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Microsoft Fabric Updates Blog

  1. Actualizaciones
  2. Lakehouse

Use Service Principals to create shortcuts to ADLS Gen2 storage accounts with trusted access

You now have the capability with service principals to create shortcuts to Azure Data Lake Storage (ADLS) Gen2 storage accounts that have firewall enabled.  Previously, the creation of ADLS Gen2 shortcuts by service principals was restricted when firewall settings were active. However, with the latest changes, service principals will be able to navigate these restrictions … Continue reading “Use Service Principals to create shortcuts to ADLS Gen2 storage accounts with trusted access”

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”

Best-in-class connectivity and data movement with Data Factory in Fabric

In the fast-evolving data integration landscape, Data Factory continues to enhance the existing connectors to provide high-throughput data ingestion experience with no-code, low-code experience. With a focus on improving connector efficiency and expanding capabilities, recent updates bring significant advancements to a number of connectors. These improvements focus on: Latest innovations 1. Lakehouse connector now supports … Continue reading “Best-in-class connectivity and data movement with Data Factory in Fabric”

Playbook for metadata driven Lakehouse implementation in Microsoft Fabric

  • Headshot of article author abril 2, 2025 por RK Iyer 59.653 Vistas

Co-Author – Gyani Sinha, Abhishek Narain Overview A well-architected lakehouse enables organizations to efficiently manage and process data for analytics, machine learning, and reporting. To achieve governance, scalability, operational excellence, and optimal performance, adopting a structured, metadata-driven approach is crucial for lakehouse implementation. Building on our previous blog, Demystifying Data Ingestion in Fabric, this post … Continue reading “Playbook for metadata driven Lakehouse implementation in Microsoft Fabric”

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)”