Microsoft Fabric Updates Blog

Variable Library Support in Notebook (Generally Available)

This release brings consistent, secure, and scalable configuration management directly into notebooks—streamlining environment-aware development and CI/CD workflows without hardcoding.

Why it Matters

As projects grow, managing environment-specific settings can become complex. With Variable Library support in notebooks, you can:

  • Centralize configuration management for notebooks without hardcoding values.
  • Enable dynamic parameterization for Spark settings, lakehouse bindings, and compute configurations.
  • Simplify CI/CD pipelines by using variables across environments and stages.

Key Highlights

  • NotebookUtils Integration – Access variables programmatically in your notebook code using the NotebookUtils Variable library utilities APIs, run the notebookutils.variableLibrary.help() to get more detailed usage.
  • Service Principal (SPN) support – SPN authentication is now available for Variable Library, enabling secure, automated processes in enterprise CI/CD pipelines and notebook activity pipelines.
  • Use %%configure to dynamically assign runtime settings – Combine Variable Library with %%configure to bind environment-specific runtime settings in the notebook, such as the default lakehouse, without manual edits.

The following is an example of how to use Variable Library in notebook.

Define variables in Variable library
Use Variable library in notebook

Resources

Zugehörige Blogbeiträge

Variable Library Support in Notebook (Generally Available)

Januar 20, 2026 von Xu Jiang

The exchange of real-time data across different data platforms is becoming increasingly popular. The Cribl source (preview) is now available in Real-Time Intelligence, allowing real-time data to flow into Fabric RTI Eventstream through our collaboration with Cribl, enabling you to take full advantage of Fabric Real-Time Intelligence’s robust analytics tools for their real-time needs. Collaborating to broaden … Continue reading “Expanding Real-Time Intelligence data sources with Cribl source (Preview)”

Januar 20, 2026 von Ye Xu

Copy job is the go-to solution in Microsoft Fabric Data Factory for simplified data movement, whether you’re moving data across clouds, from on-premises systems, or between services. With native support for multiple delivery styles, including bulk copy, incremental copy, and change data capture (CDC) replication, Copy job offers the flexibility to handle a wide range … Continue reading “Simplifying data movement across multiple clouds with Copy job – Enhancements on incremental copy and change data capture”