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Power BI provides most of the transformations like changing type, rename, duplicate , merge etc . in which scenarios or use cases we need M language transformations?
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Hi @powerbiexpert22 ,
M language becomes essential in these key scenarios:
Complex Conditional Logic:
Custom Functions:
API Integrations:
Performance Optimization:
Dynamic Operations:
Advanced Text/Date Operations:
Bottom line: Use M when UI becomes too cumbersome or when you need reusable, dynamic logic.
Best regards,
Jainesh Poojara | Power BI Developer
M Language Transformations enable efficient data shaping and manipulation within Power Query.
Hi @powerbiexpert22,
Thank you for Connecting with Microsoft Fabric Community Forum.
I wanted to check if you had the opportunity to review the information provided by @danextian , @jaineshp , @MattAllington. Please feel free to contact us if you have any further questions.
Thank you.
The UI creates an M code with every applied step so mostly anything* that the UI can't do M becomes very useful. Examles:
*Mostly anything because although some transformations are theoritically possible, they be computationally expensive and better off done at the source.
Hi @powerbiexpert22 ,
M language becomes essential in these key scenarios:
Complex Conditional Logic:
Custom Functions:
API Integrations:
Performance Optimization:
Dynamic Operations:
Advanced Text/Date Operations:
Bottom line: Use M when UI becomes too cumbersome or when you need reusable, dynamic logic.
Best regards,
Jainesh Poojara | Power BI Developer
I assume you mean "the UI" provides most transformations, so why do we need to write M code manually.
Fair question. The short answer is the UI writes the M code for you for most common things, but not everything. The objective is to make the tool usable via the UI, but also make it extensible by having a solid, powerful programming language under the hood. I think MS has done a great job doing this.
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