Fabric changes
Microsoft's edit ·
Microsoft's commit message in MicrosoftDocs/fabric-docs · commit 6724b58 · +1 −1 lines · also on GitHub
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|**Copy job support for change data capture (CDC) (Preview)**|[Change Data Capture (CDC) in Copy Job](https://blog.fabric.microsoft.com/blog/fabric-may-2025-feature-summary?ft=All#post-23234-_Toc198140724) is a powerful capability in Data Factory Data pipelines that enables efficient and automated replication of changed data including inserted, updated, and deleted records from a source to a destination.|
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|**Create AI Auto-Description for Semantic Models (Preview)**|[Auto-Description for Semantic Models (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-April-2026-Feature-Summary/ba-p/5176490) uses Copilot to generate clear descriptions for semantic models from the model's metadata and structure, which model owners and contributors can review, edit, and regenerate directly from the semantic model details page in the OneLake catalog. For more information, see [OneLake catalog overview](../governance/onelake-catalog-overview.md).|
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|**Custom authorization for API for GraphQL (Preview)**|[Authorizer User Data Functions for API for GraphQL (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Custom-authorization-for-API-for-GraphQL-in-Microsoft-Fabric/ba-p/5182352) let you attach a User Data Function that runs before each GraphQL operation and evaluates request context such as tenant ID, role, or token claims to allow, restrict, or deny access based on your own policy logic. For more information, see [What is Microsoft Fabric API for GraphQL?](../data-engineering/api-graphql-overview.md) and [Create a Fabric User data functions item](../data-engineering/user-data-functions/create-user-data-functions-portal.md).|
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−|**Custom Live Pools for Fabric Data Engineering (Preview)**|[Custom Live Pools for Fabric Data Engineering (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Custom-Live-Pools-for-Fabric-Data-Engineering-Preview/ba-p/5187356) let workspace and capacity admins schedule ready-to-run Spark capacity tied to an Environment artifact, with activation windows, lifecycle and hydration monitoring through Monitoring Hub, intentional library-publishing semantics, and support for workspaces with Managed Private Endpoints. For more information, see [Configure custom live pools in Microsoft Fabric](../data-engineering/custom-live-pools-configure.md).|
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+|**Custom Live Pools for Fabric Data Engineering (Preview)**|[Custom Live Pools for Fabric Data Engineering (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Custom-Live-Pools-for-Fabric-Data-Engineering-Preview/ba-p/5187356) let workspace and capacity admins schedule ready-to-run Spark capacity tied to an Environment item, with activation windows, lifecycle and hydration monitoring through Monitoring Hub, intentional library-publishing semantics, and support for workspaces with Managed Private Endpoints. For more information, see [Configure custom live pools in Microsoft Fabric](../data-engineering/custom-live-pools-configure.md).|
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|**Customer Managed Keys (CMK) for Eventhouse (Preview)**|[Customer Managed Keys (CMK) for Eventhouse (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Customer-Managed-Keys-CMK-for-Eventhouse-Preview/ba-p/5172008) lets you bring your own Azure Key Vault key to encrypt Eventhouse data at rest, meeting strict regulatory requirements while keeping you in control of the key lifecycle. For more information, see [Data Encryption in Fabric Eventhouse (Preview)](../real-time-intelligence/eventhouse-encryption.md).|
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|**Data Agent support for Eventhouse functions, materialized views, and shortcuts (Preview)**|[Data Agent](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Data-Agent-Now-Supports-Eventhouse-Functions-Materialized-Views/ba-p/5181801) now discovers and queries Eventhouse user-defined functions (UDFs), materialized views, and shortcut tables, so it calls validated KQL logic, uses pre-aggregated views for faster answers, and reaches data federated from sources outside the eventhouse. For more information, see [Fabric data agent concepts](../data-science/concept-data-agent.md).|
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|**Data Factory Adaptive performance tuning (Preview)**|Adaptive Performance Tuning is designed to intelligently optimize data movement performance based on your configuration and runtime context. This preview feature makes tuning Data Factory simpler, safer, and more effective without requiring deep manual expertise or trial-and-error adjustments. To enable, see [the adaptivePerformanceTuning property when using copy activity](../data-factory/copy-data-activity.md#configure-your-other-settings-under-the-settings-tab).|
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Microsoft's Markdown source from MicrosoftDocs/fabric-docs, © Microsoft Corporation, under CC BY 4.0. Changed lines with up to 3 unchanged lines around each; ChangeIntel kept this copy 9 Oct 22:05 UTC. The commit date is when the source changed, which can be hours or days before Learn published it.