Fabric changes

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33 description: Learn about the new features and documentation improvements for Microsoft Fabric.

44 author: WilliamDAssafMSFT

55 ms.author: wiassaf

6 −ms.date: 08/26/2026

6 +ms.date: 08/31/2026

77 ms.update-cycle: 30-days

88 ms.topic: whats-new

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111111 |**Fabric Data Warehouse MCP server (Preview)**|[Agentic warehouse development with MCP and Agent Skills (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bringing-agentic-warehouse-development-to-Fabric-Data-Warehouse/ba-p/5360190) introduces a remote Data Warehouse MCP server that lets AI coding agents work with Fabric warehouses through authenticated, governed tools. For more information, see [Data Warehouse MCP server](../data-warehouse/data-warehouse-mcp-server.md) and [Skills for Microsoft Fabric](skills-for-fabric-overview.md).|

112112 |**Fabric IQ (Preview) workload** | [Fabric IQ (preview)](../iq/overview.md) is a new workload for unifying business semantics across data, models, and systems to power intelligent agents and decisions grounded in a live, holistic view of the business.|

113113 |**Fabric Lakehouse support in dbt job (Preview)**|[Fabric Lakehouse support in dbt job (Preview)](https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/introducing-fabric-lakehouse-support-in-dbt-job-for-microsoft-fabric-preview/5358240) lets you run dbt projects directly against a new or existing lakehouse and apply dbt models and tests where your data is stored. For more information, see [dbt job in Microsoft Fabric](../data-factory/dbt-job-overview.md).|

114 +|**Fabric Maps in Real-Time Dashboards (Preview)**|[Fabric Maps in Real-Time Dashboards (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-Fabric-Maps-into-Real-Time-Dashboards-Preview/ba-p/5360916) lets you add a published Fabric Map as a dashboard tile while keeping the map's layers, filters, and styling in the map item. For more information, see [Add a Fabric Maps tile](../real-time-intelligence/dashboard-real-time-create.md#add-a-fabric-maps-tile-preview).|

114115 |**Fabric Migration Assessment for Data Factory (Preview)**|The new [Fabric Migration Assessment for Data Factory (Preview)](https://blog.fabric.microsoft.com/blog/new-migration-experience-from-azure-data-factory-to-fabric-preview?ft=All) provides a built-in assessment and migration experience that evaluates ADF pipeline readiness and migrates supported pipelines into a Fabric workspace with connection mapping. For more information, see [Migration planning for Azure Data Factory to Fabric Data Factory](../data-factory/migrate-planning-azure-data-factory.md).|

115116 |**Fabric Core MCP Server (Preview)**|[Fabric Core MCP Server (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Agentic-Fabric-How-MCP-is-turning-your-data-platform-into-an-AI/ba-p/5172009) is a remote, cloud-hosted Model Context Protocol server that lets AI agents perform real, authenticated operations against Fabric workspaces, items, search, permissions, connections, and OneLake through Microsoft Entra ID with full audit logging, with no local install. For more information, see [Get started with Fabric Core MCP Server](/rest/api/fabric/articles/mcp-servers/core-remote/get-started-core).|

116117 |**Fabric SKU estimator (Preview)**|The [Microsoft Fabric SKU estimator](https://www.microsoft.com/microsoft-fabric/capacity-estimator), now available in preview, is an enhanced version of the previously introduced Microsoft Fabric Capacity Calculator. For more information, see [Introducing the Microsoft Fabric SKU estimator (preview)](https://blog.fabric.microsoft.com/blog/empowering-businesses-with-smart-capacity-planning-introducing-the-microsoft-fabric-sku-estimator?ft=All) and [Mastering SKU Estimations with the Microsoft Fabric SKU Estimator](https://blog.fabric.microsoft.com/blog/mastering-sku-estimations-with-the-microsoft-fabric-sku-estimator?ft=All).|

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195196 |**Month** | **Feature** | **Learn more** |

196197 |:-- |:-- | :-- |

197198 |August 2026|**Mirroring for Google BigQuery (Generally Available)**|[Mirroring in Fabric](../mirroring/overview.md) offers a simple, low-latency way to continuously replicate your Google BigQuery data into OneLake with no ETL pipelines, no data movement, and no proprietary formats. Once in Fabric, mirrored BigQuery data is queryable in near real time across Power BI Direct Lake, the SQL analytics endpoint, Data Engineering, Data Science, Real-Time Intelligence, and Copilot. For more information, see [Mirrored databases from Google BigQuery](../mirroring/google-bigquery.md) and [Tutorial: Set up mirroring for Google BigQuery](../mirroring/google-bigquery-tutorial.md).|

198 −|August 2026|**Migration Assistant to SQL database**|The Migration Assistant for SQL database simplifies moving SQL Server on-premises workloads into Fabric. Designed for SQL developers, it imports schema via DACPACs, identifies compatibility issues, and provides clear, actionable guidance before migration. For more information, see [Fabric Migration Assistant for SQL database](../database/sql/migration-assistant.md).|

199 −|August 2026|**Warehouse IDENTITY columns (Generally available)**|IDENTITY columns automatically produce unique values for each new row, eliminating the need for manual key assignments and eliminating the risk of key duplication and key integrity issues. For more information and to get started, see [IDENTITY columns](../data-warehouse/identity.md) and [Use IDENTITY columns to create surrogate keys](../data-warehouse/tutorial-identity.md). You can also learn how to [Migrate to IDENTITY columns in Fabric Data Warehouse](../data-warehouse/migrate-identity-columns.md).|

199 +|August 2026|**Migration Assistant to SQL database (Generally Available)**|[Migration Assistant to SQL database](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Migration-Assistant-for-SQL-database-Generally-Available/ba-p/5363606) is generally available and lets you validate a source DACPAC for compatibility before provisioning a SQL database in Fabric. For more information, see [Fabric Migration Assistant for SQL database](../database/sql/migration-assistant.md).|

200 +|August 2026|**Warehouse IDENTITY columns (Generally Available)**|[IDENTITY columns](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/IDENTITY-columns-support-for-Identity-Insert-Generally-Available/ba-p/5361138) are now generally available in Fabric Data Warehouse. You can use `IDENTITY_INSERT` and reseed operations for migration and controlled data loads. For more information, see [IDENTITY columns](../data-warehouse/identity.md) and [Use IDENTITY columns to create surrogate keys](../data-warehouse/tutorial-identity.md).|

200201 |August 2026|**Real-Time Dashboard KPI visualization (Generally Available)**|[The KPI visualization in Real-Time Dashboards is now generally available](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Monitor-key-metrics-at-a-glance-with-the-new-KPI-visualization/ba-p/5360033), providing at-a-glance metrics with goals, status indicators, trends, and conditional formatting. For more information, see [Customize Real-Time Dashboard visuals](../real-time-intelligence/dashboard-visuals-customize.md) and [Apply conditional formatting in Real-Time Dashboards](../real-time-intelligence/dashboard-conditional-formatting.md).|

201202 |August 2026|**PowerTable billing personas (Generally Available)**|[Billing personas for PowerTable in Fabric Planning are generally available](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Billing-personas-for-PowerTable-within-Planning-in-Fabric-IQ/ba-p/5360168), with role-based billing for Planners, Stakeholders, and Viewers. For more information, see [Billing and usage for planning in Fabric](../iq/plan/resources/billing-fabric-plan.md).|

202203 |August 2026|**Workspace customer-managed key APIs (Generally Available)**|[Workspace customer-managed key APIs are generally available](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Customer-Managed-Key-CMK-APIs-for-Microsoft-Fabric-Workspaces/ba-p/5360035), so administrators can automate workspace encryption-key assignment and removal. For more information, see [Customer-managed keys for Fabric workspaces](../security/workspace-customer-managed-keys.md) and [Assign workspace encryption](/rest/api/fabric/core/workspaces/assign-workspace-encryption).|

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216217 |July 2026|**Lakehouse Query Explorer (Generally Available)**|[Lakehouse Query Explorer](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Explore-validate-and-iterate-faster-with-the-new-Lakehouse-Query/ba-p/5309466) lets you run Spark SQL in the Lakehouse explorer to inspect data, test joins, create views, and iterate before you move logic to notebooks or SQL analytics endpoints. For more information, see [Query data with the Lakehouse query explorer](../data-engineering/lakehouse-query-explorer.md).|

217218 |July 2026|**OneLake item-size reporting (Generally Available)**|[OneLake item-size reporting](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Understand-your-data-with-the-OneLake-storage-report-Generally/ba-p/5295144) gives you a workspace storage report that breaks down item data, system data, soft-deleted data, and billing status in the Fabric portal. For more information, see [Get the size of OneLake items](../onelake/how-to-get-item-size.md).|

218219 |July 2026|**OneLake storage tiers and lifecycle management (Generally Available)**|[OneLake storage tiers and lifecycle management](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Controlling-storage-costs-with-OneLake-lifecycle-management/ba-p/5295135) let you keep active data in the hot tier and move less-used data to cool or cold tiers with lifecycle policies. For more information, see [Get the size of OneLake items](../onelake/how-to-get-item-size.md) and [OneLake diagnostics](../onelake/onelake-diagnostics-overview.md).|

220 +|July 2026|**Plan (Generally Available)**|[Plan in Fabric IQ (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-Enterprise-planning-to-the-AI-Era-with-Planning-in/ba-p/5326315) is a unified no-code platform for collaborative planning, reporting, analytics, data integration, and management. For more information, see [What is plan?](../iq/plan/overview.md) |

219221 |July 2026|**Dropped warehouse recovery (Generally Available)**|[Dropped warehouse recovery](https://blog.fabric.microsoft.com/blog/dropped-warehouse-recovery-in-microsoft-fabric-preview?ft=All) lets Workspace Administrators restore accidentally dropped warehouses from the Workspace Recycle Bin within a configurable retention window (7 to 90 days), recovering table schemas, data, snapshots, permissions, views, and stored procedures. For more information, see [Manage workspaces](../admin/portal-workspaces.md).|

220 −|July 2026| **Planning (Generally Available)** | [Planning in Fabric IQ (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-Enterprise-planning-to-the-AI-Era-with-Planning-in/ba-p/5326315) is a unified no-code platform for collaborative planning, reporting, analytics, data integration, and management. For more information, see [What is planning in Fabric?](../iq/plan/overview.md) |

221 −|June 2026|**Item Recovery (Generally Available)**|[Item Recovery in Microsoft Fabric (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Item-Recovery-in-Microsoft-Fabric-Generally-Available/ba-p/5240675) lets authorized users restore deleted items across supported workloads through the Workspace Recycle bin or REST API within a configurable retention window of up to 90 days, and admins configure tenant-wide recovery policies from the Fabric admin portal. For more information, see [Retention and recovery in Fabric](../admin/retention-recovery.md).|

222 −|June 2026|**Operations agent (Generally Available)**|[Operations agent (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advancing-autonomous-action-with-operations-agent-Generally/ba-p/5192046) is an autonomous agent that monitors your data with Real-Time Intelligence, reasons over your Fabric IQ ontology, and, with your approval, runs pipelines, notebooks, user data functions, and Power Automate flows, with Teams notifications, full tracing and audit, and Microsoft Agent 365 and Microsoft Entra ID governance. For more information, see [Create and configure operations agents](../real-time-intelligence/operations-agent.md).|

223 −|June 2026|**Diagnose Lakehouse table health with T-SQL (Generally Available)**|[Lakehouse table health diagnostics (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Know-before-you-optimize-Diagnose-Lakehouse-table-health-with-a/ba-p/5228076) add the built-in `sys.sp_get_table_health_metrics` stored procedure to the SQL analytics endpoint, returning anomaly indicators and storage metrics such as small-file counts, deleted-row counts, and checkpoint versions so you can run `OPTIMIZE` only when needed. For more information, see [Optimize Lakehouse tables based on health checks](../data-warehouse/tutorial-conditional-lakehouse-optimization.md).|

224 −|June 2026|**Event-driven Copy job execution with Activator (Generally Available)**|[Event-driven Copy job execution with Fabric Activator (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Event-Driven-Copy-Job-Execution-with-Fabric-Activator-Generally/ba-p/5195808) lets you invoke a Copy job directly from an Activator rule instead of a pipeline, so data movement runs when Activator detects an event such as a new file in OneLake, a table update, or a metric threshold, avoiding empty scheduled runs. For more information, see [What is Copy job in Data Factory for Microsoft Fabric?](../data-factory/what-is-copy-job.md)|

225 −|June 2026|**Fabric Git Integration – GitHub Enterprise Cloud with Data Residency (Generally Available)**|[Fabric Git Integration now supports GitHub Enterprise Cloud with data residency (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId--1909877471), so customers using GitHub Enterprise Cloud with Data Residency (`ghe.com`) can connect Fabric workspaces directly to their GitHub repositories while keeping repository content in the region of their EMU. For more information, see [Microsoft Fabric and GitHub Enterprise Cloud with data residency support](../cicd/github-data-residency-support.md).|

226 −|June 2026|**New default AI functions (Generally Available)**|[AI functions in Fabric (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId-115192530) use `gpt-5-mini` with low reasoning by default for Python AI Functions in pandas and PySpark, support `gpt-5.1` for more sophisticated transformations, remove the hard `openai` package dependency for pandas AI Functions, and provide richer Spark execution and usage statistics including reasoning token counts for cost monitoring. For more information, see [AI Functions: Transform data at scale with AI](../data-science/ai-functions/overview.md).|

227 −|June 2026|**Data agents in Microsoft 365 Copilot (Generally Available)**|[Fabric Data Agents in Microsoft 365 Copilot (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId-1475309270) lets business users discover and chat with governed Fabric data sources directly inside Microsoft 365 Copilot, with admin-managed publishing and Entra ID-enforced data permissions. For more information, see [Fabric data agent concepts](../data-science/concept-data-agent.md).|

228 −|June 2026|**Real-Time Dashboards Live Refresh (Generally Available)**|[Live Refresh for Real-Time Dashboards (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Live-refresh-for-Real-Time-Dashboards-Generally-Available/ba-p/5194911) pushes new data to dashboard tiles as soon as it lands, replacing periodic refresh polling with always-current visualizations for operational monitoring and live analytics scenarios. For more information, see [Create a Real-Time Dashboard](../real-time-intelligence/dashboard-real-time-create.md).|

229 −|June 2026|**Business Events Capacity Consumption (Generally Available)**|Business Events capacity consumption is now metered through the standard Fabric capacity model, so publishing, routing, and consuming business events bills against your existing capacity SKU with no separate license. For more information, see [Microsoft Fabric Capacity Metrics app](https://aka.ms/fabric-capacity-metrics) and [Business events overview (Preview)](../real-time-hub/business-events/business-events-overview.md).|

230 −|June 2026|**Eventstream streaming connectors for Apache Kafka and Azure Service Bus (Generally Available)**|[Eventstream Apache Kafka and Azure Service Bus streaming connectors (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId-456534603) provide hardened reliability, broader authentication support (SASL_SSL, SASL_PLAINTEXT, Microsoft Entra), and production-ready throughput for ingesting Kafka topics and Service Bus queues into Fabric Eventstream. For more information, see [Add Apache Kafka source to a Fabric eventstream](../real-time-intelligence/event-streams/add-source-apache-kafka.md) and [Add an Azure Service Bus source to an eventstream](../real-time-intelligence/event-streams/add-source-azure-service-bus.md).|

231 −|June 2026|**CDC with SQL estates in Copy job (Generally Available)**|[Change data capture (CDC) for SQL estates in Copy job (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Simplify-your-data-movement-with-Copy-job-CDC-with-SQL-estate/ba-p/5184211) brings native, low-latency replication of inserts, updates, and deletes from Azure SQL Database, SQL Server, and Azure SQL Managed Instance into Fabric destinations with no separate change tracking infrastructure. For more information, see [Change data capture (CDC) in Copy Job](../data-factory/cdc-copy-job.md).|

232 −|June 2026| **SharePoint and OneDrive shortcuts (Generally Available)** | Create shortcuts to SharePoint or OneDrive locations, with support for workspace identity and service principal authentication. For more information, see [Create a OneDrive or SharePoint shortcut](../onelake/create-onedrive-sharepoint-shortcut.md) and [Workspace identity](../security/workspace-identity.md).|

233 −|June 2026|**Fabric Graph (Generally Available)**|[Graph in Microsoft Fabric](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Graph-in-Fabric-Generally-Available/ba-p/5190748) helps you model, visualize, and analyze complex relationships within your data. It's a scalable, enterprise-grade solution that turns disconnected data into AI-powered insights. By using graph, you can uncover hidden connections within your data and enhance decision-making capabilities. For more information, see [Graph in Microsoft Fabric overview](../graph/overview.md).|

234 −|June 2026|**Migration Assistant direct connection (Generally Available)**|[Migration Assistant direct connection (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Migration-Assistant-Enhancements-for-Fabric-Data-Warehouse/ba-p/5190675) lets you connect directly to the source warehouse for a migration to Fabric Data Warehouse. For more information, see [Fabric Migration Assistant for Data Warehouse](../data-warehouse/migration-assistant.md) and [Migrate with a direct connection](../data-warehouse/migrate-using-connection-to-source-system.md).|

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236223 For older general availability (GA) announcements, review the [Microsoft Fabric What's New archive](whats-new-archive.md#generally-available-features).

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253240 |**Month** | **Feature** | **Learn more** |

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242 +|August 2026|**SQLCon/FabCon Europe SQL team sessions**|[SQLCon/FabCon Europe SQL team sessions](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Find-the-SQL-Team-at-SQLCon-FabCon-Europe-2026/ba-p/5359947) take place in Barcelona from September 28 through October 1, 2026, with sessions on SQL Server, Azure SQL, and SQL database in Fabric. For more information, see [the conference program](https://espc.tech/conference/fabcon-europe-2026/programme).|

255243 |August 2026|**FabCon + SQLCon 2027 session tracks**|[FabCon + SQLCon 2027 session submission guidance](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/FabCon-SQLCon-2027-Selecting-the-right-track-for-your-session/ba-p/5360163) helps prospective speakers choose the right track for their proposals. Visit [FabCon](https://aka.ms/fabcon) and [submit a session](https://aka.ms/fabcon-cfc).|

256244 |July 2026|**Fabric Influencers Spotlight July 2026**|[Fabric Influencers Spotlight July 2026](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Influencers-Spotlight-July-2026/ba-p/5323891) highlights blog posts, articles, and videos from Microsoft MVPs and Fabric Super Users covering Fabric platform administration and governance, Data Engineering, Data Integration, Data Warehousing, databases, Data Science, AI and data agents, Real-Time Intelligence, and Power BI.|

257 −|June 2026|**Fabric Influencers Spotlight June 2026**|[Fabric Influencers Spotlight June 2026](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Influencers-Spotlight-June-2026/ba-p/5232694) highlights blog posts, videos, and presentations from Microsoft MVPs and Fabric Super Users covering Data Engineering, Data Science, Fabric platform administration and governance, Real-Time Intelligence, databases, and AI and data agents.|

258 −|June 2026|**Data Days**|In 2026, we're going bigger than ever. Data Days now expands beyond Fabric and Power BI and includes SQL and AI. The event features over 100 live sessions, more than 5 contests and challenges, and dozens of study groups and learning opportunities. You aren't going to want to miss this event. It all starts on June 15, 2026. [Pre-register](https://aka.ms/datadays) to get updates on Data Days activities, voucher offers, and more.|

259 −|June 2026|**FabCon+SQLCon Europe 2026**|Europe's largest Microsoft Fabric and SQL event lands in Barcelona, September 28 – October 1, 2026. From 130 sessions and 4 keynotes to workshops, the expo, community spaces, and the Power BI DataViz World Championships, this is where the data community comes together. [Register now](https://aka.ms/fabconeu) and save €200 with code `FABCMTY200`.|

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261246 For older updates, review the [Microsoft Fabric What's New archive](whats-new-archive.md#community).

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287272 |July 2026|**Sensitivity labels as AI agent context**|[Using sensitivity labels to guide AI agents and skills](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Use-sensitivity-labels-to-improve-AI-Agents-accuracy-and/ba-p/5256054) shows how Microsoft Purview sensitivity labels—already used for access control and protection policies in Fabric—also give AI agents organizational context to select and prioritize data by label, so agents provide fuller analysis on General data while restricting or summarizing Confidential and Highly Confidential content according to your rules. For more information, see [Apply sensitivity labels to Fabric items](apply-sensitivity-labels.md) and [Information protection in Microsoft Fabric](../governance/information-protection.md).|

288273 |July 2026|**Secure zero-copy distribution with OneLake security and shortcuts**|[Zero-copy distribution patterns with OneLake security and shortcuts](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Securing-zero-copy-distribution-patterns-with-OneLake-security/ba-p/5227853) explains how passthrough shortcuts evaluate permissions on the target for source-managed authorization, and how delegated shortcuts—including delegated OneLake shortcuts—use an intermediate identity so central teams delegate access management at scale and share data across Fabric tenants, with security combined via intersection. For more information, see [OneLake security access control model](../onelake/security/data-access-control-model.md) and [Secure and manage OneLake shortcuts](../onelake/onelake-shortcut-security.md).|

289274 |July 2026|**Delegated OneLake Shortcuts (Preview)**|[Delegated OneLake Shortcuts (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Simplifying-secure-data-access-with-Delegated-OneLake-Shortcuts/ba-p/5254632) let you attach an organizational account, service principal, or workspace identity to a OneLake shortcut so downstream users access the target through the delegated identity. The same model works across Microsoft Fabric tenants for parent-subsidiary and test-to-production sharing without individual cross-tenant permissions. For more information, see [OneLake shortcuts](../onelake/onelake-shortcuts.md) and [Create a OneLake shortcut](../onelake/shortcuts/create-onelake-shortcut.md).|

290 −|June 2026|**Item Recovery (Generally Available)**|[Item Recovery in Microsoft Fabric (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Item-Recovery-in-Microsoft-Fabric-Generally-Available/ba-p/5240675) lets authorized users restore deleted items across supported workloads through the Workspace Recycle bin or REST API within a configurable retention window of up to 90 days, and admins configure tenant-wide recovery policies from the Fabric admin portal. For more information, see [Retention and recovery in Fabric](../admin/retention-recovery.md).|

291 −|June 2026|**ServiceNow zero-copy querying of OneLake data (Preview)**|[The ServiceNow OneLake connector (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/ServiceNow-Zero-Copy-Querying-of-Enterprise-Data-in-Microsoft/ba-p/5198369) lets ServiceNow Workflow Data Fabric query governed OneLake data in place through the OneLake Table APIs and the Apache Iceberg REST Catalog standard, so ServiceNow workflows, analytics, and AI agents use enterprise data without ETL pipelines or copies. For more information, see [OneLake overview](../onelake/onelake-overview.md) and [Iceberg table APIs overview](../onelake/table-apis/iceberg-table-apis-overview.md).|

292 −|June 2026|**Service issue notifications and Service Health dashboard (Preview)**|[Service issue communications in Fabric (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Stay-informed-about-Microsoft-Fabric-service-issues-Preview/ba-p/5194037) surface service interruptions through in-product banners and optional Microsoft Teams and email notifications, and add a dedicated Service Health page in the admin portal under Help + Support so admins can track active issues and recent incidents. For more information, see [Configure service interruption notifications](/power-bi/support/service-interruption-notifications) and [Track service health in Fabric](/power-bi/support/service-admin-health).|

293 −|June 2026|**Cross-workspace role management in the OneLake catalog (Preview)**|[Cross-workspace role management in the OneLake catalog (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Cross-workspace-role-management-in-the-OneLake-catalog-Preview/ba-p/5192072) lets you assign, edit, and remove members for compatible workspace roles and OneLake security roles across multiple workspaces from the Secure tab in one workflow, instead of updating each workspace individually. For more information, see [OneLake catalog overview](../governance/onelake-catalog-overview.md) and [Secure your Fabric data](../governance/secure-your-data.md).|

294 −|June 2026|**Built-in Fabric data protection for AI readiness**|[Built-in Fabric data protection](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Use-built-in-Fabric-data-protection-to-get-your-data-AI-ready/ba-p/5237428) applies Microsoft Purview sensitivity labels, protection policies, data loss prevention (DLP), and Data Security Posture Management (DSPM) directly to lakehouses, warehouses, semantic models, and reports, and labels persist when you export to Excel, PowerPoint, PDF, or `.pbix`. For more information, see [Information protection in Microsoft Fabric](../governance/information-protection.md) and [Protection policies in Microsoft Fabric](../governance/protection-policies-overview.md).|

295 −|June 2026|**Fabric Skills for AI coding tools**|[Fabric Skills](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Skills-for-GitHub-Copilot-Claude-and-CLI-built-by/ba-p/5190188) is an open-source, MIT-licensed library of Microsoft-authored AI skills that teach GitHub Copilot, Claude Code, Cursor, Windsurf, and other AI coding tools the right APIs, token audiences, query patterns, and end-to-end recipes for Fabric workloads. Install the full `fabric-skills` bundle or focused `fabric-authoring`, `fabric-consumption`, or `fabric-operations` bundles from the [skills-for-fabric repository](https://github.com/microsoft/skills-for-fabric).|

296 −|June 2026|**Fabric Git Integration – GitHub Enterprise Cloud with Data Residency (Generally Available)**|[Fabric Git Integration now supports GitHub Enterprise Cloud with data residency (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId--1909877471), so customers using GitHub Enterprise Cloud with Data Residency (`ghe.com`) can connect Fabric workspaces directly to their GitHub repositories while keeping repository content in the region of their EMU. For more information, see [Microsoft Fabric and GitHub Enterprise Cloud with data residency support](../cicd/github-data-residency-support.md).|

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298276 For older updates, review the [Microsoft Fabric What's New archive](whats-new-archive.md#microsoft-fabric-platform-features).

299277

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305283 |:-- |:-- | :-- |

306284 |July 2026|**Fabric-CICD tool v1.2.0 – new bulk publish mode (Preview)**|[fabric-cicd bulk publish mode](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-July-2026-Feature-Summary/ba-p/5325823#toc-hId--1858933153) lets fabric-cicd publish multiple items in one Fabric bulk import API call and fall back to standard publishing for unsupported scenarios.|

307285 |July 2026|**Change Git branch with Contributor role (Preview)**|[Change Git branch with Contributor role](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-July-2026-Feature-Summary/ba-p/5325823#toc-hId-628579680) lets workspace Contributors and Members switch the connected Git branch without workspace Admin permissions. For more information, see [Allow Contributors and Members to switch branches](../cicd/git-integration/git-get-started.md#allow-contributors-and-members-to-switch-branches).|

308 −|June 2026|**Fabric Git Integration – GitHub Enterprise Cloud with Data Residency (Generally Available)**|[Fabric Git Integration now supports GitHub Enterprise Cloud with data residency (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId--1909877471), so customers using GitHub Enterprise Cloud with Data Residency (`ghe.com`) can connect Fabric workspaces directly to their GitHub repositories while keeping repository content in the region of their EMU. For more information, see [Microsoft Fabric and GitHub Enterprise Cloud with data residency support](../cicd/github-data-residency-support.md).|

309 −|June 2026|**CI/CD Support for SQL analytics endpoint (Preview)**|[CI/CD support for SQL analytics endpoint (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId--1208717068) lets you manage SQL analytics endpoint definitions as DacFx database projects in Git alongside other Fabric items and deploy incremental schema changes through Fabric Deployment Pipelines.|

310286

311287 For older updates, review the [Microsoft Fabric What's New archive](whats-new-archive.md#continuous-integrationcontinuous-delivery-cicd-in-microsoft-fabric).

312288

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316292

317293 |**Month** | **Feature** | **Learn more** |

318294 |:-- |:-- | :-- |

295 +|August 2026|**On-premises data gateway August 2026 release**|The [August 2026 on-premises data gateway release](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/On-premises-data-gateway-August-2026-release/ba-p/5363026) updates the gateway to version 3000.330 and aligns its query execution with the August 2026 Power BI Desktop release. For more information, see [Update an on-premises data gateway](/data-integration/gateway/service-gateway-update).|

319296 |August 2026|**Fabric Lakehouse support in dbt job (Preview)**|[Fabric Lakehouse support in dbt jobs](https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/introducing-fabric-lakehouse-support-in-dbt-job-for-microsoft-fabric-preview/5358240) lets you run dbt projects directly against a new or existing lakehouse and apply dbt models and tests where your data is stored. For more information, see [dbt job in Microsoft Fabric](../data-factory/dbt-job-overview.md).|

320297 |August 2026|**On-premises data gateway July 2026 release**|The [July 2026 on-premises data gateway release](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/On-premises-data-gateway-July-2026-release/ba-p/5356257) (version 3000.326) aligns gateway query execution with the July 2026 Power BI Desktop release and includes security, authentication, and diagnostics improvements.|

321298 |August 2026|**Modern evaluation engine for VNet data gateways (Preview)**|The [modern evaluation engine for VNet data gateways (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Evaluate-Fabric-workload-performance-with-the-modern-evaluation/ba-p/5330293) provides an opt-in execution path for supported mashup evaluations so you can test semantic model refresh, Dataflow Gen2 refresh, and DirectQuery performance without changing your private network architecture. For more information, see [Modern evaluation engine for VNet data gateways](/data-integration/vnet/modern-evaluation-engine).|

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323300 |July 2026|**Autoscaling for Virtual Network Data Gateway (Preview)**|[Autoscaling for Virtual Network Data Gateway (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/VNET-Data-Gateway-Autoscaling-Preview/ba-p/5281553) automatically adjusts the number of active gateway nodes within admin-defined minimum and maximum limits based on workload demand, so the gateway absorbs spikes without manual intervention and scales down to reduce cost during idle periods. For more information, see [Download logs on the virtual network data gateway](/data-integration/vnet/data-gateway-download-diagnostics).|

324301 |July 2026|**Operations Agent for Pipelines (Preview)**|Operations Agent for Pipelines is an AI-powered monitoring agent that continuously watches your pipeline runs and proactively notifies you through Microsoft Teams when failures or anomalies occur. Configure the agent to monitor specific scenarios such as all pipeline failures or runs exceeding expected durations. For more information, see [Operations Agent for Pipelines (preview)](../data-factory/operations-agent-for-pipelines.md).|

325302 |July 2026|**AI-assisted Synapse pipeline migration to Fabric (Preview)**|[AI-assisted Synapse pipeline migration to Fabric (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/AI-assisted-Synapse-Spark-and-pipeline-migration-to-Microsoft/ba-p/5234478) moves Synapse Data Factory pipelines to Fabric Data Factory through a command-line skill that runs on REST APIs, starts with a read-only assessment, recreates linked services as Fabric connections, inlines dataset properties into activities, converts workspace global parameters into a variable library, and repoints notebook activities to their migrated Fabric notebooks. For more information, see [Skills for Microsoft Fabric](skills-for-fabric-overview.md).|

326 −|June 2026|**Migrate Azure Data Factory pipelines from your Fabric workspace (Preview)**|[Fabric-first Azure Data Factory migration (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Migrating-Azure-Data-Factory-pipelines-to-Fabric-directly-from/ba-p/5190801) lets you start and complete ADF pipeline migrations without leaving Fabric: select **Migrate** > **Data Factory**, mount a read-only reference to an ADF instance, then select pipelines, auto-map supported connections, and migrate them into a named folder with triggers disabled by default. For more information, see [Upgrade Azure Data Factory pipelines to Fabric Data Factory](/azure/data-factory/how-to-upgrade-your-azure-data-factory-pipelines-to-fabric-data-factory) and [Migration best practices for Azure Data Factory to Fabric Data Factory](../data-factory/migration-best-practices.md).|

327 −|June 2026|**Event-driven Copy job execution with Activator (Generally Available)**|[Event-driven Copy job execution with Fabric Activator (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Event-Driven-Copy-Job-Execution-with-Fabric-Activator-Generally/ba-p/5195808) lets you invoke a Copy job directly from an Activator rule instead of a pipeline, so data movement runs when Activator detects an event such as a new file in OneLake, a table update, or a metric threshold, avoiding empty scheduled runs. For more information, see [What is Copy job in Data Factory for Microsoft Fabric?](../data-factory/what-is-copy-job.md)|

328 −|June 2026|**On-premises data gateway June 2026 release**|The [June 2026 on-premises data gateway release](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/On-premises-data-gateway-June-2026-release/ba-p/5233421) (version 3000.322) adds Windows Web Account Manager (WAM) broker authentication, updates the bundled Apache Log4j library to 2.25.4, adds consent-driven diagnostic uploads in the Dataflow Gen2 run experience, and aligns the gateway query engine with the June 2026 Power BI Desktop release. For more information, see [Update an on-premises data gateway](/data-integration/gateway/service-gateway-update).|

329 −|June 2026|**CDC with SQL estates in Copy job (Generally Available)**|[Change data capture (CDC) for SQL estates in Copy job (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Simplify-your-data-movement-with-Copy-job-CDC-with-SQL-estate/ba-p/5184211) brings native, low-latency replication of inserts, updates, and deletes from Azure SQL Database, SQL Server, and Azure SQL Managed Instance into Fabric destinations. For more information, see [Change data capture (CDC) in Copy Job](../data-factory/cdc-copy-job.md).|

330 −|June 2026|**Extended SCD Type 2 support in Copy job for Fabric Data Warehouse (Preview)**|[Extended SCD Type 2 support in Copy job (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Simplify-your-data-movement-with-Copy-job-CDC-with-SQL-estate/ba-p/5184211) brings native Slowly Changing Dimension Type 2 with effective dating and soft-delete handling to Fabric Data Warehouse destinations, giving you an audit-ready view of every record's lifecycle. For more information, see [Change data capture (CDC) in Copy Job](../data-factory/cdc-copy-job.md).|

331 −|June 2026|**Extended Auto partition support in Copy job for Oracle, Fabric Lakehouse, and SAP HANA (Preview)**|[Extended Auto partition support in Copy job (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Simplify-data-movement-with-Copy-job-more-control-more/ba-p/5184219) automatically scales out reads and writes for Oracle, Fabric Lakehouse, and SAP HANA without predefining partition columns or custom sharding logic. For more information, see [What is Copy job in Data Factory for Microsoft Fabric?](../data-factory/what-is-copy-job.md)|

332 −|June 2026|**Conditional activity retries in Data Factory pipelines (Preview)**|[Conditional activity retries (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId-1620137838) let you define exactly when a pipeline activity retries based on the error code, error message, or both with AND/OR logic, so long-running pipelines automatically recover from transient failures while fast-failing on errors that don't self-resolve. For more information, see [Activity overview](../data-factory/activity-overview.md).|

333303 |July 2026|**Pipeline canvas node experience updates**|The refreshed [pipeline canvas in Fabric Data Factory](../data-factory/pipeline-canvas-experience.md) has new node designs for improved readability and usability when building and monitoring Fabric Data Factory pipelines. |

334304

335305 For older updates, review the [Microsoft Fabric What's New archive](whats-new-archive.md#data-factory-in-microsoft-fabric).

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338308

339309 |**Month** | **Feature** | **Learn more** |

340310 |:-- |:-- | :-- |

311 +|August 2026|**Common dbt job patterns (Preview)**|[Common dbt job patterns in Microsoft Fabric (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Common-dbt-job-patterns-in-Microsoft-Fabric-Preview/ba-p/5361480) describes warehouse-only, lakehouse-and-warehouse, and lakehouse-only medallion designs for dbt jobs. For more information, see [Common dbt job patterns in Microsoft Fabric](../data-factory/common-dbt-job-patterns.md).|

341312 |August 2026|**Connectivity patterns for data integration workloads**|[Connectivity patterns in Microsoft Fabric](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Connectivity-patterns-in-Microsoft-Fabric-A-guide-for-data/ba-p/5360180) compare public endpoints, managed virtual networks, virtual network data gateways, and on-premises data gateways for data integration workloads. For more information, see [Managed virtual networks in Fabric](../security/security-managed-vnets-fabric-overview.md) and [Virtual network data gateways](/data-integration/vnet/overview).|

342 −|June 2026|**AI-assisted Synapse to Fabric migration skills (Preview)**|[AI-assisted Synapse to Fabric migration skills (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/AI-assisted-Synapse-Spark-and-pipeline-migration-to-Microsoft/ba-p/5234478) move Synapse Spark pools, lake databases, notebooks, Spark job definitions, and Data Factory pipelines to Microsoft Fabric from the command line by using REST APIs, with lift-and-shift and migrate-and-modernize paths and a read-only assessment step. For more information, see [Skills for Microsoft Fabric](skills-for-fabric-overview.md).|

343 −|June 2026|**Securing the Power Query connector ecosystem**|[Microsoft is bringing Power Query connectors in-house](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Securing-the-Power-Query-connector-ecosystem-in-Fabric/ba-p/5195164) to secure the connector supply chain and clarify a four-stage connector lifecycle—Preview, Generally Available, Transparent Migration, and Retirement—building on recently shipped Microsoft-owned V2 connectors such as Snowflake, Google BigQuery, and Amazon Redshift. For more information, see [Snowflake connector](/power-query/connectors/snowflake) and [Google BigQuery connector](/power-query/connectors/google-bigquery).|

344 −|June 2026|**Multi-cloud data architecture patterns with Fabric Data Factory (Generally Available)**|[Multi-cloud data architecture patterns](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Multi-cloud-data-architecture-patterns-using-Fabric-Data-Factory/ba-p/5217279) show how Fabric Data Factory uses native connectors and orchestration activities such as If-Condition, Until, and ForEach with event-based triggers to coordinate workflows across Snowflake, Databricks, Google BigQuery, and Salesforce, and how OneLake shortcuts and mirroring enable zero-copy, near real-time access with Purview lineage. For more information, see [Activity overview](../data-factory/activity-overview.md) and [Connector overview](../data-factory/connector-overview.md).|

345313

346314 ## Fabric Apps (Preview)

347315

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350318 |**Month** | **Feature** | **Learn more** |

351319 |:-- |:-- | :-- |

352320 |August 2026|**Anonymous data access for Fabric Apps (Preview)**|[Anonymous data access for Fabric Apps (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Introducing-anonymous-data-access-for-Fabric-Apps-Preview/ba-p/5361116) lets an app expose selected entity operations to unauthenticated visitors while tenant settings and data-model roles limit access. For more information, see [Anonymous data access](../apps/anonymous-data-access.md).|

353 −|June 2026|**Rayfin SDK and CLI (Preview)**|[Rayfin (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Introducing-Rayfin-A-new-AI-first-way-to-build-deploy-and-govern/ba-p/5191676) is an open-source SDK and CLI that developers and coding agents use to define a complete application backend in code—data models, APIs, identity, access policies, and business logic—and deploy it to Microsoft Fabric. The resulting apps run as first-class items with built-in governance and direct access to OneLake. For more information, see [Fabric Apps](../apps/overview.md), the [Rayfin GitHub repo](https://aka.ms/rayfin/GH), and the [Rayfin docs](https://aka.ms/rayfin/docs).|

354 −|May 2026|**Fabric Apps**|[Fabric Apps (preview)](../apps/index.yml) helps you build data-driven applications on Microsoft Fabric by combining data models, generated APIs, authentication, and hosting in one development workflow. You define your data models in TypeScript, and Fabric Apps uses them to generate the backend pieces your app needs. Fabric Apps supports TypeScript as the language for data models, client code, and application logic.|

355321

356322 #### Fabric Apps samples and guidance

357323

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377343 |July 2026|**Native Execution Engine CSV acceleration**|[Native Execution Engine CSV acceleration](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Native-Execution-Engine-now-accelerates-CSV-workloads-in/ba-p/5311861) reads CSV files in the native vectorized pipeline when Native Execution Engine is enabled, so existing Spark notebooks, pipelines, and SQL queries can run faster with no code changes. For more information, see [Native execution engine for Fabric Data Engineering](../data-engineering/native-execution-engine-overview.md).|

378344 |July 2026|**Lakehouse Query Explorer (Generally Available)**|[Lakehouse Query Explorer](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Explore-validate-and-iterate-faster-with-the-new-Lakehouse-Query/ba-p/5309466) lets you run Spark SQL in the Lakehouse explorer to inspect data, test joins, create views, and iterate before you move logic to notebooks or SQL analytics endpoints. For more information, see [Query data with the Lakehouse query explorer](../data-engineering/lakehouse-query-explorer.md).|

379345 |July 2026|**Fabric Runtime Release Channels**|[Fabric Runtime Release Channels](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Runtime-Release-Channels/ba-p/5240330) give each Spark runtime a Default and Early Access channel, so you preview library upgrades, dependency changes, security patches, and operating system updates on your workloads before they roll out as the new default. You opt in by setting two Spark configuration properties on your Environment. For more information, see [Fabric runtime release channels (Preview)](../data-engineering/release-channels.md).|

380 −|June 2026|**AI-assisted Synapse Spark migration to Fabric (Preview)**|[AI-assisted Synapse Spark migration to Fabric (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/AI-assisted-Synapse-Spark-and-pipeline-migration-to-Microsoft/ba-p/5234478) moves Synapse Spark pools to Fabric environments, lake databases to Lakehouses, and notebooks and Spark job definitions to their Fabric equivalents through a command-line skill that runs on REST APIs, with automatic code refactoring, storage-path shortcuts, and a migration report. For more information, see [Skills for Microsoft Fabric](skills-for-fabric-overview.md).|

381 −|June 2026|**Fabric Spark Operations Skill for failure diagnosis (Preview)**|[The Fabric Spark Operations Skill (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Simplify-Spark-failure-diagnosis-in-Fabric-Preview/ba-p/5196959) brings AI-assisted, read-only Spark diagnostics to Microsoft Fabric: describe a notebook, pipeline, or workspace in plain language and the open-source skill resolves IDs, queries the Spark monitoring APIs, and returns a severity-ranked report with root-cause explanations and fix recommendations instead of raw logs. For more information, see [Apache Spark monitoring overview](../data-engineering/spark-monitoring-overview.md) and [Monitor Spark applications using Spark monitoring APIs](../data-engineering/spark-monitoring-api-overview.md).|

382 −|June 2026|**Spark History Server snapshot-based loading (Preview)**|[Snapshot-based loading for the Spark History Server (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Spark-History-Server-performance-improvement-Snapshot-based/ba-p/5196953) loads Spark execution metrics and logs incrementally from the backend instead of parsing the full event log upfront, so large applications that previously took up to an hour render in seconds or minutes. You can enable event log compression and rolling for Spark Streaming jobs. For more information, see [Use extended Apache Spark history server to debug and diagnose Apache Spark applications](../data-engineering/apache-spark-history-server.md).|

383 −|June 2026|**Efficient Scaledown for Spark jobs (Preview)**|[Efficient Scaledown (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/More-resilient-Spark-jobs-with-Efficient-Scaledown-Preview/ba-p/5212071) decouples Spark shuffle data from executor lifetime by routing shuffle output to Azure Blob Storage, so clusters scale down faster and tolerate executor loss with no notebook or query changes. It combines a Remote Shuffle Manager, shuffle migration, a per-stage decision layer, and adaptive query execution (AQE) optimization. For more information, see [Efficient scaledown and remote shuffle manager](../data-engineering/efficient-scaledown-remote-shuffle-manager.md) and [Native execution engine for Fabric Data Engineering](../data-engineering/native-execution-engine-overview.md).|

384 −|June 2026|**Faster Python UDFs in the Native Execution Engine**|[Python UDFs and complex data types in the Native Execution Engine](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Improve-performance-for-Python-UDFs-and-complex-data-types-in/ba-p/5212036) now run in the engine's native columnar path—covering arrays, maps, and structs—which reduces serialization round-trips and avoids fallback to row-based execution, so existing notebooks and Spark jobs benefit with no code changes once it's enabled. For more information, see [Native execution engine for Fabric Data Engineering](../data-engineering/native-execution-engine-overview.md).|

385 −|June 2026|**Diagnose Lakehouse table health with T-SQL (Generally Available)**|[Lakehouse table health diagnostics (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Know-before-you-optimize-Diagnose-Lakehouse-table-health-with-a/ba-p/5228076) add the built-in `sys.sp_get_table_health_metrics` stored procedure to the SQL analytics endpoint, returning anomaly indicators and storage metrics such as small-file counts, deleted-row counts, and checkpoint versions so you can run `OPTIMIZE` only when needed. For more information, see [Optimize Lakehouse tables based on health checks](../data-warehouse/tutorial-conditional-lakehouse-optimization.md).|

386 −|June 2026|**Time Travel using SQL analytics endpoint (Preview)**|[Time travel using the SQL analytics endpoint](../data-warehouse/time-travel.md) extends the Fabric Data Warehouse time travel experience to the SQL analytics endpoint so you can query Lakehouse data exactly as it looked at any prior point in time by adding `OPTION (FOR TIMESTAMP AS OF '...')` once at the T-SQL statement level.|

387346

388347 For older updates, review the [Microsoft Fabric What's New archive](whats-new-archive.md#fabric-data-engineering).

389348

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409368 |July 2026|**Fabric data agents in Foundry**|[Fabric data agents in Microsoft Foundry](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-data-agents-in-Microsoft-Foundry-Easier-to-connect-easier/ba-p/5318989) now connect through MCP, appear in OneLake Catalog discovery, support multiple data agents per Foundry agent, and expose logs and traces through Foundry Observability. For more information, see [Observability for Fabric data agents in Microsoft Foundry](../data-science/fabric-data-agent-foundry-observability.md).|

410369 |July 2026|**Data agent Copilot integration retirement**|[Fabric data agent integration in Copilot in Power BI](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Retirement-of-Fabric-data-agent-integration-in-Copilot-in-Power/ba-p/5328344) retires on August 26, 2026, so you need to move data agent workflows to supported experiences. |

411370 |July 2026|**Fabric data agent Assistants API retirement**|[Fabric data agent Assistants API retirement](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Prepare-your-Fabric-Data-Agent-integrations-for-Assistants-API/ba-p/5314634) requires you to migrate direct Assistants API integrations to the data agent MCP endpoint before August 26, 2026. For more information, see [Use the Fabric data agent programmatically](../data-science/data-agent-end-to-end-tutorial.md#use-the-fabric-data-agent-programmatically) and [Fabric data agent SDK](../data-science/fabric-data-agent-sdk.md).|

412 −|June 2026|**New default AI functions (Generally Available)**|[AI functions in Fabric (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId-115192530) use `gpt-5-mini` with low reasoning by default for Python AI Functions in pandas and PySpark, support `gpt-5.1` for more sophisticated transformations, remove the hard `openai` package dependency for pandas AI Functions, and provide richer Spark execution and usage statistics including reasoning token counts for cost monitoring. For more information, see [AI Functions: Transform data at scale with AI](../data-science/ai-functions/overview.md).|

413371

372 +

414373 For older updates, review the [Microsoft Fabric What's New archive](whats-new-archive.md#fabric-data-science).

415374

416375 <a id="synapse-data-science-samples-and-guidance"></a>

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439398

440399 |**Month** | **Feature** | **Learn more** |

441400 |:-- |:-- | :-- |

442 −|August 2026|**Migration Assistant to SQL database**|The Migration Assistant for SQL database simplifies moving SQL Server on-premises workloads into Fabric. Designed for SQL developers, it imports schema via DACPACs, identifies compatibility issues, and provides clear, actionable guidance before migration. For more information, see [Fabric Migration Assistant for SQL database](../database/sql/migration-assistant.md).|

401 +|August 2026|**Migration Assistant to SQL database (Generally Available)**|[Migration Assistant to SQL database](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Migration-Assistant-for-SQL-database-Generally-Available/ba-p/5363606) is generally available and lets you validate a source DACPAC for compatibility before provisioning a SQL database in Fabric. For more information, see [Fabric Migration Assistant for SQL database](../database/sql/migration-assistant.md).|

443402 |August 2026|**SQL database skills (Preview)**|[SQL database skills (Preview)](https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/build-end-to-end-fabric-solutions-with-sql-database-skills-preview/5357234) give AI coding agents workload-specific guidance for authoring schemas, querying data, and operating SQL databases as part of broader Fabric solutions. For more information, see [Work with SQL database skills in Microsoft Fabric](../database/sql/skills.md).|

444403 |July 2026|**Change event streaming (Preview)**|Change event streaming (CES) captures row-level DML changes (inserts, updates, and deletes) and publishes each change to Fabric Eventstream or Azure Event Hubs in near real time as a CloudEvent, enabling downstream analytics and event-driven architectures with no ETL. For more information, see [Change event streaming overview](/sql/relational-databases/track-changes/change-event-streaming/overview?view=fabric-sqldb&preserve-view=true).|

445 −|June 2026|**SSMS 22.7 schema compare and SQL formatter (Preview)**|[Schema compare and a built-in SQL formatter in SSMS 22.7 (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Power-up-in-SSMS-22-7-Schema-compare-and-SQL-formatting/ba-p/5193417) let you diff two database definitions—a connected database, SQL project, or `.dacpac`—and selectively apply changes, format T-SQL from the editor context menu or on save, and set SQLCMD variables in the publish dialog for SQL projects. For more information, see [Schema comparison](/sql/tools/sql-database-projects/concepts/schema-comparison) and [SQL formatter](https://aka.ms/sqlformatter).|

446404

405 +

447406 For older updates, review the [Microsoft Fabric What's New archive](whats-new-archive.md#sql-database-in-microsoft-fabric).

448407

449408 #### SQL database in Microsoft Fabric samples and guidance

450409

451410 |**Month** | **Feature** | **Learn more**|

452411 |:-- |:-- | :-- |

453 −|June 2026|**Microsoft SQL updates in 2026 so far**|[A mid-year recap of Microsoft SQL updates](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/What-s-new-across-Microsoft-SQL-in-2026-so-far-SQL-Server-Azure/ba-p/5221163) collects Preview and Generally Available changes across SQL Server, Azure SQL, and SQL database in Fabric. Highlights include regex support for large object (LOB) types, Microsoft Entra server-level logins, `AI_GENERATE_EMBEDDINGS`, SQL Server 2025 RTM, and SQL database in Fabric updates such as full collation support and the migration assistant.|

454 −|June 2026|**Use case for SQL databases in AI applications**|The latest in a series of articles, read the many ways you can [use a Fabric SQL database in AI applications](../database/sql/use-case-ai-application.md), including for [the native vector data type](/sql/t-sql/data-types/vector-data-type?view=fabric-sqldb&preserve-view=true) and [vector scalar functions](/sql/t-sql/functions/vector-functions-transact-sql?view=fabric-sqldb&preserve-view=true), RAG-ready architecture, [LangChain](https://github.com/Azure-Samples/azure-sql-langchain) and [Semantic Kernel](https://github.com/microsoft/semantic-kernel), and Fabric platform integration.|

455 −|June 2026|**Power BI in-report alerts with translytical task flows**|[A translytical task flow pattern for in-report alerts](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Solving-Power-BI-in-report-alerts-with-translytical-task-flows/ba-p/5190667) uses a SQL database in Fabric to store notifications, a User Data Function to write them back, and a Lakehouse shortcut to a Direct Lake semantic model to surface them as a per-report badge and detail panel inside Power BI reports—replacing email distribution lists with in-report alerts that any author can wire up. For more information, see [Set up alerts directly in Power BI reports using translytical task flows](/power-bi/create-reports/translytical-task-flow-report-alerts).|

412 +|August 2026|**BACPAC and DACPAC guidance**|[BACPAC and DACPAC guidance](https://devblogs.microsoft.com/azure-sql/bacpac-and-dacpac-the-similarities-and-differences/) explains that BACPAC files provide schema and data portability for Azure SQL Database, while DACPAC files support schema deployments and can optionally include data for SQL database in Fabric. For more information, see [SqlPackage for SQL database in Microsoft Fabric](../database/sql/sqlpackage.md).|

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463420 |**Month** | **Feature** | **Learn more** |

464421 |:-- |:-- | :-- |

465 −|August 2026|**Warehouse IDENTITY columns (Generally available)**|IDENTITY columns automatically produce unique values for each new row, eliminating the need for manual key assignments and eliminating the risk of key duplication and key integrity issues. For more information and to get started, see [IDENTITY columns](../data-warehouse/identity.md) and [Use IDENTITY columns to create surrogate keys](../data-warehouse/tutorial-identity.md). You can also learn how to [Migrate to IDENTITY columns in Fabric Data Warehouse](../data-warehouse/migrate-identity-columns.md).|

422 +|August 2026|**Warehouse IDENTITY columns (Generally Available)**|[IDENTITY columns](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/IDENTITY-columns-support-for-Identity-Insert-Generally-Available/ba-p/5361138) are now generally available in Fabric Data Warehouse. You can use `IDENTITY_INSERT` and reseed operations for migration and controlled data loads. For more information, see [IDENTITY columns](../data-warehouse/identity.md) and [Use IDENTITY columns to create surrogate keys](../data-warehouse/tutorial-identity.md).|

466423 |August 2026|**Fabric Data Warehouse MCP server (Preview)**|[Agentic warehouse development with MCP and Agent Skills (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bringing-agentic-warehouse-development-to-Fabric-Data-Warehouse/ba-p/5360190) introduces a remote Data Warehouse MCP server that lets AI coding agents work with Fabric warehouses through authenticated, governed tools. For more information, see [Data Warehouse MCP server](../data-warehouse/data-warehouse-mcp-server.md) and [Skills for Microsoft Fabric](skills-for-fabric-overview.md).|

467424 |August 2026|**SQL audit logs predicate filtering**|You can [use T-SQL predicate expressions to filter which events are captured in your SQL audit logs](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/SQL-Audit-Logs-More-Signal-Less-Noise-with-Predicate-Filtering/ba-p/5357211) of Fabric Data Warehouse and SQL analytics endpoint. For more information, see [SQL audit logs in Fabric Data Warehouse](../data-warehouse/sql-audit-logs.md).|

468425 |August 2026|**Fabric Data Warehouse GPU query acceleration (Preview)**|[GPU-accelerated Fabric Data Warehouse (Early Access Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/A-new-analytics-frontier-GPU-accelerated-Fabric-Data-Warehouse/ba-p/5191598) uses NVIDIA accelerated computing to run eligible T-SQL queries on GPUs with no query rewrites, delivering up to 7x faster performance at high concurrency across all SQL analytics endpoints and warehouses in a workspace once you enable it from workspace settings. For more information, see [Query acceleration in Fabric Data Warehouse (preview)](../data-warehouse/query-acceleration.md).|

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470427 |July 2026|**Warehouse source control (Preview)**|By using [Source control with Warehouse (preview)](../data-warehouse/development-deployment.md), you can manage development and deployment of versioned warehouse objects. Use the [SQL Database Projects extension](/sql/tools/visual-studio-code-extensions/sql-database-projects/sql-database-projects-extension) available inside Visual Studio Code. For more information on warehouse source control, see [CI/CD with Warehouses in Microsoft Fabric](https://blog.fabric.microsoft.com/blog/ci-cd-with-warehouses-in-microsoft-fabric/).|

471428 |July 2026|**Dropped warehouse recovery (Generally Available)**|Workspace Administrators can restore accidentally dropped warehouses from the Workspace Recycle Bin within a configurable retention window (7 to 90 days), recovering table schemas, data, snapshots, permissions, views, and stored procedures. You can [configure the dropped item retention period in the **Item Recovery** tenant setting](../admin/item-recovery.md#set-up-the-retention-period-for-deleted-items).|

472429 |July 2026|**Dropped warehouse recovery (Generally Available)**|[Dropped warehouse recovery](https://blog.fabric.microsoft.com/blog/dropped-warehouse-recovery-in-microsoft-fabric-preview?ft=All) lets Workspace Administrators restore accidentally dropped warehouses from the Workspace Recycle Bin within a configurable retention window (7 to 90 days), recovering table schemas, data, snapshots, permissions, views, and stored procedures. For more information, see [Manage workspaces](../admin/portal-workspaces.md).|

473 −|June 2026|**GPU-accelerated Fabric Data Warehouse (Early Access Preview)**|[GPU-accelerated Fabric Data Warehouse (Early Access Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/A-new-analytics-frontier-GPU-accelerated-Fabric-Data-Warehouse/ba-p/5191598) uses NVIDIA accelerated computing to run eligible T-SQL queries on GPUs with no query rewrites, delivering up to 7x faster performance at high concurrency across all SQL analytics endpoints and warehouses in a workspace once you enable it from workspace settings.|

474 −|June 2026|**Bulk Copy API for faster ingestion (Preview)**|[Bulk Copy API (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Using-Bulk-Copy-API-for-faster-ingestion-in-Fabric-Data/ba-p/5195627) writes data directly to Fabric Data Warehouse tables from application code without first staging files, replacing row-by-row `INSERT` statements to improve ingestion throughput. You can use it through SqlBulkCopy for C#, SQLServerBulkCopy for Java, the [bcp utility](/sql/tools/bcp/bcp-utility?view=fabric&preserve-view=true), and tools such as SSIS, Azure Data Factory, and Informatica. For more information, see [Ingest data into your warehouse by using BCP API (Preview)](../data-warehouse/ingest-data-bulk-copy.md).|

475 −|June 2026|**Diagnose Lakehouse table health with T-SQL (Generally Available)**|[Lakehouse table health diagnostics (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Know-before-you-optimize-Diagnose-Lakehouse-table-health-with-a/ba-p/5228076) add the built-in `sys.sp_get_table_health_metrics` stored procedure to the SQL analytics endpoint, returning anomaly indicators and storage metrics such as small-file counts, deleted-row counts, and checkpoint versions so you can run `OPTIMIZE` only when needed. For more information, see [Optimize Lakehouse tables based on health checks](../data-warehouse/tutorial-conditional-lakehouse-optimization.md).|

476 −|June 2026|**New string functions and operators (Preview)**|[New string functions and operators (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/New-string-functions-and-operators-in-Fabric-Data-Warehouse/ba-p/5195232) expand the Fabric Data Warehouse T‑SQL language with **String matching functions** including ([Levenshtein distance](/sql/t-sql/functions/edit-distance-transact-sql?view=fabric&preserve-view=true), [Jaro–Winkler distance](/sql/t-sql/functions/jaro-winkler-distance-transact-sql?view=fabric&preserve-view=true), [Levenshtein similarity](/sql/t-sql/functions/edit-distance-similarity-transact-sql?view=fabric&preserve-view=true), and [Jaro–Winkler similarity](/sql/t-sql/functions/jaro-winkler-similarity-transact-sql?view=fabric&preserve-view=true)), **Concatenation** ( [\|\|](/sql/t-sql/language-elements/string-concatenation-pipes-transact-sql?view=fabric&preserve-view=true) and [\|\|=](/sql/t-sql/language-elements/compound-assignment-pipes-transact-sql?view=fabric&preserve-view=true) ), and **Unicode construction** ([UNISTR](/sql/t-sql/functions/unistr-transact-sql?view=fabric&preserve-view=true)).|

477 −|June 2026|**CI/CD Support for SQL analytics endpoint (Preview)**|[CI/CD support for SQL analytics endpoint (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId--1208717068) lets you manage SQL analytics endpoint definitions as DacFx database projects in Git alongside other Fabric items and deploy incremental schema changes through Fabric Deployment Pipelines. For more information, see [Source control (preview)](../data-warehouse/development-deployment.md).|

478 −|June 2026|**Time Travel using SQL analytics endpoint (Preview)**|[Time travel using the SQL analytics endpoint](../data-warehouse/time-travel.md) extends the Fabric Data Warehouse time travel experience to the SQL analytics endpoint so you can query Lakehouse data exactly as it looked at any prior point in time by adding `OPTION (FOR TIMESTAMP AS OF '...')` once at the T-SQL statement level.|

479 −|June 2026|**Migration Assistant direct connection (Generally Available)**|[Migration Assistant direct connection (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Migration-Assistant-Enhancements-for-Fabric-Data-Warehouse/ba-p/5190675) lets you connect directly to the source warehouse for a migration to Fabric Data Warehouse. For more information, see [Fabric Migration Assistant for Data Warehouse](../data-warehouse/migration-assistant.md) and [Migrate with a direct connection](../data-warehouse/migrate-using-connection-to-source-system.md).|

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481431 For older updates, review the [Microsoft Fabric What's New archive](whats-new-archive.md#fabric-data-warehouse).

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504454 |July 2026|**Azure Monitor and AWS Glue mirroring (Preview)**|[Mirrored Azure Monitor and Mirrored AWS Glue catalog](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-Azure-Monitor-and-AWS-Glue-data-to-OneLake-Preview/ba-p/5326474) bring Log Analytics workspace tables and AWS Glue Iceberg tables into OneLake for Fabric analysis without duplicating data. For more information, see [Mirror Azure Monitor in Microsoft Fabric](https://aka.ms/OneLakeMirroredCatalogDocs/AzMon) and [Mirrored AWS Glue catalog](https://aka.ms/OneLakeMirroredCatalogDocs/AWSGlue).|

505455 |July 2026|**Azure Monitor Logs mirroring (Preview)**|[Azure Monitor Logs mirroring (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Cross-domain-intelligence-with-Azure-Monitor-data-in-Microsoft/ba-p/5279352) brings Log Analytics workspace telemetry into OneLake so you can combine observability and business data in Eventhouse, Real-Time Dashboards, and Operations Agent workflows.|

506456 |July 2026|**Snowflake Iceberg mirroring**|[Snowflake Iceberg mirroring](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-your-Snowflake-Iceberg-tables-to-OneLake-with-Fabric/ba-p/5301177) syncs Snowflake Iceberg table metadata into OneLake through shortcuts so you query the data across Fabric without duplicating files. For more information, see [OneLake, the unified data lake](../onelake/onelake-overview.md) and [OneLake shortcuts](../onelake/onelake-shortcuts.md).|

507 −|June 2026|**Azure Databricks stores Unity Catalog tables in OneLake (Preview)**|[Azure Databricks can now store Unity Catalog managed tables directly in OneLake](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Extending-interoperability-Azure-Databricks-can-now-store-Unity/ba-p/5199741) through a Unity Catalog external location mapped to a OneLake path (Beta), and Publish to Fabric (Preview) creates Mirrored Azure Databricks Catalog items from Catalog Explorer so the tables are immediately queryable across Fabric workloads. For more information, see [OneLake catalog federation in Azure Databricks](/azure/databricks/query-federation/onelake) and [Mirroring Azure Databricks Unity Catalog](../mirroring/azure-databricks.md).|

508457

458 +

509459 For older updates, review the [Microsoft Fabric What's New archive](whats-new-archive.md#fabric-mirroring).

510460

511461 #### Fabric Mirroring samples and guidance

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521471 |**Month** | **Feature** | **Learn more** |

522472 |:-- |:-- | :-- |

473 +|August 2026|**Fabric Maps in Real-Time Dashboards (Preview)**|[Fabric Maps in Real-Time Dashboards (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-Fabric-Maps-into-Real-Time-Dashboards-Preview/ba-p/5360916) lets you add a published Fabric Map as a dashboard tile while keeping the map's layers, filters, and styling in the map item. For more information, see [Add a Fabric Maps tile](../real-time-intelligence/dashboard-real-time-create.md#add-a-fabric-maps-tile-preview).|

523474 |August 2026|**Real-Time Dashboard KPI visualization (Generally Available)**|[The KPI visualization in Real-Time Dashboards is now generally available](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Monitor-key-metrics-at-a-glance-with-the-new-KPI-visualization/ba-p/5360033), providing at-a-glance metrics with goals, status indicators, trends, and conditional formatting. For more information, see [Customize Real-Time Dashboard visuals](../real-time-intelligence/dashboard-visuals-customize.md) and [Apply conditional formatting in Real-Time Dashboards](../real-time-intelligence/dashboard-conditional-formatting.md).|

524475 |August 2026|**Eventstream workspace monitoring with per-eventstream control (Preview)**|[Workspace monitoring for Eventstreams](https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/monitor-your-eventstreams-with-workspace-monitoring-%E2%80%94-now-with-per-eventstream-c/5331185) lets you choose which eventstreams emit performance, error, and node-health data to three KQL tables in the workspace monitoring Eventhouse. For more information, see [Eventstream monitoring in Workspace Monitoring](../real-time-intelligence/event-streams/fabric-workspace-monitoring.md) and [Workspace Monitoring overview](workspace-monitoring-overview.md).|

525476 |August 2026|**Capacity Overview Events in Real-Time Hub (Generally Available)**|[Capacity Overview Events in Real-Time Hub (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Capacity-Overview-Events-in-Real-Time-Hub-Generally-Available/ba-p/5356729) stream capacity summary and state signals so you can monitor utilization and health, detect throttling or lifecycle changes, and trigger alerts or automated actions. For more information, see [Introduction to Azure and Fabric events](https://aka.ms/tutorial-capacity-overview-events) and [Explore Fabric capacity overview events](https://aka.ms/explore-capacity-overview-events).|

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535486 |July 2026|**Eventstream SQL operator (Generally Available)**|[The Eventstream SQL operator (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/What-s-New-in-Fabric-Eventstreams-2026-Q2-Edition/ba-p/5277663) lets you filter, aggregate, window, and route events with SQL, and adds multi-destination fan-out, event-time processing for late or out-of-order events, and built-in per-branch testing before you publish. For more information, see [Process events by using a SQL operator](../real-time-intelligence/event-streams/process-events-using-sql-code-editor.md).|

536487 |July 2026|**Workspace outbound access protection for Real-Time Intelligence (Preview)**|[Workspace outbound access protection (OAP) for Real-Time Intelligence (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Workspace-Outbound-Access-Protection-OAP-for-Real-Time/ba-p/5241179) extends workspace-level outbound network controls to Eventstream, Eventhouse, KQL QuerySet, Activator, Real-Time Dashboards, and Azure and Fabric events, so admins block unwanted outbound connections by default and allow only approved destinations through data connection rules. For more information, see [Workspace outbound access protection](../security/workspace-outbound-access-protection-overview.md).|

537488 |July 2026|**Fabric Eventstream connector updates**|[Fabric Eventstream connectors](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Supercharge-your-real-time-data-ingestion-What-s-new-in-Fabric/ba-p/5260314) mark private network (vNet/On-Prem) support, the Apache Kafka and Azure Service Bus source connectors, and custom CA and mTLS support across MQTT, Apache Kafka, AWS MSK, and Confluent Cloud for Apache Kafka as Generally Available, and introduce Preview support for enhanced IoT Hub connector metadata, an Oracle Database change data capture (CDC) source, and HTTP connector pagination. For more information, see [Add and manage an event source in an eventstream](../real-time-intelligence/event-streams/add-manage-eventstream-sources.md).|

538 −|June 2026|**Workspace outbound access protection for Azure and Fabric events (Preview)**|[Workspace outbound access protection (OAP) for Azure and Fabric events (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Secure-Azure-and-Fabric-Event-Flows-Across-Workspaces-with/ba-p/5240305) extends outbound network controls to cross-workspace event consumption, so Activator alerts, Eventstreams, and other consumers in a protected workspace can only receive events from other workspaces when the Real-Time Events connector is added to the workspace's data connection rules. For more information, see [Tenant private links for Azure and Fabric events](../real-time-hub/private-links-real-time-events.md).|

539 −|June 2026|**Real-Time Dashboards Live Refresh (Generally Available)**|[Live Refresh for Real-Time Dashboards (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Live-refresh-for-Real-Time-Dashboards-Generally-Available/ba-p/5194911) pushes new data to dashboard tiles as soon as it lands, replacing periodic refresh polling with always-current visualizations. For more information, see [Create a Real-Time Dashboard](../real-time-intelligence/dashboard-real-time-create.md).|

540 −|June 2026|**Eventstream streaming connectors for Apache Kafka and Azure Service Bus (Generally Available)**|[Eventstream Apache Kafka and Azure Service Bus streaming connectors (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId-456534603) provide hardened reliability, broader authentication support (SASL_SSL, SASL_PLAINTEXT, Microsoft Entra), and production-ready throughput for ingesting Kafka topics and Service Bus queues into Fabric Eventstream. For more information, see [Add Apache Kafka source to a Fabric eventstream](../real-time-intelligence/event-streams/add-source-apache-kafka.md) and [Add an Azure Service Bus source to an eventstream](../real-time-intelligence/event-streams/add-source-azure-service-bus.md).|

541 −|June 2026|**Business Events Capacity Consumption (Generally Available)**|Business Events capacity consumption is now metered through the standard Fabric capacity model, so publishing, routing, and consuming business events bills against your existing capacity SKU with no separate license. For more information, see [Business events overview (Preview)](../real-time-hub/business-events/business-events-overview.md) and [Microsoft Fabric Capacity Metrics app](https://aka.ms/fabric-capacity-metrics).|

542 −|June 2026|**Real-Time Dashboards powered by AI (Preview)**|[The redesigned Real-Time Dashboard tile editor (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/A-new-way-to-create-visuals-on-Real-Time-Dashboards-Preview/ba-p/5194484) is an AI-first experience where you choose a visual type and describe what you need in natural language, and Copilot generates the visualization for review without requiring KQL expertise. For more information, see [Create a Real-Time Dashboard](../real-time-intelligence/dashboard-real-time-create.md).|

543 −|June 2026|**Time Series Visualization in Real-Time Dashboards (Preview)**|[Real-Time Dashboard-specific visuals](../real-time-intelligence/dashboard-visuals.md) in Real-Time Dashboards adds dedicated capabilities for navigating, comparing, and customizing time-based data, including a legend search bar, pin-and-overlay for series comparison, multiple aligned-time panels, flexible Y-axis scaling, color assignment, and zoom with a time slider.|

544 −|June 2026|**Extended IoT Hub source Eventstream connector (Preview)**|[Extended Azure IoT Hub source connector (Preview)](https://aka.ms/iothubextendedconn) in Fabric Eventstream preserves all event metadata, including system properties (prefixed with `___src__`) and user-defined application properties, so you can join device identity with telemetry, compute ingestion latency, and route events by device. For more information, see [Add Azure IoT Hub source to an eventstream](../real-time-intelligence/event-streams/add-source-azure-iot-hub.md).|

545 −|June 2026|**Pagination support for Eventstream HTTP connector (Preview)**|You can [add an HTTP source to an eventstream (preview)](../real-time-intelligence/event-streams/add-source-http.md) to ingest paginated REST API responses through page-based or cursor-based pagination, eliminating custom orchestration when bringing activity logs, audit records, or operational events into Eventstream.|

546 −|June 2026|**Fabric Graph (Generally Available)**|[Graph in Microsoft Fabric](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Graph-in-Fabric-Generally-Available/ba-p/5190748) helps you model, visualize, and analyze complex relationships within your data. It's a scalable, enterprise-grade solution that turns disconnected data into AI-powered insights. By using graph, you can uncover hidden connections within your data and enhance decision-making capabilities. For more information, see [Graph in Microsoft Fabric overview](../graph/overview.md).|

547 −|June 2026|**Activator as business events publisher (Preview)**|Activator provides a no-code way to publish business events in Microsoft Fabric. When Activator detects that a condition is met in your data, it can emit a structured business event into Real-Time hub, making that signal discoverable, routable, and consumable by your entire organization. For more information, see [What is Fabric Activator?](../real-time-intelligence/data-activator/activator-introduction.md) and [Business events overview (Preview)](../real-time-hub/business-events/business-events-overview.md).|

548 −|June 2026|**Business events persisted into Eventhouse (Preview)**|Eventhouse is enabled by default when you create a business event in Real-Time hub. Each business event maps to a dedicated KQL table in your eventhouse database, and every published event is automatically ingested and retained. For more information, see [Business events overview (Preview)](../real-time-hub/business-events/business-events-overview.md).|

549 −|June 2026|**Activator rule actions: Copy job and Publish a business event (Preview)**|Activator rules now support two new actions: Copy job (preview) for copying data between sources and destinations, and Publish a business event (preview) for triggering downstream processes that consume business events. For more information, see [Configure actions for Activator rules](../real-time-intelligence/data-activator/rule-actions.md).|

550 −|June 2026|**Activator rules for OneLake items (Preview)**|In the Fabric portal, you can create and manage Activator rules for OneLake items using Fabric Activator. These rules allow you to automate actions based on specific events or conditions related to OneLake items, such as when a file is created or deleted. You can also create rules based on the status of processes that interact with OneLake items, such as pipelines, Spark jobs, and notebooks. For more information, see [Trigger Fabric items](../real-time-intelligence/data-activator/activator-trigger-fabric-items.md).|

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553490 For older updates, review the [Microsoft Fabric What's New archive](whats-new-archive.md#real-time-intelligence-in-microsoft-fabric).

554491

555492 #### Real-Time Intelligence samples and guidance

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560497 |**Month** | **Feature** | **Learn more** |

561498 |:-- |:-- | :-- |

499 +|August 2026|**Business Event consumer guidance**|[Reacting to Business Events with Activator and Eventhouse](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Reacting-to-Business-Events-with-Activator-and-Eventhouse/ba-p/5361410) explains when to use Activator for immediate action, Eventhouse for durable analysis, or both for independent consumers. For more information, see [Business events overview](../real-time-hub/business-events/business-events-overview.md).|

500 +|August 2026|**Business Event scenario patterns**|[Five Business Event scenarios](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Five-Business-Event-scenarios-and-the-pattern-they-share/ba-p/5361411) show how a workload detects a condition, publishes a schema-defined event, and routes it to Activator or Eventhouse. For more information, see [Create Business Events](../real-time-hub/business-events/create-business-events.md).|

501 +|August 2026|**Private Eventstream source guidance**|[Private Eventstream source guidance](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/From-factory-floor-to-Fabric-Securely-stream-private-data-with/ba-p/5362960) shows how Eventstream uses a streaming virtual network data gateway to connect to private or on-premises sources without a public endpoint. For more information, see [Eventstream streaming connector virtual network and on-premises support](../real-time-intelligence/event-streams/streaming-connector-private-network-support-guide.md).|

562502 |August 2026|**Publish Business Events from Fabric workloads**|[Publishing Business Events from Fabric workloads](https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/publishing-business-events-from-fabric-workloads/5359124) explains how to publish a versioned, schema-valid signal from the notebook, User Data Function, Eventstream, or Activator that detects the business condition. For more information, see [Microsoft Spark utilities](../data-engineering/microsoft-spark-utilities.md) and [Real-Time Hub overview](../real-time-hub/real-time-hub-overview.md).|

563503 |August 2026|**Choose an event pillar**|The easiest way to understand Fabric eventing is not to start with the consumer. Start with the publisher. Who is saying that something happened? That answer determines which Fabric event pillar you use. [Business Events, Fabric Events, and Azure Events](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Choose-the-right-event-pillar-in-Microsoft-Fabric-Business/ba-p/5331534) serve different publishers and consumers: your workloads publish Business Events, Fabric publishes platform events, and Azure Storage publishes Azure Events. For more information, see [Business events overview](../real-time-hub/business-events/business-events-overview.md) and [Fabric events overview](../real-time-hub/fabric-events-overview.md).|

564504 |August 2026|**Design a Business Event schema**|A [Business Event schema](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Design-a-Business-Event-schema-that-consumers-can-act-on/ba-p/5331546) uses a clear, factual, versioned contract so publishers and consumers share the meaning of each event while evolving independently. For more information, see [Real-Time Hub overview](../real-time-hub/real-time-hub-overview.md) and [Business events overview](../real-time-hub/business-events/business-events-overview.md).|

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569509 |July 2026|**Customer-intent streaming pattern**|[Customer-intent streaming pattern](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Intelligent-streaming-Turning-customer-intent-into-revenue-with/ba-p/5317223) shows how you capture CDC events in Eventstream, reshape them with DeltaFlow (Preview), enrich micro-batches with AI Functions, publish Business Events, and activate responses while the signal remains current. For more information, see [AI Functions for PySpark reference](../data-science/ai-functions/overview.md) and [Business events overview](../real-time-hub/business-events/business-events-overview.md).|

570510 |July 2026|**Row-to-intelligent-action with DeltaFlow and AI functions**|[Real-time game-day operations with Eventstreams, Spark, and AI functions](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Intelligent-streaming-Real-time-game-day-operations-with-Fabric/ba-p/5287533) walks through a stadium operations scenario that captures database changes with a CDC source, reshapes them with DeltaFlow (Preview), and uses AI functions in a Spark Structured Streaming notebook to classify each request by meaning and route actionable items to the right team in seconds. For more information, see [DeltaFlow output transformation (preview)](../real-time-intelligence/event-streams/delta-flow-output-transformation.md).|

571511 |July 2026|**Row-to-action pattern with Mirrored Database change feeds**|[Turning Mirrored Database change feeds into real-time action](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/From-Mirrored-Database-to-Real-Time-Action-A-Fabric-Eventstreams/ba-p/5274750) walks through a manufacturing quality scenario that mirrors an operational database into OneLake, streams Delta Change Data Feed changes into an Eventstream, filters and windows failed inspections with SQL operators, then routes them to Activator for alerts and to Eventhouse for live KQL dashboards. For more information, see [Add Mirrored Database (Change Feed) source to an eventstream](../real-time-intelligence/event-streams/add-source-mirrored-database-change-feed.md).|

572 −|June 2026|**Real-time weather monitoring with Eventstream AI Skills**|[Building a real-time weather monitoring system with AI and Fabric Eventstream](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Monitoring-weather-conditions-in-real-time-using-AI-and-Fabric/ba-p/5197906) walks through using Eventstream AI Skills to generate an 11-source eventstream from a single natural-language prompt that ingests real-time weather, filters for heat-stress conditions, and lands events in an Eventhouse KQL database for cross-venue KQL analysis. For more information, see [Overview of Microsoft Fabric eventstreams](../real-time-intelligence/event-streams/overview.md) and [Eventhouse overview](../real-time-intelligence/eventhouse.md).|

573 −|June 2026|**Analyze Business Events in Eventhouse and Real-Time Dashboards (Preview)**|[Analyzing Business Events in Eventhouse and Real-Time Dashboards (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Analyze-Your-Business-Events-in-Eventhouse-and-Real-Time/ba-p/5190245) walks through how every published business event lands in a dedicated KQL table in Eventhouse by default, so you can run historical KQL queries, correlate signals across event types, and connect a Real-Time Dashboard for live operational monitoring without extra pipelines. For more information, see [Business events overview (Preview)](../real-time-hub/business-events/business-events-overview.md).|

574 −|June 2026|**Activator as a Business Event Publisher (Preview)**|[Using Activator as a Business Event publisher (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Turn-insights-into-signals-with-Activator-as-a-Business-Event/ba-p/5190248) shows how Activator rules in Power BI reports, Real-Time Dashboards, KQL queries, and Fabric Warehouse SQL queries emit structured, governed business events into Real-Time hub, so signals are persistent, discoverable, and consumable across your organization. For more information, see [What is Fabric Activator?](../real-time-intelligence/data-activator/activator-introduction.md) and [Business events overview (Preview)](../real-time-hub/business-events/business-events-overview.md).|

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576513 <a id="fabric-iq-preview"></a>

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579516

580517 ## Fabric IQ

581518

582 −This section summarizes recent improvements and features for [Fabric IQ workload](../iq/overview.md).

519 +This section summarizes recent improvements and features for the [Fabric IQ workload](../iq/overview.md).

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584521 |**Month** | **Feature** | **Learn more** |

585522 |:-- |:-- | :-- |

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587524 |July 2026|**Fabric IQ conversational analytics**|[Fabric IQ conversational analytics](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/The-future-of-conversational-analytics-in-Fabric/ba-p/5302562) lets you ask questions over governed Power BI semantic models in Microsoft 365 Copilot Chat and Copilot Cowork, and use data agents for specialized analysis. For more information, see [What is Fabric IQ?](../iq/overview.md) and [Fabric IQ in Microsoft 365 Copilot Chat](../iq/connectors/microsoft-365-copilot-overview.md).|

588525 | July 2026 | **Planning (Generally Available)** | [Planning in Fabric IQ (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-Enterprise-planning-to-the-AI-Era-with-Planning-in/ba-p/5326315) is a unified no-code platform for collaborative planning, reporting, analytics, data integration, and management. For more information, see [What is planning in Fabric?](../iq/plan/overview.md) |

589526 |July 2026|**Fabric data agent public API**|[The Fabric data agent public API](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-data-agent-API-is-now-public-Build-Fabric-data-agents/ba-p/5230588) lets you manage data sources and data agents programmatically from local development, CI/CD pipelines, internal portals, containers, Azure Functions, and backend services. For more information, see [Fabric data agent concepts](../data-science/concept-data-agent.md) and [Fabric data agent SDK](https://aka.ms/fabric/data-agent/sdk/docs).|

590 −|June 2026|**Operations agent (Generally Available)**|[Operations agent (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advancing-autonomous-action-with-operations-agent-Generally/ba-p/5192046) is an autonomous agent that monitors your data with Real-Time Intelligence, reasons over your Fabric IQ ontology, and, with your approval, runs pipelines, notebooks, user data functions, and Power Automate flows, with Teams notifications, full tracing and audit, and Microsoft Agent 365 and Microsoft Entra ID governance. For more information, see [Create and configure operations agents](../real-time-intelligence/operations-agent.md).|

591 −|June 2026|**Billing for Planning in Fabric (Preview)**|[Billing for Planning in Fabric (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Billing-for-Microsoft-Fabric-Planning-Preview/ba-p/5207643) uses a hybrid model that combines role-based and session-based pricing for Planners, Stakeholders, and Viewers with job-based pricing for automated operations such as data sync and planning sheet updates. A session ties a user, role, and capacity to a 30-day window, and all usage meters against the unified Fabric capacity-unit (CU) model.|

592 −|June 2026|**Data agents in Microsoft 365 Copilot (Generally Available)**|[Fabric Data Agents in Microsoft 365 Copilot (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId-1475309270) lets business users discover and chat with governed Fabric data sources directly inside Microsoft 365 Copilot, with admin-managed publishing and Entra ID-enforced data permissions. For more information, see [Fabric data agent concepts](../data-science/concept-data-agent.md).|

593 −|June 2026|**Observability for Fabric Data Agent in Microsoft Foundry (Preview)**|[Observability for Fabric Data Agent in Microsoft Foundry (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-June-2026-Feature-Summary/ba-p/5190690#toc-hId--1012203563) surfaces telemetry for every call to a Fabric Data Agent used as a tool inside a Foundry agent, including latency, status, and error details, so agent builders can debug and monitor production agents. For more information, see [Fabric data agent concepts](../data-science/concept-data-agent.md).|

594 −|June 2026|**Build Agent with AI (Preview)**|The [Build agent with AI (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Build-agent-with-AI-for-Data-Agent-Preview/ba-p/5351116) feature is an AI-assisted creation experience that generates and refines Fabric Data Agent configurations through an interactive workflow, replacing manual setup with schema- and conversation-aware recommendations for agent instructions, data source guidance, and example queries; the preview focuses on SQL and Eventhouse scenarios. For more information, see [Fabric data agent concepts](../data-science/concept-data-agent.md).|

595 −|June 2026|**Improved NL2SQL Engine for Fabric Data Agent (Preview)**|[Improved NL2SQL Engine (Preview)](https://aka.ms/data-agent-nl2sql) for Fabric Data Agent improves accuracy, transparency, and resilience when translating natural language to SQL across lakehouses, warehouses, and mirrored databases. It uses example queries to follow patterns, asks clarifying questions when intent is ambiguous, and surfaces structured diagnostics. For more information, see [Fabric data agent concepts](../data-science/concept-data-agent.md).|

596 −|June 2026|**Code Interpreter Tool for Fabric Data Agent (Preview)**|[Code Interpreter Tool (Preview)](https://aka.ms/data-agent-code-interpreter) in Fabric Data Agent runs Python directly inside agent workflows so the agent goes beyond database queries to perform statistical analysis, forecasting, cohort analysis, and rich Python visualization. For more information, see [Fabric data agent concepts](../data-science/concept-data-agent.md).|

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598528 For older updates, see the [Microsoft Fabric What's New archive](whats-new-archive.md#fabric-iq).

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