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Microsoft Fabric Updates Blog

  1. Updates
  2. Data Engineering

Microsoft Fabric Spark: Native Execution Engine now generally available

The Fabric Spark Native Execution Engine (NEE) is now generally available (GA) as part of Fabric Runtime 1.3. This C++-based vectorized engine (built on Apache Gluten and Velox) runs Spark workloads directly on the lakehouse, requiring no code changes or new libraries. It supports Spark 3.5 APIs and both Parquet and Delta Lake formats, so … Continue reading “Microsoft Fabric Spark: Native Execution Engine now generally available”

Simplifying Medallion Implementation with Materialized Lake Views in Fabric

We are excited to announce Materialized Lake views (MLV) in Microsoft Fabric. Coming soon in preview, MLV is a new feature that allows you to build declarative data pipelines using SQL, complete with built-in data quality rules and automatic monitoring of data transformations. In essence, an MLV is a persisted, continuously updated view of your … Continue reading “Simplifying Medallion Implementation with Materialized Lake Views in Fabric”

Fabric May 2025 Feature Summary

Today kicks off Microsoft Build and we have a lot of new features in store for you. Some highlights are the Fabric Roadmap tool, a way to get glimpse of that is coming soon to Fabric. Chat with your data, powerful AI capabilities that make Power BI even easier. Cosmos DB in Fabric, give you the … Continue reading “Fabric May 2025 Feature Summary”

Smart Mutations in Microsoft Fabric API for GraphQL with Stored Procedures

  • Headshot of article author May 15, 2025 by Ed Lima 9,206 Views

Overview Microsoft Fabric API for GraphQL makes it easy to query and mutate data from a Fabric- SQL database and other Fabric data sources such as Data Warehouse and Lakehouse, with strongly typed schemas and a rich query language allowing developers to create an intuitive API without writing custom server code. While you can’t customize … Continue reading “Smart Mutations in Microsoft Fabric API for GraphQL with Stored Procedures”

Improving productivity in Fabric Notebooks with Inline Code Completion (Preview)

Now available in preview, Copilot Inline Code Completion is an AI-powered feature that helps data scientists and engineers write high-quality Python code faster and with greater ease. Inspired by GitHub Copilot, this feature offers intelligent code suggestions as you type, with no commands needed. By understanding the context of your notebook, Copilot Inline Code Completion … Continue reading “Improving productivity in Fabric Notebooks with Inline Code Completion (Preview)”