Microsoft Fabric  

Directly Import a Notebook Into a Microsoft Fabric Workspace

Microsoft Fabric has rapidly become the unified home for analytics, engineering, and data science workloads. As more teams adopt Fabric Notebooks for data exploration, ETL pipelines, and machine learning, one common need emerges:

👉 How do you easily import a Notebook saved on your local machine directly into your Fabric workspace?

Whether you’re migrating existing work, collaborating across teams, or starting fresh with a new environment, Fabric makes Notebook import simple and intuitive. In this article, I’ll walk you through the exact process, highlight best practices, and share tips to stay organized.

Why Import Notebooks Into Fabric?

Before we jump into the steps, here’s why direct imports matter:

  • Seamless migration from legacy Azure Synapse or Databricks notebooks

  • Reusability of your existing Python or PySpark assets

  • Collaboration, versioning, and governance inside OneLake & Fabric workspace

  • Centralized development—no need to rebuild scripts manually

If you’ve been storing .ipynb notebooks on your desktop, GitHub, or a shared folder, you can bring them straight into Fabric with just a few clicks.

Supported Notebook Format

Fabric currently supports:

  • .ipynb (Jupyter Notebook format)

  • .md (Markdown Notebook format)

So if your notebook is in standard Jupyter format, you’re good to go.

Step-by-Step: Importing a Notebook From Desktop to Fabric Workspace

1. Open Your Fabric Workspace

Log into your Fabric tenant and select the workspace where you want the notebook to live.
This could be a development, staging, or production workspace—wherever your workflow belongs.

2. Click on “Import” in the Workspace

At the top-left of your workspace page, select import then Notebook and from this computer

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In the Import status window, select upload

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Select the Notebook from the location on the local drive.

That’s It — Your Notebook Is Now in Fabric!

You can now:

  • Connect to Lakehouses, Warehouses, or SQL Endpoints

  • Run Python, PySpark, or SQL cells

  • Create charts and visualizations

  • Build pipelines using Data Factory in Fabric

  • Schedule notebooks using Data Activator or pipelines

Your notebook behaves exactly the same as one created directly in Fabric.

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Best Practices for Managing Imported Notebooks

To keep your project clean and professional, here are a few recommendations:

✔️ Use folders inside your workspace

Organize notebooks by:

  • Project

  • Domain

  • Pipeline stage (Bronze, Silver, Gold)

  • Business area

✔️ Connect notebooks to Git (Fabric Git Integration)

This allows:

  • Version control

  • Collaboration

  • CI/CD workflows

✔️ Use Fabric’s Lakehouse shortcuts for easy data access

Shortcuts let you reference external storage without duplicating data.

✔️ Store notebooks with pipelines for better orchestration

Makes your ETL reproducible and easier to deploy.

Conclusion

Importing notebooks from your desktop into Microsoft Fabric is straightforward and efficient. In just a few clicks, you can migrate existing work, collaborate with teammates, and build powerful data solutions on top of Fabric’s unified analytics platform.

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