Microsoft Fabric Updates Blog

Microsoft Fabric 2025 holiday recap: Unified Data and AI Innovation

As 2025 ends, we’re taking a moment to reflect on Microsoft Fabric’s second year in the market and the collective progress made alongside our community, customers, and partners. What began as a unified vision for data and AI has grown into a platform adopted by more than 28,000 organizations worldwide, anchored by OneLake and shaped … Continue reading “Microsoft Fabric 2025 holiday recap: Unified Data and AI Innovation”

Fabric Environment Library Management Performance Improvement

Major performance improvements are here for Fabric Environment! Environment publishing is now up to 2.5x faster, and session startup speeds have improved by up to 3x, delivering a smoother and more reliable experience for developers. What’s Improved What’s Next? New library installation mode for lightweight packages and quick iteration is around the corner. Stay tuned … Continue reading “Fabric Environment Library Management Performance Improvement”

Fabric Runtime 2.0 (Preview)

Fabric Runtime provides seamless integration within the Microsoft Fabric ecosystem, delivering a powerful environment for data engineering and data science projects built on Apache Spark. Fabric Runtime 2.0 is now available in Experimental Public Preview (EPP). This next-generation runtime is purpose-built for large-scale data computations in Microsoft Fabric and introduces key features and components that … Continue reading “Fabric Runtime 2.0 (Preview)”

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: Key Highlights The following is an example of how to use Variable Library in notebook. Resources

Lakehouse Schemas (Generally Available)

Schema lakehouses are now Generally Available. By using schemas in lakehouses, users can arrange their tables more efficiently and make it easier to find data. When creating new lakehouses, schema-enabled lakehouses will now be the default choice. However, users still have the option to create lakehouses without a schema if they prefer. What do schema … Continue reading “Lakehouse Schemas (Generally Available)”