a conversion wizard.  This conversion wizard actually does two conversions.  The first conversion is more of a Visual Studio upgrade and the second specific to SSIS.  The screenshot below shows the start of the VS upgrade, click Next past the welcome screen.

image

The Visual Studio conversion will ask if you would like to back up the original files.  I generally go ahead and create a backup just incase, then click Next.

image

Prior to starting the SSIS Conversion tool you’ll get a warning to ensure the SSIS project is coming from a trusted source so you don’t risk a security threat.  Keep in mind the Visual Studio wizard stays open in the background.

image

Click Next past the welcome screen of the SSIS upgrade wizard.

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Select the packages you wish to upgrade and ensure to provide any package passwords then click Next.  These passwords came from the ProtectionLevel setting of the original packages.

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There are few settings you can manipulate prior the the upgrade that are pretty straight forward.  Shown below are the default settings and I will mention that even though connection string provider names are upgraded it will not upgrade them in configurations.  So if a configuration overrides a connection it will still have the old provider.  Click Next.

image

Review the actions that will be taken by the wizard then click Finish.

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A successful conversion should look similar to the below image.  Hit Close, which will end the SSIS upgrade wizard and return you back to the final step of the Visual Studio upgrade.

image

You are returned to the Visual Studio upgrade where you simply need to hit Close to complete the upgrade.

image

Your packages will now be upgrade and should run without problem.  As mentioned before you may still want to upgrade things like the package deployment model, configurations, and execute package tasks.

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