Category: Fabric
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Fabric – Lakehouse New Feature
Fabric Lakehouse supports the creation of custom schemas. Schemas allow users to group tables to improve data discovery, access control, and more. This is now a preview feature in Fabric. 💠 The Lakehouse connector now integrates with the Lakehouse schema functionality. 💠 Users can directly retrieve schema information from Fabric Lakehouse through the data pipeline.…
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Fabric – Real-Time Data Activator
Being able to make data-driven decisions and act on data in real-time is important for organizations because it allows them to avoid crises in systems that monitor product status and take other actions based on their needs. For this purpose, there is a tool called Data Activator that can be customized to have specific functions.…
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Fabric – AI Skills
AI Skills allows you to create your own conversational question-and-answer systems on Fabric using generative artificial intelligence. 💠 Benefits of AI Skills: These skills allow for reliable, data-driven responses to questions, reducing the workload of analysts and improving productivity. 💠 Key Features: AI Skills offer features designed to optimize workflow and enhance data security. 💠 Availability: The AI…
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Fabric – Trusted Workspace
An important update regarding access to workspaces. 💠 Security features: Access to the trusted workspace area and managed private endpoints protect and optimize data access and connectivity with Fabric. 💠 Extended availability: Now available in all F capacities, not just F64 or higher. 💠 Secure access: Allows secure access to Azure storage accounts and other protected data sources.…