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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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Processing a Measure Groups Index Using SSMS

  • 1 December 2010
  • Author: briankmcdonald
  • Number of views: 5423
  • 0 Comments

 

As I had mentioned in a previous blog (Creating and processing an Analysis Services partition), instead of processing an entire partition, you can process just the indexes. Processing measure group indexes will improve performance of your cubes! In this blog, I am going to walk you through processing the index of a sample cube built using the AdventureWorksDW2008R2 database.

 

Step 1: Connect up to your Analysis Services using SSMS

So, let’s fire up SQL Server Management Studio and bet started. When the Connect to Server dialog box comes up, be sure to choose Analysis Services as the Server type and enter the name of the analysis services server, as shown below.

Connect To SSAS Brian K McDonald 

 

Step 2: Drill down into your Measure Group

Using the Object Explorer, drill down into a measure group as shown below. Again, in my example, I am using a sample cube that I built. Notice that I have an Internet Sales measure group and a Reseller Sales measure group.

Navigate to Measure Group - Brian K McDonald

 

Step 3: Process Measure Group Submenu Option

 Right Click on the Measure Group and choose Process as shown in the sub menu below. In this example, I have chosen to reprocess my Internet Sales measure group.

Process the Measure Group Option - Brian K McDonald 

 

Step 4: Change Processing Options to “Process Index”

The default processing option is “Process Full”. Update the Process Options by selecting the down arrow and then choosing “Process Index” as depicted in my screenshot with a red square and yellow highlight.

Change Processing Option - Brian K McDonald

Now all that you need to do is just click OK and analyis services will begin processing the index. If all goes well, you should see something similar to below. Note that this could take a while if the index is large, so please do not test this out for the first time on your production server. J

Process Succeeded - Brian K McDonald 

 

I hope that you have enjoyed this post. If you did, please take just a moment to rate it below! Also, if you don’t already, please be sure to follow me on twitter at @briankmcdonald. Also note that you can subscribe to an RSS feed of my blogs or find me at any of the below methods.

 

 

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

Email: bmcdonald@pragmaticworks.com

Blogs: SQLBIGeek | SQLServerCentral | BIDN | SQLServerPedia

Twitter: @briankmcdonald

LinkedIn: http://tinyurl.com/BrianKMcDonald

 

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