Microsoft Fabric Updates Blog

Power BI Admin portal Usage metrics dashboard retirement

Effective July 2024, the Power BI Admin portal Usage metrics dashboard will be removed. Comparable insights are now supported out-of-the-box through the Admin monitoring workspace (preview). Admin monitoring in Fabric overview The Admin monitoring workspace provides several Power BI reports and semantic models, including the Feature Usage and Adoption report which focuses on Fabric tenant … Continue reading “Power BI Admin portal Usage metrics dashboard retirement”

Microsoft Fabric June 2024 Update

Welcome to the June 2024 update. Here are a few, select highlights of the many we have for Fabric. Fabric Spark connector for Fabric Data Warehouse in Spark runtime is now available. Query activity, a one-stop view of your running and completed SQL queries for workspace admins is being announced. You can now run queries … Continue reading “Microsoft Fabric June 2024 Update”

Introducing Capacity Pools for Data Engineering and Data Science in Microsoft Fabric

We are excited to announce the Capacity Pools for Data Engineering and Data Science in Microsoft Fabric. As part of the Data Engineering and Science settings in the Admin portal, capacity administrators can create custom pools based on their workload requirements. Optimizing Cloud Spend and Managing Compute Resources In enterprise environments, managing cloud spending and … Continue reading “Introducing Capacity Pools for Data Engineering and Data Science in Microsoft Fabric”

Public Preview of Native Execution Engine for Apache Spark on Fabric Data Engineering and Data Science

The Native Execution Engine showcases our dedication to innovation and performance, transforming data processing in Microsoft Fabric. We are excited to announce that the Native Execution Engine for Fabric Runtime 1.2 is now available in public preview. The Native Execution Engine leverages technologies such as a columnar format and vectorized processing to boost query execution … Continue reading “Public Preview of Native Execution Engine for Apache Spark on Fabric Data Engineering and Data Science”