Forum Discussion

Attiya's avatar
Attiya
New Member
7 months ago

How can a Software Engineering student use Microsoft Fabric in real projects?

Hi everyone,

 

I’m a Software Engineering student and currently learning Full Stack Development.

 

I want to understand how Microsoft Fabric can be used in real-world software engineering projects, such as dashboards, reporting, or backend systems.

 

Could you please guide me on:

- Where Microsoft Fabric fits in a full-stack application

- What skills a software engineering student should focus on

 

Thank you for your guidance.

Need Help

4 Replies

  • Ahmed-Elfeel's avatar
    Ahmed-Elfeel
    Super User
    7 months ago

    Hi Attiya,

     

    When I was part of MLSA (Microsoft Learn Student Ambassadors) I actually attended a session that talked about exactly what you are mentioning "How Microsoft Fabric fits into real projects, dashboards, and analytics" So basically you can do really too much things....Think of it like full stack application as having three layers:

    • Frontend (UI / Client side)

    • Backend (Server / API)

    • Data and Analytics Layer (this is where Microsoft Fabric shines)

      • Microsoft Fabric is a platform for data integration , storage , analytics, and reporting
      • And there is too much components you can use like

        • Data Factory and Dataflows (bring data from too many sources)

        • Data Warehouse Like Lakehouse and Synapse (store structured and unstructured data)

        • Power BI and Analytics and Dashboards (visualize and report insights)

        • Data Activator and Realtime analytics (trigger alerts or workflows based on data)

    Think of it like this image Fabric sits between your backend and the business intelligence layer....Your app backend can push or pull data from Fabric and your dashboards and reports can consume it

    So here is som examples you could do with fabric in your career:

    • As we said before you could build a web or mobile app > Fabric collects user data > Power BI dashboard shows usage stats

    • Instead of only SQL Server / Firebase / MongoDB  > You can store data in Lakehouse / Warehouse and query it using SQL

    • Microsoft Fabric can feed data to Azure OpenAI/ML models so you can build a chatbot for your app that answers using Fabric warehouse data

    I am Sure you can do more and more but thats what i have at this time ❤️☺️

    if this post helps, then I would appreciate a thumbs up and mark it as the solution to help the other members find it more quickly.
    • v-menakakota's avatar
      v-menakakota
      Community Support
      7 months ago

      Hi Attiya ,
      Thanks for reaching out to the Microsoft fabric community forum. 

       

      I would also take a moment to thank  Ahmed-Elfeel , for actively participating in the community forum and for the solutions you’ve been sharing in the community forum. Your contributions make a real difference.

      I hope the above details help you fix the issue. If you still have any questions or need more help, feel free to reach out. We’re always here to support you .

       

       

      Best Regards, 
      Community Support Team 

      • v-menakakota's avatar
        v-menakakota
        Community Support
        7 months ago

        Hi @Attiya ,

         

        I hope the above details help you fix the issue. If you still have any questions or need more help, feel free to reach out. We’re always here to support you .

         

        Best Regards, 
        Community Support Team 

  • vivien57's avatar
    vivien57
    Super User
    7 months ago

    Hello Attiya

     

    For example :

    • Backend / Data Layer: Fabric can serve as a data source or data warehouse for your application
      • Collect and transform data using Dataflows or Notebooks (PySpark).
      • Store data in Lakehouse or Warehouse.

    • Business Intelligence / Frontend:
      • Create interactive dashboards with Power BI (integrated into Fabric).
      • Expose reports via REST APIs or Embedded Analytics in your web app.

    • Data Integration:
      • Connect Fabric to SQL databases, APIs, CSV files, or cloud systems to centralize data

     

    For the skills :

    • Languages & Frameworks:
      • Python (for Data Engineering and Data Science in Fabric).
      • PySpark & Spark SQL (for data manipulation in Lakehouse).
      • REST APIs (to integrate Fabric with your application).

    • Data Concepts:
      • ETL / ELT (Extract, Transform, Load).
      • Data modeling (Star Schema, Lakehouse).

    • Power BI:
      • Building reports and dashboards.
      • Publishing and embedding in apps.

    • Cloud (SaaS), Security & Governance:
      • Managing access, roles, and data privacy.
      • Storage with OneLake

    If this helps, feel free to give me a kudo and mark my answer as the solution.

    Have a nice day,

    Vivien