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Microsoft Fabric Updates Blog

  1. Updates
  2. Apache Spark

Boost performance effortlessly with Automated Table Statistics in Microsoft Fabric

We’re thrilled to introduce Automated Table Statistics in Microsoft Fabric Data Engineering — a major upgrade that helps you get blazing-fast query performance with zero manual effort. Whether you’re running complex joins, large aggregations, or heavy filtering workloads, Fabric’s new automated statistics will help Spark make smarter decisions, saving you time, compute, and money. What … Continue reading “Boost performance effortlessly with Automated Table Statistics in Microsoft Fabric”

Microsoft Fabric Data Engineering: Native Execution Engine now generally available

The Native Execution Engine for Fabric Data Engineering workloads 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 … Continue reading “Microsoft Fabric Data Engineering: 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”