AI is transforming data warehousing, making complex analytics more accessible and efficient. With tools like Copilot for Data Warehouse and AI Skill, Microsoft Fabric offers two powerful, complementary resources that serve both data developers and business users. This blog explores how these tools differ, when to use each, and how they can work together to … Continue reading “Data Warehouse: Copilot & AI Skill”
Welcome to the October 2024 Update! Here are a few, select highlights of the many we have for Fabric this month. API for GraphQL support for Service Principal Names (SPNs). Introducing a powerful new feature in Lakehouses: Sorting, Filtering, and Searching capabilities. An addition to KQL Queryset that will revolutionize the way you interact with … Continue reading “Fabric October 2024 Monthly Update”
We’re excited to announce several powerful updates to the Virtual Network (VNET) Data Gateway, designed to further enhance performance and improve the overall user experience. These new features allow users to better manage increasing workloads, perform complex data transformations, and simplify log management. Expanded Cluster Size from 5 to 7 One of the key improvements … Continue reading “New Features and Enhancements for Virtual Network Data Gateway”
As a developer working on data solutions in Fabric, you frequently create items in workspaces. Previously, by selecting ‘+New’ in the workspace, you can access a drop-down menu with some pre-defined item types to get started. However, when you need to create other types of items, you have to navigate to a new page, which … Continue reading “New Item Panel in Workspace”
We’re thrilled to announce that Fabric Runtime 1.3 has officially moved from Public Preview to General Availability (GA). This is a major upgrade to our Apache Spark-based big data execution engine, which powers both data engineering and data science workflows. Fabric Runtime 1.3 is now fully integrated into the Fabric platform, ensuring a smooth and … Continue reading “Fabric Runtime 1.3 is Generally Available! Upgrade your data engineering and science workloads to harness the latest innovations and performance enhancements”
