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Nazdac911
Helper II
Helper II

Changing my workspace and dataflow name

Hi all 

I build a power BI solution  where I am getting data from a dataflow , 

its a lot of work and tables and relations 

now I need to change the name of the dataflow , is this going to destroy my whole datamodel , if yes , how can I overcome that ! 

 

Thanks in adavcne 

Regards 

1 ACCEPTED SOLUTION
v-tangjie-msft
Community Support
Community Support

Hi @Nazdac911 ,

 

When you connect to a Dataflow from Power BI desktop, the connection utilises the Dataflow’s unique ID not name. So changing the name of a dataflow does not affect the data model.

 

For workspace and dataflow names, you can parameterize them for easy management.

You can refer to the following documents that may be helpful to you:

Pimp the dataflows connector in Power BI – Data – Marc (data-marc.com)

parameters-dataflows-power-bi-service-power-query-powerbi (p3adaptive.com)

 

Refer to this post, please note that an error may occur if you want to change the column name of a dataflow.

 

Best Regards,

Neeko Tang

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

View solution in original post

1 REPLY 1
v-tangjie-msft
Community Support
Community Support

Hi @Nazdac911 ,

 

When you connect to a Dataflow from Power BI desktop, the connection utilises the Dataflow’s unique ID not name. So changing the name of a dataflow does not affect the data model.

 

For workspace and dataflow names, you can parameterize them for easy management.

You can refer to the following documents that may be helpful to you:

Pimp the dataflows connector in Power BI – Data – Marc (data-marc.com)

parameters-dataflows-power-bi-service-power-query-powerbi (p3adaptive.com)

 

Refer to this post, please note that an error may occur if you want to change the column name of a dataflow.

 

Best Regards,

Neeko Tang

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

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