Fabric changes

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Microsoft's edit · 9 Sep 03:46 UTC

Fabric august 2026 whats new digest (#16331)

Microsoft's commit message in MicrosoftDocs/fabric-docs · commit 91e4905 · +47 −4 lines · also on GitHub

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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: 09/01/2026

6 +ms.date: 09/08/2026

77 ms.update-cycle: 30-days

88 ms.topic: whats-new

99 ms.collection:

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4141 |**Advanced DAX generation for semantic models (Preview)**|[Advanced DAX generation for Fabric data agents (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advanced-DAX-generation-for-semantic-models-in-Fabric-data/ba-p/5363136) lets a data agent plan its approach, inspect semantic model values and intermediate results, refine its reasoning, and execute a final DAX query before answering. For more information, see [Fabric data agent runtime](../data-science/data-agent-runtime.md) and [Semantic model best practices for data agent](../data-science/semantic-model-best-practices.md).|

4242 |**Advanced edit for data destination queries in Dataflow Gen2 (Preview)**|You can now use [advanced edit for data destination queries in Dataflow Gen2](../data-factory/dataflow-gen2-advanced-edit-data-destinations.md) to modify destination-side query logic directly in authoring.|

4343 |**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).|

44 −|**AI functions in Fabric Data Warehouse (preview)**| Fabric Data Warehouse now brings AI directly into T-SQL, enabling you to categorize and classify text, analyze sentiment, extract structured information, translate text across languages, and even correct grammar - all using built-in AI functions. To get started, see [Use AI functions in Fabric Data Warehouse (preview)](../data-warehouse/ai-functions.md).|

4544 |**AI Functions multimodal support (Preview)**|AI Functions apply one-line, LLM-powered transformations to large pandas or PySpark DataFrames with high concurrency by default. For more information, see [Use multimodal input with AI Functions (Preview)](../data-science/ai-functions/multimodal-overview.md).|

4645 |**ALTER COLUMN for Fabric Data Warehouse (Preview)**|[ALTER TABLE ... ALTER COLUMN (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Simplify-Schema-Changes-in-Fabric-Data-Warehouse-with-ALTER/ba-p/5177593) lets you make supported schema changes directly on warehouse tables with familiar T-SQL syntax. Supported scenarios complete as metadata-only updates without rewriting Parquet files. For more information, see [ALTER TABLE (Transact-SQL) syntax for warehouse in Fabric](/sql/t-sql/statements/alter-table-transact-sql?view=fabric&preserve-view=true#syntax-for-warehouse-in-fabric).|

4746 |**ALTER DATABASE SET options in SQL database** | `ALTER DATABASE SET` options in SQL database are now available as a preview feature. For more information, see [ALTER DATABASE SET options (Transact-SQL)](/sql/t-sql/statements/alter-database-transact-sql-set-options?view=fabric-sqldb&preserve-view=true) for SQL database in Fabric. Collation support and full-text indexing are also now available in SQL database as preview features.|

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6059 |**Bulk import and export items definition (Preview)**|[Bulk import and export APIs (Preview)](https://blog.fabric.microsoft.com/blog/public-apis-bulk-import-and-export-items-definition-preview?ft=All) enable workspace migration, CI/CD deployment, metadata backup, and template provisioning by exporting and importing Fabric item definitions in bulk via the REST API. For more information, see [Items API reference](/rest/api/fabric/core/items).|

6160 |**Business Events in Real-Time Intelligence (Preview)**|[Business Events (Preview)](https://blog.fabric.microsoft.com/blog/business-events-in-microsoft-fabric-preview?ft=All) capture critical business moments from User Data Functions and Notebooks and enable actions via Activator alerts, custom logic, workflows, AI models, Spark jobs, dataflows, and Power Automate. For more information, see [Business events overview (Preview)](../real-time-hub/business-events/business-events-overview.md).|

6261 |**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).|

62 +|**Capacity Operation Events in Real-Time Hub (Preview)**|[Capacity Operation Events in Real-Time Hub (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Capacity-Operation-Events-in-Real-Time-Hub-Preview/ba-p/5364092) provide operation-level telemetry for capacity consumption, duration, throttling, workspaces, and items. For more information, see [Explore Fabric capacity operation events](../real-time-hub/explore-fabric-capacity-operation-events.md).|

6363 |**Capacity overage (Preview)**|[Capacity overage (Preview)](https://blog.fabric.microsoft.com/blog/introducing-capacity-overage-preview-flexibility-when-you-need-it-most?ft=All) is an opt-in capability that automatically bills for excess capacity usage during compute spikes instead of throttling, with admin-configurable limits per 24-hour window. For more information, see [Capacity overage (preview) in Microsoft Fabric](../enterprise/capacity-overage-overview.md).|

6464 |**Centralized data governance in the OneLake catalog (Preview)**|A new [centralized data governance experience in the OneLake catalog](https://blog.fabric.microsoft.com/blog/fabric-february-2025-feature-summary?ft=All#post-19077-_Toc250850506) is in preview. Data owners can view aggregated insights on the items they created, consider improving their governance by taking recommended actions, and access more information along with all available tools in Fabric.|

6565 |**Change event streaming in SQL database in Fabric (Preview)**|Change event streaming (CES) captures row-level DML changes (inserts, updates, and deletes) in SQL database in Fabric 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).|

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6969 |**Configurable Data Retention in Fabric Data Warehouse (Preview)**|[Configurable data retention (Preview) in Fabric Data Warehouse](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Configurable-Data-Retention-in-Microsoft-Fabric-Warehouse/ba-p/5181211) lets you set the data history retention window for a warehouse between 1 and 120 days with a single T-SQL command. This retention period governs time travel, point-in-time clones, restore points, and warehouse snapshots. For more information, see [Data retention in Fabric Data Warehouse (Preview)](../data-warehouse/data-retention.md).|

7070 |**Continuous ingestion from Azure Storage to Eventhouse (Preview)**|You can now use [continuous ingestion from Azure Storage to Eventhouse (preview)](https://blog.fabric.microsoft.com/blog/continuous-ingestion-from-azure-storage-to-eventhouse-preview?ft=All) to automatically and efficiently ingest data from Azure Storage into Eventhouse. For more information, see [Get data from Azure Storage](../real-time-intelligence/get-data-azure-storage.md).|

7171 |**Copilot in Fabric is available worldwide**|[Copilot in Fabric is now available](https://blog.fabric.microsoft.com/blog/copilot-in-fabric-preview-is-available-worldwide) to all customers. For more information on release status, see [Release status of AI and Copilot experiences in Fabric](copilot-ai-feature-state.md). |

72 +|**Copy and share warehouse SQL queries with context (Preview)**|You can now [copy and share warehouse SQL queries with context (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advancing-the-Microsoft-Fabric-SQL-Query-Editor/ba-p/5364033). You can paste a query with its results or generate a link that opens the query in another tool.|

7273 |**Copy job support for change data capture (CDC) (Preview)**|[Change Data Capture (CDC) in Copy Job](https://blog.fabric.microsoft.com/blog/fabric-may-2025-feature-summary?ft=All#post-23234-_Toc198140724) is a powerful capability in Data Factory Data pipelines that enables efficient and automated replication of changed data including inserted, updated, and deleted records from a source to a destination.|

7374 |**Create AI Auto-Description for Semantic Models (Preview)**|[Auto-Description for Semantic Models (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-April-2026-Feature-Summary/ba-p/5176490) uses Copilot to generate clear descriptions for semantic models from the model's metadata and structure, which model owners and contributors can review, edit, and regenerate directly from the semantic model details page in the OneLake catalog. For more information, see [OneLake catalog overview](../governance/onelake-catalog-overview.md).|

7475 |**Custom authorization for API for GraphQL (Preview)**|[Authorizer User Data Functions for API for GraphQL (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Custom-authorization-for-API-for-GraphQL-in-Microsoft-Fabric/ba-p/5182352) let you attach a User Data Function that runs before each GraphQL operation and evaluates request context such as tenant ID, role, or token claims to allow, restrict, or deny access based on your own policy logic. For more information, see [What is Microsoft Fabric API for GraphQL?](../data-engineering/api-graphql-overview.md) and [Create a Fabric User data functions item](../data-engineering/user-data-functions/create-user-data-functions-portal.md).|

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8283 |**Data Factory SharePoint data source site picker (Preview)**|The [SharePoint Site Picker (Preview)](https://blog.fabric.microsoft.com/blog/sharepoint-site-picker-for-easily-connecting-sharepoint-data-in-microsoft-fabric-preview?ft=All) replaces manual URL entry with a browsable, searchable dropdown for selecting SharePoint sites across Dataflow Gen2, Pipelines, Copy job, and Lakehouse shortcuts. For more information, see [SharePoint Folder connector](/power-query/connectors/sharepoint-folder).|

8384 |**Data protection: DLP restrict access for structured data in OneLake (Preview)**|[Expanded DLP restrict access (Preview)](https://blog.fabric.microsoft.com/blog/new-data-protection-capabilities-in-microsoft-fabric-native-security-for-the-modern-data-estate?ft=All) covers all structured data in OneLake including SQL databases, KQL databases, and warehouses. For more information, see [DLP restrict access](https://aka.ms/purlovedlpfabric).|

8485 |**Data protection: DSPM for AI for Fabric Copilots and data agents (Preview)**|[Data Security Posture Management (DSPM) for AI for Fabric (Preview)](https://blog.fabric.microsoft.com/blog/new-data-protection-capabilities-in-microsoft-fabric-native-security-for-the-modern-data-estate?ft=All) monitors Copilot and data agent interactions to detect sensitive information in AI prompts and responses, investigate risky AI behavior, and apply governance through Purview Audit and eDiscovery. For more information, see [DSPM for AI in Fabric](/purview/ai-copilot-fabric).|

85 −|**Data Warehouse Monitor (Preview)**|[Data Warehouse Monitor (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Data-Warehouse-Monitor-A-Unified-Monitoring-Experience-for/ba-p/5180024) (previously Query Activity) is a unified monitoring UI for Fabric Data Warehouse that shows active and historical queries side by side, supports cross-execution performance analysis powered by Query Insights, and lets you cancel long-running queries with one click. For more information, see [Monitor T-SQL queries (Preview)](../data-warehouse/monitor.md).|

8686 |**Dataflow Gen2 diagnostics download (Preview)**|[Dataflow Gen2 diagnostics download (Preview)](https://blog.fabric.microsoft.com/blog/dataflow-gen2-dataflow-diagnostics-download-preview?ft=All) lets you download run-level diagnostic packages with structured logs and execution details for faster root-cause analysis and support collaboration. For more information, see [View refresh history and monitor your dataflows](../data-factory/dataflows-gen2-monitor.md).|

8787 |**Data replication from Lakehouse with Delta Change Feed (Preview)**|The Fabric Lakehouse Table connector provides changed data from a Fabric Lakehouse via Delta Change Data Feed (CDF), to supported destinations. For more information, see [Data Replication from Fabric Lakehouse with Delta Change Data Feed (Preview)](https://blog.fabric.microsoft.com/blog/september-2025-fabric-feature-summary?ft=All#post-28106-_Toc208595416).|

8888 |**dbt Job in Fabric Data Factory (Preview)**|A [dbt Job in Fabric Data Factory](https://blog.fabric.microsoft.com/blog/dbt-job-in-microsoft-fabric-ship-trustworthy-sql-models-faster-preview) lets you author, schedule, and monitor dbt projects natively with serverless execution, integrated testing and documentation, and governance via Entra ID and SQL security policies. For more information, see [dbt job in Microsoft Fabric (preview)](../data-factory/dbt-job-overview.md).|

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9999 |**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?](../data-factory/what-is-copy-job.md)|

100100 |**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).|

101101 |**Fabric Activator integration in Fabric User Data functions (Preview)**|[Fabric Activator integration with Fabric User Data functions (preview)](https://blog.fabric.microsoft.com/blog/whats-new-in-fabric-user-data-functions-ignite-2025-edition?ft=All) means you can create functions to process events from any source, including Fabric events and OneLake events. For more information, see [Trigger Fabric items](../real-time-intelligence/data-activator/activator-trigger-fabric-items.md).|

102 +|**Fabric Activator integration with warehouse SQL queries (Preview)**|[Fabric Activator integration with warehouse SQL queries (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advancing-the-Microsoft-Fabric-SQL-Query-Editor/ba-p/5364033) lets you define conditions on query results and trigger follow-up actions. For more information, see [Set alerts on warehouse queries](../real-time-intelligence/data-activator/set-alerts-warehouse-sql-query.md).|

102103 |**Fabric Admin APIs**|[Fabric Admin APIs](https://blog.fabric.microsoft.com/blog/microsoft-fabric-december-2023-update/#post-6543-_Toc153457404) are designed to streamline administrative tasks. The [initial set of Fabric Admin APIs](/rest/api/fabric/admin/items) is tailored to simplify the discovery of workspaces, Fabric items, and user access details. |

103104 |**Fabric Apps backend with the Rayfin SDK (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 lets developers and coding agents define a complete application backend in code—data models, APIs, identity, access policies, and business logic—and deploy it to Microsoft Fabric, where 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).|

104105 |**Fabric CLI in Azure DevOps (Preview)**|The [Fabric CLI in Azure DevOps (Preview)](https://blog.fabric.microsoft.com/blog/fabric-cli-in-azure-devops-automation-without-friction-preview?ft=All) provides the Fabric CLI (`fab`) as a built-in Azure DevOps pipeline task for automating workspace and item management without manual tool installation. Get started with the Fabric CLI (generally available) at [https://aka.ms/FabCLI](https://aka.ms/FabCLI).|

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106107 |**Fabric data agent enhanced visualizations (Preview)**|[Enhanced data agent visualizations with Fabric visuals (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Enhanced-data-agent-visualizations-with-Fabric-visuals-Preview/ba-p/5359686) let data agents return interactive Fabric charts and graphs alongside text and tables. For more information, see [Get visual responses from a Fabric data agent (preview)](../data-science/data-agent-visuals.md) and [Best practices for configuring your data agent](../data-science/data-agent-configuration-best-practices.md).|

107108 |**Fabric data agents evaluation with the Python SDK (Preview)**|You can now use [the Python SDK to programmatically evaluate Fabric data agents](https://blog.fabric.microsoft.com/blog/evaluate-your-fabric-data-agents-programmatically-with-the-python-sdk?ft=All). For more information, see [Consume a Fabric Data Agent in Microsoft Copilot Studio (preview)](../data-science/data-agent-microsoft-copilot-studio.md).|

108109 |**Fabric Data Agent integration with Azure AI Agent Service (Preview)**|We're excited to launch the integration of data agents in Fabric with Azure AI Agent Service from Microsoft Foundry. To get started, see [Consume a Fabric Data Agent in Microsoft Copilot Studio (preview)](../data-science/data-agent-microsoft-copilot-studio.md). The [Fabric data agent SDK](https://pypi.org/project/fabric-data-agent-sdk/) is also available in preview.|

109 −|**Fabric Data Agent integration with Microsoft Copilot Studio (Preview)**|Fabric Data Agent is available in preview and can be added as an agent to your custom setup in Microsoft Copilot Studio. For more information, see [Fabric data agent integration with Microsoft Copilot Studio (preview)](https://blog.fabric.microsoft.com/blog/fabric-may-2025-feature-summary?ft=All#post-23234-_Toc198140712).|

110110 |**Fabric Data Factory Upsert table action in the Lakehouse Connector (Preview)**|The [Upsert (Preview) table action in the Lakehouse Connector](https://blog.fabric.microsoft.com/blog/on-premises-data-gateway-june-2025-release?ft=All) is in preview.|

111111 |**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).|

112112 |**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).|

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119119 |**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.|

120120 |**Folder REST API (Preview)**|You can now create and manage [workspace folders](workspaces-folders.md) in automation scenarios and integrate with other systems and tools. The [Folder Rest API is now in preview](https://blog.fabric.microsoft.com/blog/announcing-the-public-preview-of-folder-rest-api?ft=All). To get started, see [Fabric REST API Folders](/rest/api/fabric/core/folders).|

121121 |**Git developer experiences (Preview)**|[New Git developer experiences (Preview)](https://blog.fabric.microsoft.com/blog/introducing-new-git-developer-experiences-in-microsoft-fabric-preview?ft=All) add [branched workspaces](../cicd/git-integration/branched-workspace.md) for formal source-to-feature workspace relationships, [selective branching](https://aka.ms/AAz2i48) to branch out with only the items you need, and the ability to [Compare Code Changes](https://aka.ms/AAzydxy) for rich diff review before committing or syncing.|

122 +|**Git Integration Workspace Relation API (Preview)**|The [Workspace Relations API](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_3) lets automation create, query, update, and delete relationships between parent and branched workspaces. For more information, see [Development process using the Branch out experience](../cicd/git-integration/branched-workspace.md).|

122123 |**Google Lakehouse Runtime Catalog mirroring (Preview)**|[Google Lakehouse Runtime Catalog mirroring (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-your-Google-Lakehouse-Runtime-Catalog-data-to-OneLake/ba-p/5360492) brings Google-managed Iceberg catalog metadata into OneLake without copying data, so you can use the tables across Fabric workloads. For more information, see [Google Lakehouse Runtime Catalog mirroring](../mirroring/catalog-mirroring/google-lakehouse-runtime.md).|

123124 |**High Concurrency Support for the Fabric Livy API (Preview)**|[High Concurrency (HC) sessions for the Fabric Livy API (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/High-Concurrency-Support-for-the-Fabric-Livy-API-Scalable-Spark/ba-p/5178390) let multiple Spark workloads share a single managed Spark session with isolated REPLs, server-side session packing via `sessionTag`, parallel statement execution, and built-in surfacing in the Monitoring Hub. Up to five REPLs run per underlying Livy session. For more information, see [High concurrency support in the Fabric Livy API](../data-engineering/high-concurrency-livy.md) and [Get started with the Livy API for Fabric high concurrency sessions](../data-engineering/get-started-high-concurrency-livy.md).|

124125 |**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, available when you enable the Preview Fabric Data Agent Runtime. For more information, see [Fabric data agent concepts](../data-science/concept-data-agent.md).|

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165166 |**Real-Time Dashboards Time Series Visualization (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.|

166167 |**Real-Time Intelligence Cribl source (Preview)**|[Cribl source (Preview)](https://blog.fabric.microsoft.com/blog/expanding-real-time-intelligence-data-sources-with-cribl-source-preview?ft=All) enables real-time data to flow into Fabric Eventstream from diverse telemetry and log sources through Cribl Stream, including Syslog, Datadog Agent, Splunk, Open Telemetry, and edge-based sources, with simplified Kafka endpoint configuration in Real-Time Hub. For more information, see [Add Cribl source to an eventstream (preview)](../real-time-intelligence/event-streams/add-source-cribl.md).|

167168 |**Recent data in Dataflow Gen2 (Preview)**|[Recent data in Dataflow Gen2 (Preview)](https://blog.fabric.microsoft.com/blog/recent-data-get-back-to-your-data-faster-in-fabric-preview?ft=All) provides quick access to your most frequently used data items in the Power Query ribbon and Modern Get Data, letting you jump directly to recently used tables, files, folders, and databases without navigation. For more information, see [Get data experience](/power-query/get-data-ui) and [What is Dataflow Gen2?](../data-factory/dataflows-gen2-overview.md)|

169 +|**Reference data enrichment in Eventstream (Preview)**|[Reference data enrichment in Eventstream](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_36) joins streaming events with Delta reference tables from a lakehouse by using no-code or SQL-based enrichment. For more information, see [Reference data join in Eventstream using Lakehouse](../real-time-intelligence/event-streams/enrich-events-with-reference-data.md).|

168170 |**Materialized Lake View refresh features (Preview)**|The [Refresh Materialized Lake View activity in Fabric Data Factory pipelines](../data-factory/refresh-materialized-lake-view-activity.md) in Fabric Data Factory pipelines lets you refresh materialized lake views on demand or on a schedule within your pipeline orchestration. [Event-driven refresh for materialized lake views](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-July-2026-Feature-Summary/ba-p/5325823#toc-hId--281200875) triggers dependent materialized lake view refreshes when OneLake file events or pipeline and notebook job events occur. For more information, see [Schedule a materialized lake view refresh](../data-engineering/materialized-lake-views/schedule-lineage-run.md#create-a-refresh-configuration).|

169171 |**Resource Profiles in Fabric Data Engineering (Preview)**|[Resource Profiles in Fabric Data Engineering (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Resource-Profiles-in-Microsoft-Fabric-Data-Engineering-Preview/ba-p/5182862) are preconfigured Spark compute profiles—write-heavy, read-heavy for Spark, and read-heavy for Power BI—that you select per environment so Fabric applies workload-aware settings automatically without manual tuning of dozens of Spark properties. For more information, see [Configure Resource Profile Configurations](../data-engineering/configure-resource-profile-configurations.md).|

170172 |**REST APIs for connections and gateways (Preview)**|[REST APIs for connections and gateways are now in preview](https://blog.fabric.microsoft.com/blog/announcing-the-availability-of-rest-apis-for-connections-and-gateways-in-microsoft-fabric?ft=All). These new APIs allow developers to programmatically manage and interact with connections and gateways within Fabric.|

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180182 |**SQL database support for Tenant level private links (Preview)**|You can use [tenant level private links](../security/security-private-links-overview.md) to provide secure access for data traffic in Microsoft Fabric, including SQL database (in preview). For more information, see [Set up and use tenant-level private links](../security/security-private-links-use.md) and [Blog: Tenant Level Private Link (Preview)](https://blog.fabric.microsoft.com/blog/microsoft-fabric-january-2025-update?ft=All#post-18117-_Toc188889253). |

181183 |**Stream Mirrored Database change feeds into Eventstreams (Preview)**|[Mirrored Database change feed connector for Eventstreams (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Building-real-time-event-driven-applications-on-Mirrored/ba-p/5190893) streams Delta Change Data Feed (CDF) row-level inserts, updates, and deletes from a mirrored database directly into a Fabric Eventstream for low-latency, event-driven processing, with full source schema and change metadata fidelity and support for Azure SQL, Cosmos DB, Oracle, PostgreSQL, Snowflake, and Open Mirroring partners. For more information, see [Extended capabilities in mirroring for Fabric](../mirroring/extended-capabilities.md).|

182184 |**Time Travel using SQL analytics endpoint (Preview)**|[Time Travel using SQL analytics endpoint (Preview)](../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.|

185 +|**Upgrade Dataflow Gen1 to Dataflow Gen2 with the Upgrade Wizard (Preview)**|The [Dataflows Upgrade Wizard](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_47) upgrades one or more Dataflow Gen1 items in place while retaining their IDs, names, schedules, and connections. For more information, see [Upgrade Dataflow Gen1 to Dataflow Gen2 using the Upgrade Wizard](../data-factory/migrate-to-dataflow-gen2-using-upgrade-wizard.md).|

183186 |**Upsert to delta table with Lakehouse connector (Preview)**|We've added upsert support to the Lakehouse connector, allowing direct writes to Delta tables, in both Copy job and Copy activity within Pipeline. For more information, see [Configure Lakehouse in a copy activity](../data-factory/connector-lakehouse-copy-activity.md#destination).|

187 +|**Warehouse AI functions (preview)**| Fabric Data Warehouse now brings AI directly into T-SQL, enabling you to categorize and classify text, analyze sentiment, extract structured information, translate text across languages, and even correct grammar - all using built-in AI functions. To get started, see [Use AI functions in Fabric Data Warehouse (preview)](../data-warehouse/ai-functions.md).|

188 +|**Warehouse CI/CD 2.0 (Preview)**|[Warehouse item definition version 2.0](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_24) uses DacFx-based incremental extraction for Git integration and more accurate comparisons and deployment plans in deployment pipelines. For more information, see [Source control with Warehouse](../data-warehouse/development-deployment.md) and [Upgrade Fabric Data Warehouse system files](../data-warehouse/upgrade-warehouse.md).|

184189 |**Warehouse custom SQL pools (preview)**|[Custom SQL pools (Preview)](https://blog.fabric.microsoft.com/blog/custom-sql-pools-for-fabric-data-warehouse-preview?ft=All) give workspace administrators fine-grained control over SQL compute resource allocation, enabling you to define pools, assign percentage-based compute, and route queries by application name. For more information, see [Custom SQL pools](../data-warehouse/custom-sql-pools.md).|

185190 |**Warehouse data clustering (Preview)**|Data clustering is a technique used to organize and store data based on similarity. Data clustering improves query performance and reduces compute and storage access costs for queries by grouping similar records together. For more information and to get started, see [Data clustering in Fabric Data Warehouse](../data-warehouse/data-clustering.md) and [Use data clustering in Fabric Data Warehouse (Preview)](../data-warehouse/tutorial-data-clustering.md).|

191 +|**Monitor for Fabric Data Warehouse (Preview)**|[Monitor for Fabric Data Warehouse (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Data-Warehouse-Monitor-A-Unified-Monitoring-Experience-for/ba-p/5180024) (previously Query Activity) is unified monitoring for Fabric Data Warehouse that shows active and historical queries side by side, supports cross-execution performance analysis powered by Query Insights, and lets you cancel long-running queries with one click. For more information, see [Monitor T-SQL queries in Fabric Data Warehouse (Preview)](../data-warehouse/monitor.md).|

186192 |**Warehouse source control (Preview)**|Using [Source control with Warehouse (preview)](../data-warehouse/development-deployment.md), you can manage development and deployment of versioned warehouse objects. You can use [SQL Database Projects extension](/sql/tools/visual-studio-code-extensions/sql-database-projects/sql-database-projects-extension) available inside of 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/).|

187193 |**Workspace monitoring (Preview)**|[Workspace monitoring (preview)](workspace-monitoring-overview.md) is a Microsoft Fabric database that collects data from a range of Fabric items in your workspace, and lets you access and analyze logs and metrics. For more information about this feature, see [Announcing preview of workspace monitoring](https://blog.fabric.microsoft.com/blog/announcing-public-preview-of-workspace-monitoring?ft=All).|

188194 |**Workspace Monitoring for Copy job (Preview)**|[Workspace Monitoring for Copy job (Preview)](https://blog.fabric.microsoft.com/blog/gain-full-visibility-into-your-copy-jobs-with-workspace-monitoring-in-microsoft-fabric-preview?ft=All) streams Copy job execution logs to a Monitoring Eventhouse with per-activity metrics including throughput, data volume, error codes, and timing for centralized observability. For more information, see [Workspace monitoring for Copy job](../data-factory/copy-job-workspace-monitoring.md).|

189195 |**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).|

196 +|**Workspace outbound access protection for Fabric Maps (Preview)**|[Workspace outbound access protection for Fabric Maps (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Workspace-Outbound-Access-Protection-OAP-for-Operations-Agent/ba-p/5363817) allows only approved map data sources and external geospatial services through workspace data connection rules. For more information, see [Workspace outbound access protection for Fabric Maps](../security/workspace-outbound-access-protection-fabric-maps.md).|

197 +|**Workspace outbound access protection for Operations Agent (Preview)**|[Workspace outbound access protection for Operations Agent](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Workspace-Outbound-Access-Protection-OAP-for-Operations-Agent/ba-p/5363817) applies workspace policies to outbound actions such as Teams notifications, workflow triggers, and cross-workspace operations. For more information, see [Workspace outbound access protection for Operations Agent](../security/workspace-outbound-access-protection-operations-agent.md).|

190198 |**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).|

191199 |**Zero-copy access to OneLake data in Azure Databricks (Preview)**|[OneLake catalog federation in Azure Databricks (Preview)](https://blog.fabric.microsoft.com/blog/zero-copy-access-to-onelake-data-in-azure-databricks-preview?ft=All) enables Unity Catalog to query Fabric data stored in OneLake without copying, keeping OneLake as the source of truth while allowing Databricks compute to analyze tables through synchronized metadata and zero-copy data access. For more information, see [Enable OneLake catalog federation](/azure/databricks/query-federation/onelake).|

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207 +|September 2026|**SQL query editor enhancements (Generally Available)**|[SQL query editor enhancements](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advancing-the-Microsoft-Fabric-SQL-Query-Editor/ba-p/5364033) add a faster results grid, scalable object explorer and IntelliSense, autosave controls, bulk query management, `.sql` file import and export, and integrations with OneLake analytics and semantic models. For more information, see [SQL query editor](../data-warehouse/sql-query-editor.md).|

208 +|September 2026|**Fabric networking communication policies Admin API (Generally Available)**|The [List Networking Communication Policies Admin API](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Get-tenant-wide-visibility-into-workspace-networking-policies/ba-p/5361690) provides a tenant-wide, paginated view of workspace inbound and outbound networking policies. For more information, see [List Networking Communication Policies](/rest/api/fabric/admin/workspaces/list-networking-communication-policies).|

209 +|September 2026|**ODBC to ADBC driver transition (Generally Available)**|[ADBC drivers for supported Power BI and Fabric connectors](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Start-validating-today-The-ODBC-to-ADBC-driver-transition-in/ba-p/5362917) are available for validation before they become the default and embedded ODBC drivers are disabled. For more information, see [Transition from ODBC to ADBC drivers](/power-query/transition-to-adbc).|

210 +|August 2026|**Activator rules in Eventstream (Generally Available)**|[Activator rules in Eventstream](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_43) let you create, edit, delete, and open alert rules without leaving Eventstream. For more information, see [Add a Fabric Activator destination to an eventstream](https://aka.ms/EventstreamAddRule).|

211 +|August 2026|**COPY INTO with workspace identity (Generally Available)**|[COPY INTO with workspace identity](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_28) lets Fabric Data Warehouse load approved data from OneLake or Azure Data Lake Storage Gen2 by using the workspace identity. For more information, see [Ingest data into your warehouse using the COPY statement](../data-warehouse/ingest-data-copy.md).|

212 +|August 2026|**Data-driven styling and map improvements (Generally Available)**|[Data-driven styling and map improvements](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_41) add value-based colors, data legends, marker rotation, traffic flow overlays, map view options, and improved layer settings to Fabric Maps. For more information, see [Customize a map in Microsoft Fabric](../real-time-intelligence/map/customize-map.md).|

213 +|August 2026|**Eventstream MQTT connector (Generally Available)**|The [Eventstream MQTT connector](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_35) connects MQTT brokers to Eventstream with TLS, mutual TLS, custom certificate authorities, and private network connectivity. For more information, see [Add an MQTT source to an eventstream](../real-time-intelligence/event-streams/add-source-mqtt.md).|

214 +|August 2026|**Fabric Data Agent integration with Microsoft Copilot Studio (Generally Available)**|[Fabric Data Agent integration with Microsoft Copilot Studio](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Data-Agents-in-Microsoft-Copilot-Studio-Generally/ba-p/5362882) adds a Fabric data agent to a Copilot Studio agent as a Fabric IQ Data MCP tool while retaining source permissions.|

215 +|August 2026|**Metadata Sync support for Delta Checkpoint V2 (Generally Available)**|[Metadata Sync support for Delta Checkpoint V2](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_27) lets both legacy and new Metadata Sync discover and synchronize Delta tables that use the Checkpoint V2 format. For more information, see [SQL analytics endpoint metadata synchronization](../data-engineering/sql-analytics-endpoint-metadata-sync.md).|

216 +|August 2026|**Set alerts from Anomaly Detector (Generally Available)**|[Set alerts directly from Anomaly Detector](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_32) lets you create an alert from a published anomaly detector configuration without switching to Real-Time Hub. For more information, see [Anomaly detection in Real-Time Intelligence](../real-time-intelligence/anomaly-detection.md).|

199217 |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).|

200218 |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).|

201219 |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).|

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261 +|September 2026|**Fabric Influencers Spotlight August 2026**|[Fabric Influencers Spotlight August 2026](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Influencers-Spotlight-August-2026/ba-p/5365378) highlights articles, videos, tools, and podcasts from Microsoft MVPs and Fabric Super Users.|

243262 |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).|

244263 |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).|

245264 |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.|

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262281 |**Month** | **Feature** | **Learn more** |

263282 |:-- |:-- | :-- |

283 +|September 2026|**Fabric networking communication policies Admin API (Generally Available)**|The [List Networking Communication Policies Admin API](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Get-tenant-wide-visibility-into-workspace-networking-policies/ba-p/5361690) provides a tenant-wide, paginated view of workspace inbound and outbound networking policies. For more information, see [List Networking Communication Policies](/rest/api/fabric/admin/workspaces/list-networking-communication-policies).|

284 +|August 2026|**Git Integration Workspace Relation API (Preview)**|The [Workspace Relations API](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_3) lets automation create, query, update, and delete relationships between parent and branched workspaces. For more information, see [Development process using the Branch out experience](../cicd/git-integration/branched-workspace.md).|

264285 |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).|

265286 |August 2026|**Item Recovery enabled by default**|[Item Recovery is enabled by default](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Enabling-Item-Recovery-by-default-in-Microsoft-Fabric/ba-p/5323843) beginning August 16, 2026, for tenants without an explicit setting, with a three-day retention window; existing settings remain unchanged, and admins can set retention from 3 to 90 days or disable recovery. For more information, see [Retention and recovery in Fabric](../admin/retention-recovery.md) and [OneLake consumption](../onelake/onelake-consumption.md).|

266287 |July 2026|**Spark job customer-managed keys**|[Customer-managed keys for Spark jobs](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Customer-managed-key-encryption-now-extends-to-Spark-jobs-in/ba-p/5323769) encrypt temporary local disk and shuffle data with your key so you control Spark processing-layer protection without changing jobs. For more information, see [Customer-managed keys for Fabric workspaces](../security/workspace-customer-managed-keys.md).|

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301322 |:-- |:-- | :-- |

323 +|September 2026|**ODBC to ADBC driver transition (Generally Available)**|[ADBC drivers for supported Power BI and Fabric connectors](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Start-validating-today-The-ODBC-to-ADBC-driver-transition-in/ba-p/5362917) are available for validation before they become the default and embedded ODBC drivers are disabled. For more information, see [Transition from ODBC to ADBC drivers](/power-query/transition-to-adbc).|

324 +|August 2026|**Modern Fabric Pipeline canvas (Preview)**|The [modern Fabric Pipeline canvas](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_46) improves navigation, layout, and responsiveness for pipelines with many activities and branches. For more information, see [Pipeline canvas experience](../data-factory/pipeline-canvas-experience.md).|

325 +|August 2026|**Upgrade Dataflow Gen1 to Dataflow Gen2 with the Upgrade Wizard (Preview)**|The [Dataflows Upgrade Wizard](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_47) upgrades one or more Dataflow Gen1 items in place while retaining their IDs, names, schedules, and connections. For more information, see [Upgrade Dataflow Gen1 to Dataflow Gen2 using the Upgrade Wizard](../data-factory/migrate-to-dataflow-gen2-using-upgrade-wizard.md).|

302326 |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).|

303327 |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).|

304328 |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.|

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317341 |:-- |:-- | :-- |

342 +|September 2026|**Manage Fabric connections at scale**|[Connection recency and Fabric REST APIs](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Manage-Fabric-connections-at-scale-with-connection-recency-in/ba-p/5363147) help you review potentially stale or duplicate connections and identify connections with a single owner. For more information, see [Data source management](../data-factory/data-source-management.md#connection-recency-preview) and the [Fabric connection management sample](https://github.com/microsoft/fabric-toolbox/tree/main/samples/fabric-connection-management).|

343 +|September 2026|**Private Snowflake connectivity for pipelines and Copy Jobs**|To use [private Snowflake connectivity for Fabric pipelines and Copy Jobs](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Connect-securely-to-Snowflake-in-Fabric-Pipelines-and-Copy-Jobs/ba-p/5363159) you need workspace-level private link, trusted workspace access to Azure Blob staging, and Snowflake private connectivity. For more information, see [Configure Snowflake in a copy activity](../data-factory/connector-snowflake-copy-activity.md) and [Set up workspace-level Private Links](../security/security-workspace-level-private-links-set-up.md).|

318344 |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).|

319345 |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).|

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369 +|August 2026|**Metadata Sync support for Delta Checkpoint V2 (Generally Available)**|[Metadata Sync support for Delta Checkpoint V2](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_27) lets both legacy and new Metadata Sync discover and synchronize Delta tables that use the Checkpoint V2 format. For more information, see [SQL analytics endpoint metadata synchronization](../data-engineering/sql-analytics-endpoint-metadata-sync.md).|

343370 |August 2026|**Fabric Runtime 2.0 (Generally Available)**|[Fabric Runtime 2.0 (Generally Available)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Runtime-2-0-Generally-Available/ba-p/5326359) includes Apache Spark 4.1, Delta Lake 4.2, Python 3.13, Java 21, Scala 2.13, and Azure Linux 3.0, and remains opt-in until its planned default rollout. For more information, see [Runtime 2.0 in Fabric](../data-engineering/runtime-2-0.md).|

344371 |August 2026|**Scheduled User Data Functions (Preview)**|[Scheduled User Data Functions (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Automate-recurring-business-logic-with-scheduled-User-Data/ba-p/5341912) run parameterized business logic on a recurring cadence through the Fabric job scheduler, with execution history available in the monitoring hub. For more information, see [User Data Functions overview](../data-engineering/user-data-functions/user-data-functions-overview.md) and [Schedule a User Data Function](../data-engineering/user-data-functions/schedule-functions.md).|

345372 |July 2026|**Native execution engine UDFs and complex types (Generally Available)**|In Fabric Data Engineering, [native execution engine support for Python UDFs, Scala UDFs, and complex data types](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-July-2026-Feature-Summary/ba-p/5325823#toc-hId-166136848) accelerates Spark processing with no changes to existing notebooks or jobs. For more information, see [Native execution engine UDF and complex type support](../data-engineering/native-execution-engine-udf-complex-types.md).|

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373400 |September 2026|**Advanced DAX generation for semantic models (Preview)**|[Advanced DAX generation for Fabric data agents (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advanced-DAX-generation-for-semantic-models-in-Fabric-data/ba-p/5363136) lets a data agent plan its approach, inspect semantic model values and intermediate results, refine its reasoning, and execute a final DAX query before answering. For more information, see [Fabric data agent runtime](../data-science/data-agent-runtime.md) and [Semantic model best practices for data agent](../data-science/semantic-model-best-practices.md).|

401 +|August 2026|**Fabric Data Agent integration with Microsoft Copilot Studio (Generally Available)**|[Fabric Data Agent integration with Microsoft Copilot Studio](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Data-Agents-in-Microsoft-Copilot-Studio-Generally/ba-p/5362882) adds a Fabric data agent to a Copilot Studio agent as a Fabric IQ Data MCP tool while retaining source permissions.|

374402 |August 2026|**Enhanced Fabric data agent visualizations (Preview)**|[Enhanced data agent visualizations with Fabric visuals (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Enhanced-data-agent-visualizations-with-Fabric-visuals-Preview/ba-p/5359686) let data agents return interactive Fabric charts and graphs alongside text and tables. For more information, see [Get visual responses from a Fabric data agent (preview)](../data-science/data-agent-visuals.md) and [Best practices for configuring your data agent](../data-science/data-agent-configuration-best-practices.md).|

375403 |August 2026|**Data source routing in Fabric data agents (Generally Available)**|[Data source routing in Fabric data agents](https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/data-source-routing-in-microsoft-fabric-data-agents-generally-available/5358696) selects the most relevant lakehouse, warehouse, semantic model, or KQL database for each question by using schema metadata, source descriptions, example queries, and routing rules. For more information, see [Configure a Fabric data agent](../data-science/data-agent-configurations.md) and [Provide example queries](../data-science/data-agent-example-queries.md).|

376404 |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).|

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429457 |:-- |:-- | :-- |

458 +|September 2026|**Monitor for Fabric Data Warehouse (Preview)**|[Monitor for Fabric Data Warehouse (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Data-Warehouse-Monitor-A-Unified-Monitoring-Experience-for/ba-p/5180024) (previously Query Activity) is unified monitoring for Fabric Data Warehouse that shows active and historical queries side by side, supports cross-execution performance analysis powered by Query Insights, and lets you cancel long-running queries with one click. For more information, see [Monitor T-SQL queries in Fabric Data Warehouse (Preview)](../data-warehouse/monitor.md).|

459 +|September 2026|**SQL query editor enhancements (Generally Available)**|[SQL query editor enhancements](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advancing-the-Microsoft-Fabric-SQL-Query-Editor/ba-p/5364033) add a faster results grid, scalable object explorer and IntelliSense, autosave controls, bulk query management, `.sql` file import and export, and integrations with OneLake analytics and semantic models. For more information, see [SQL query editor](../data-warehouse/sql-query-editor.md).|

460 +|September 2026|**Copy and share warehouse SQL queries with context (Preview)**|You can now [copy and share warehouse SQL queries with context (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advancing-the-Microsoft-Fabric-SQL-Query-Editor/ba-p/5364033). You can paste a query with its results or generate a link that opens the query in another tool.|

461 +|September 2026|**Fabric Activator integration with warehouse SQL queries (Preview)**|[Fabric Activator integration with warehouse SQL queries (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Advancing-the-Microsoft-Fabric-SQL-Query-Editor/ba-p/5364033) lets you define conditions on query results and trigger follow-up actions. For more information, see [Set alerts on warehouse queries](../real-time-intelligence/data-activator/set-alerts-warehouse-sql-query.md).|

462 +|August 2026|**Warehouse CI/CD 2.0 (Preview)**|[Warehouse item definition version 2.0](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_24) uses DacFx-based incremental extraction for Git integration and more accurate comparisons and deployment plans in deployment pipelines. For more information, see [Source control with Warehouse](../data-warehouse/development-deployment.md) and [Upgrade Fabric Data Warehouse system files](../data-warehouse/upgrade-warehouse.md).|

463 +|August 2026|**COPY INTO with workspace identity (Generally Available)**|[COPY INTO with workspace identity](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_28) lets Fabric Data Warehouse load approved data from OneLake or Azure Data Lake Storage Gen2 by using the workspace identity. For more information, see [Ingest data into your warehouse using the COPY statement](../data-warehouse/ingest-data-copy.md).|

430464 |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).|

431465 |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).|

432466 |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).|

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446480 |:-- |:-- | :-- |

481 +|September 2026|**Fabric Data Warehouse medallion architecture best practices**|[Fabric Data Warehouse medallion architecture best practices](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Data-Warehouse-best-practices-for-medallion-architectures/ba-p/5364080) cover batch writes, rerunnable Silver transformations, consumption-focused Gold models, platform defaults, and monitoring by layer. For more information, see [Fabric Data Warehouse performance guidelines](../data-warehouse/guidelines-warehouse-performance.md) and [Ingest data into a warehouse](../data-warehouse/ingest-data.md).|

447482 |September 2026|**Use AI functions with Power BI**|With [Fabric Data Warehouse AI functions and Power BI](https://www.linkedin.com/pulse/fabric-data-warehouse-ai-functions-power-bi-enrich-once-jovan-popovic-i2kyf/) you can enrich warehouse data with AI functions and analyze the results across Power BI reports. For more information, see [Use AI functions in Fabric Data Warehouse (preview)](../data-warehouse/ai-functions.md).|

448483 |August 2026|**Build bronze, silver, and gold warehouse layers**|[Building bronze, silver, and gold layers](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Building-the-Bronze-Silver-Gold-layers/ba-p/5360201) explains how to structure warehouse ingestion, transformation, and serving layers for progressively refined data. For more information, see [Ingest data with a copy activity](../data-warehouse/ingest-data-copy.md) and [Ingest data with Transact-SQL](../data-warehouse/ingest-data-tsql.md).|

449484 |August 2026|**Balance performance and cost with custom SQL pools**|[Using custom SQL pools to balance performance and cost](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Using-Custom-SQL-Pools-to-balance-performance-and-cost-in-Fabric/ba-p/5359735) explains how workload routing and pool allocation affect performance, concurrency, and capacity consumption. For more information, see [Configure custom SQL pools](../data-warehouse/configure-custom-sql-pools-portal.md).|

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481516 |:-- |:-- | :-- |

517 +|September 2026|**Capacity Operation Events in Real-Time Hub (Preview)**|[Capacity Operation Events in Real-Time Hub (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Capacity-Operation-Events-in-Real-Time-Hub-Preview/ba-p/5364092) provide operation-level telemetry for capacity consumption, duration, throttling, workspaces, and items. For more information, see [Explore Fabric capacity operation events](../real-time-hub/explore-fabric-capacity-operation-events.md).|

518 +|September 2026|**Workspace outbound access protection for Fabric Maps (Preview)**|[Workspace outbound access protection for Fabric Maps (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Workspace-Outbound-Access-Protection-OAP-for-Operations-Agent/ba-p/5363817) allows only approved map data sources and external geospatial services through workspace data connection rules. For more information, see [Workspace outbound access protection for Fabric Maps](../security/workspace-outbound-access-protection-fabric-maps.md).|

519 +|August 2026|**Activator rules in Eventstream (Generally Available)**|[Activator rules in Eventstream](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_43) let you create, edit, delete, and open alert rules without leaving Eventstream. For more information, see [Add a Fabric Activator destination to an eventstream](https://aka.ms/EventstreamAddRule).|

520 +|August 2026|**Data-driven styling and map improvements (Generally Available)**|[Data-driven styling and map improvements](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_41) add value-based colors, data legends, marker rotation, traffic flow overlays, map view options, and improved layer settings to Fabric Maps. For more information, see [Customize a map in Microsoft Fabric](../real-time-intelligence/map/customize-map.md).|

521 +|August 2026|**Eventstream MQTT connector (Generally Available)**|The [Eventstream MQTT connector](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_35) connects MQTT brokers to Eventstream with TLS, mutual TLS, custom certificate authorities, and private network connectivity. For more information, see [Add an MQTT source to an eventstream](../real-time-intelligence/event-streams/add-source-mqtt.md).|

522 +|August 2026|**Reference data enrichment in Eventstream (Preview)**|[Reference data enrichment in Eventstream](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_36) joins streaming events with Delta reference tables from a lakehouse by using no-code or SQL-based enrichment. For more information, see [Reference data join in Eventstream using Lakehouse](../real-time-intelligence/event-streams/enrich-events-with-reference-data.md).|

523 +|August 2026|**Set alerts from Anomaly Detector (Generally Available)**|[Set alerts directly from Anomaly Detector](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-August-2026-Feature-Summary/ba-p/5325824#community-5325824-mcetoc_1k0t9rh2l_32) lets you create an alert from a published anomaly detector configuration without switching to Real-Time Hub. For more information, see [Anomaly detection in Real-Time Intelligence](../real-time-intelligence/anomaly-detection.md).|

524 +|August 2026|**Workspace outbound access protection for Operations Agent (Preview)**|[Workspace outbound access protection for Operations Agent](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Workspace-Outbound-Access-Protection-OAP-for-Operations-Agent/ba-p/5363817) applies workspace policies to outbound actions such as Teams notifications, workflow triggers, and cross-workspace operations. For more information, see [Workspace outbound access protection for Operations Agent](../security/workspace-outbound-access-protection-operations-agent.md).|

482525 |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).|

483526 |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).|

484527 |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).|

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