Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Grow your Fabric skills and prepare for the DP-600 certification exam by completing the latest Microsoft Fabric challenge.

Reply
Capstone
Resolver I
Resolver I

Best practse approach to use on prem SSAS model in deployment pipelines

I have about 10 different on prem SSAS models which I want to use to build reports and publish to service. I have Premium Gen 2 and want to use deployment pipeline and go through DEV -> TEST -> PROD. I have different environments for DEV and PROD data in my on prem environment.

 

Considering this what is the best approach to use the pipeline. If I connect live to the on prem SSAS models I cannot use parameters to define my server, database, nor can I use other features like incremental refresh etc. So do I then import the data into PBI and publish that model into service and use that dataset as the source in all my reports and move them via the pipeline ? 

 

Any help would be appreciated.

1 REPLY 1
v-xiaotang
Community Support
Community Support

Hi @Capstone 

To choose which connection mode, it needs to consider their respective advantages and disadvantages. 

Here is an article that gives a comprehensive comparison about Import mode & LC mode, for your reference,

https://radacad.com/directquery-live-connection-or-import-data-tough-decision

 

 

Best Regards,

Community Support Team _Tang

If this post helps, please consider Accept it as the solution to help the other members find it more quickly.

Helpful resources

Announcements
Europe Fabric Conference

Europe’s largest Microsoft Fabric Community Conference

Join the community in Stockholm for expert Microsoft Fabric learning including a very exciting keynote from Arun Ulag, Corporate Vice President, Azure Data.

Power BI Carousel June 2024

Power BI Monthly Update - June 2024

Check out the June 2024 Power BI update to learn about new features.

RTI Forums Carousel3

New forum boards available in Real-Time Intelligence.

Ask questions in Eventhouse and KQL, Eventstream, and Reflex.

Top Solution Authors