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Microsoft Fabric Updates Blog

  1. Updates
  2. Apache Spark

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”

Connect to your most sensitive data with end-to-end network security in Fabric

The path to building a data-rich culture requires making all of your data, even sensitive data, available for analysis. But with all of this data flowing into your data platform, you need to be certain that your data is secure at every step of the data journey. Since the launch of Microsoft Fabric, we’ve released … Continue reading “Connect to your most sensitive data with end-to-end network security in Fabric”

Announcing permission model changes for OneLake events in Fabric Real-Time Hub

We are excited to announce the latest update to our permission model for OneLake events in the Fabric Real-Time Hub. Previously, users with the ReadAll permission, such as workspace admins, members, and contributors, could subscribe to OneLake events for items like lakehouses, warehouses, SQL databases, mirrored databases, and KQL databases. To provide more granular control, we … Continue reading “Announcing permission model changes for OneLake events in Fabric Real-Time Hub”

High Concurrency mode for notebooks in pipelines (Generally Available)

High Concurrency mode for notebooks in pipelines is now generally available (GA)! This powerful feature enhances enterprise data ingestion and transformation by optimizing session sharing within one of the most widely used orchestration mechanisms. With this release, we’re also introducing Comprehensive Monitoring for High-Concurrency Spark Applications, bringing deeper visibility and control to your workloads. Key … Continue reading “High Concurrency mode for notebooks in pipelines (Generally Available)”