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Microsoft Fabric Updates Blog

  1. Actualizaciones
  2. Apache Spark

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)”

Supercharge your workloads: write-optimized default Spark configurations in Microsoft Fabric

Introducing predefined Spark resource profiles in Microsoft Fabric—making it easier than ever for data engineers to optimize their compute configurations based on workload needs. Whether you’re handling read-heavy, write-heavy, or mixed workloads, Fabric now provides a property bag-based approach that streamlines Spark tuning with just a simple setting. With these new configurations, users can effortlessly … Continue reading “Supercharge your workloads: write-optimized default Spark configurations in Microsoft Fabric”