technically strong

[powerbiexpert22]

what is the definition of technical strong (or how do we measure) in a skill like power bi ?

[v-aatheeque]

Hi @powerbiexpert22 

Just following up on your question about what it means to be technically strong in Power BI.

As mentioned earlier by @FBergamaschi @wardy912 @MasonMA , Power BI covers a wide range of capabilities, so technical strength often depends on how well you’ve developed skills in specific areas. Typically, this includes:

• DAX for calculations and business logic

• Power Query (M language) for data transformation

• Data modeling for building efficient relationships

• Report design for effective visual communication

• Cloud service usage for sharing, security, and integration

You don’t need to be an expert in all areas focusing on a few and building depth is usually the best way to grow your technical expertise.
 let me know if you need any further clarification or assistance we’re happy to help!

[v-aatheeque]

Hi @powerbiexpert22 

Just following up on your question about what it means to be technically strong in Power BI.

As highlighted earlier by @MasonMA @wardy912 @FBergamaschi  Power BI multiple skill areas, and being technically strong often means having solid capabilities in key domains such as:

• Writing DAX for calculations and business rules

• Using Power Query (M) for transforming data

• Designing efficient data models

• Creating clear and impactful reports

• Leveraging the Power BI Service for sharing, security, and integration

You don’t have to master everything at once developing deep expertise in a few of these areas is a great way to build strong technical skills over time.

Feel free to reach out if you need more details or support!

[v-aatheeque]

Hi @powerbiexpert22 

Just following up on your earlier question regarding what defines being technically strong in Power BI.

As shared by our @wardy912 @FBergamaschi , Power BI is a broad platform, and expertise is often built around specific core areas such as:

• DAX

• Power Query / M

• Data Modeling

• Report Design

• Cloud Management & Deployment

The guidance provided helps outline how technical strength can be assessed depending on focus areas rather than trying to master everything at once.

 If you’re looking for a deeper breakdown, certification-based paths, or skill benchmarking tips, feel free to let us know  we’re happy to assist further.

If we don’t hear back, we may close this thread in line with our community guidelines, but you’re always welcome to post a new query anytime.
Thank you for being part of the Microsoft Fabric Community!
looking forward to your response!

[MasonMA]

in a world enhanced by AI, technical strength might mean, 

knowing what to ask for and how to verify what AI gives you

understanding why a solution works, not just that it works

being able to adapt, debug, and go beyond templates

designing data systems and user experiences, not just building reports

[wardy912]

Hi @powerbiexpert22 

 I don't think there's a specific metric to say when someone is technically strong, but there's a couple of factors that will differentiate between a beginner and a pro, at least in my opinion.

Can you clearly tell a story through data in power BI that all stakeholders can understand and take action on?

Can you debug performance issues and optimize your models?

Hope this helps!

[FBergamaschi · Accepted solution]

Power BI is a very large environment so it is difficult to give a perfect answer

Nobody know everyting about Power BI, so you will focus (become strong) on one or more of the following

DAX

Power Query & M

Data Modeling

Report creation

Cloud Management

Best 

FB

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Francesco Bergamaschi

MBA, M.Eng, M.Econ, Professor of BI