{"data":[{"active":true,"blog_title":"What\u2019s next for Fabric IQ Ontology: The operational context that powers your AI agents (Preview)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/whats-next-for-fabric-iq-ontology-the-operational-context-that-powers-your-ai-ag/5172145","feature_description":"The Ontology migration experience helps existing Microsoft Fabric IQ Ontology users move from the earlier ontology version to the updated model and experience. Users receive onboarding and migration guidance so they can understand the transition and its effect on their ontology workflows. Supported guidance should be reviewed before migration; this release does not promise that every connected experience migrates without additional steps.","feature_name":"Migration to the updated Ontology experience","last_modified":"2026-09-25","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q3 2026","release_item_id":"c5b062b1-b8e6-4319-af42-c9369ccd032a","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Graph in Fabric (Generally Available)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Graph-in-Fabric-Generally-Available/ba-p/5190748","feature_description":"Fabric IQ brings Ontology and Graph together so customers can move from a shared business model to advanced relationship analysis. Customers can understand how business concepts connect, choose the data most relevant to their scenario, and use Graph for multi-step impact analysis, dependency exploration, and path-based questions.","feature_name":"Fabric Graph integration with Ontology: From shared business meaning to connected-data insights","last_modified":"2026-09-25","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q3 2026","release_item_id":"7ec29e0d-ad9d-f111-b8db-6045bd02b667","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"From insight to action: Bringing Fabric Activator into Ontology with Rules","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/from-insight-to-action-bringing-fabric-activator-into-ontology-with-rules/5172260","feature_description":"Rules for Ontology integrate with Fabric Activator so teams can monitor business entities and configure event-driven alerts. Users can define alerts against properties across instances of an entity type and use the resulting notifications or automated actions to respond to operational conditions. This helps operators monitor their business model without recreating its context in separate alert definitions. This entry records the previously shipped release; subsequent rule authoring, agent-query, and monitoring updates have separate milestones.","feature_name":"Rules for Ontology","last_modified":"2026-09-25","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q1 2026","release_item_id":"9c64d5e2-fdce-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Visualize and Explore Data with Real-Time Dashboards","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/visualize-and-explore-data-with-real-time-dashboards/5173172","feature_description":"Real-Time Dashboards currently supports a fixed set of native visualization types, which limits users when they have unique or complex data patterns to display. Visual Builder solves this by enabling on-demand generation of custom visualizations- combining AI-generated KQL queries with tailored HTML/JavaScript rendering- for any analytical need not covered by our native tile library","feature_name":"RTD AI based Visual Builder","last_modified":"2026-09-24","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q4 2026","release_item_id":"233c01f6-ba72-f111-ab0f-6045bd00f798","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Workspace-Level Private Link in Microsoft Fabric (Generally Available)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/workspace-level-private-link-in-microsoft-fabric-generally-available/5172560","feature_description":"Private link allows customers to connect to their SQL DBs via a private endpoint from the customer's virtual network. Workspace level private links will give customers the flexibility to use private link connection to specific workspace(s) which have high security requirements and contain sensitive data while their other workspace can be open to public.","feature_name":"Workspace level Private Link for SQL database","last_modified":"2026-09-24","product_id":"347da228-ea54-ef11-a317-0022480a694f","product_name":"SQL database","release_date":"Q3 2026","release_item_id":"744ac485-321d-f011-9989-000d3a302e4a","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"New metadata sync and more in SQL Analytics Endpoint (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/New-metadata-sync-and-more-in-SQL-Analytics-Endpoint-Preview/ba-p/5183137","feature_description":"New version of the metadata sync for SQL analytics endpoint built on a new architecture. This delivers,- Data refresh in seconds, not minutes- Ability to turn on this feature for a workspace- Support for v2 checkpoints (at GA)- Multiple performance improvements- Upgrade existing SQL Analytics Endpoints to new metadata sync (at GA)","feature_name":"SQL Analytics Endpoint - New Metadata sync","last_modified":"2026-09-23","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q2 2026","release_item_id":"511823c2-744d-f111-bec7-002248085b3f","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Monitor your Eventstreams with Workspace Monitoring \u2014 Now with per-Eventstream control (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Monitor-your-Eventstreams-with-Workspace-Monitoring-Now-with-per/ba-p/5331185","feature_description":"We are introducing workspace-level business continuity and disaster recovery for Eventstream in Microsoft Fabric Real-Time Intelligence, helping organizations maintain supported streaming operations when the primary Fabric region becomes unavailable. Eventstream participates in Fabric-managed workspace failover to a predetermined paired region, preserving the existing streaming topology and resuming supported data flows in the recovery region.With this capability, you can:- Prepare a geo-redundant workspace with secondary-region Eventstream infrastructure and replicated event data for supported scenarios.- Fail over the complete workspace to its paired region and continue using the recovered Eventstream topology without depending on the unavailable primary region.- Monitor replication health, synchronization status, and failover readiness to understand recovery risk and potential data loss.After failover, the recovered topology remains available for supported processing and monitoring, while topology changes are restricted until failback completes. This helps prevent configuration differences between regions and supports a controlled return to the primary region. Availability, recovery objectives, and supported sources and destinations may vary during preview and will be documented as coverage expands.","feature_name":"Workspace-Level Business Continuity and Disaster Recovery for Eventstream","last_modified":"2026-09-21","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2027","release_item_id":"e15d3bcf-0db6-f111-aaab-7ced8d70bf41","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Fabric Runtime 2.0 (Generally Available)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Runtime-2-0-Generally-Available/ba-p/5326359","feature_description":"Microsoft Fabric Runtime 2.1 updates the Apache Spark foundation to Spark 4.2 and Delta Lake 4.4, with Python 3.14, Scala 2.13, and Java 21. For supported workloads, the Native Execution Engine is enabled by default to provide acceleration without extra configuration, while documented opt-out and controlled fallback paths preserve compatibility.Runtime 2.1 also introduces a leaner built-in package baseline with PySpark and SparkR. Customers can add compatible optional Python and R libraries through Library Manager or a Fabric Environment, reducing package conflicts while preserving flexibility for data engineering and data science workloads. The Public Preview is targeted for January 31, 2027 and includes migration guidance, known limitations, and preview support information.","feature_name":"Runtime 2.1 (Spark 4.2 and Delta 4.4)","last_modified":"2026-09-17","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q1 2027","release_item_id":"a3c892bc-d7b2-f111-aaab-70a8a59cbac4","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Enhanced Monitoring for Spark High Concurrency Workloads in Microsoft Fabric","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/enhanced-monitoring-for-spark-high-concurrency-workloads-in-microsoft-fabric/5172618","feature_description":"This feature delivers a comprehensive Notebook Run Lineage experience for Spark applications, enabling data engineers to monitor and analyze complex notebook workflows with ease. It provides an at-a-glance view of all notebook run statuses, helps quickly identify root-cause failures across nested executions, and highlights performance bottlenecks. Users can filter and explore large execution graphs, access detailed error and run-level information, and view aggregated summaries of execution health and resource usage--all in one place.","feature_name":"Track and Manage Notebook Run Dependencies & Linage View","last_modified":"2026-09-17","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q1 2027","release_item_id":"71469140-3550-f111-bec7-6045bd00fc61","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Extracting deeper insights with Fabric Data Agents in Copilot in Power BI","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/extracting-deeper-insights-with-fabric-data-agents-in-copilot-in-power-bi/5172750","feature_description":"# Microsoft Copilot Integrated into Power BI and Microsoft FabricCopilot experiences have emerged across the applications people use every day, bringing AI closer to the work happening in each product. But this can also feel fragmented, with different entry points, separate conversations, and uncertainty about which Copilot agent to use.Our goal is to create a consistent Copilot experience that is available wherever people work. No one should have to leave the application they are using to find it. Microsoft Copilot should come into their experience, carry context with them, and connect to the specialized intelligence of each product.  This release will allow tenant admins the opportunity to choose Microsoft Copilot as an alternative to the Power BI standalone Copilot experience, bringing all of M365 into Power BI for licensed users.## One Familiar Place for Context and Trusted DataThis integration gives users one familiar place to bring together business context and trusted data. Shared conversation history lets them continue a discussion as they move between Microsoft Copilot experiences instead of starting over in each application.For someone starting in Power BI, a question no longer has to stop with the numbers in a report. A sales leader could use **Fabric IQ** to identify which regions are behind plan, then use **Work IQ** to connect the results with customer emails, meetings, account plans, and documents.They could summarize the complete picture and even kick off actions and tasks in **Cowork**, all from inside Power BI. This work context and ability to move directly from insight to action were not available in the standalone Power BI Copilot experience.## Administrator ControlsA new setting in the Fabric admin portal will determine whether this integration is available by enabling or disabling the entry point in the navigation pane.The setting will be **off by default**, giving administrators time to evaluate the experience before introducing it to their organization. Administrators can enable it when they are ready and disable it if they need to pause access.This setting is independent of the existing setting for standalone Power BI Copilot:- If both settings are enabled, users with a Microsoft 365 Copilot license will see entry points for both experiences. Standalone Power BI Copilot will continue to appear on Home.- If standalone Power BI Copilot is disabled and Microsoft 365 Copilot is enabled, users will see only the Microsoft 365 Copilot entry point.## Initial Public Preview AvailabilityDuring the initial public preview, the integrated experience is available only to users with a **Microsoft 365 Copilot license**.These users receive the full Copilot Chat experience in Power BI and Fabric, bringing together:- Fabric data through **Fabric IQ**- Relevant Microsoft 365 context through **Work IQ**Existing permissions and governance controls continue to determine which content each user can access.","feature_name":"Copilot in Power BI Fabric","last_modified":"2026-09-17","product_id":"94e84e43-aa69-f011-bec2-00224804b6c3","product_name":"Fabric Ecosystem","release_date":"Q3 2026","release_item_id":"bd904fac-c7b2-f111-aaab-70a8a59cb78c","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Outbound access protection for Data Factory (Generally Available)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/outbound-access-protection-for-data-factory-generally-available/5172006","feature_description":"Microsoft Fabric's outbound access protection blocks all outbound connections from a workspace by default and only allows approved external connections through managed private endpoints or data connection rules. It applies across workloads such as Data Engineering, Data Factory, Activator, and Data Agent, giving admins granular control over external connectivity.","feature_name":"Outbound Access Protection for Fabric SQL DB","last_modified":"2026-09-16","product_id":"347da228-ea54-ef11-a317-0022480a694f","product_name":"SQL database","release_date":"Q4 2026","release_item_id":"61e4ab87-eeb1-f111-aaab-70a8a59cbac4","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Providing more insights & tools: Capacity health, timepoint summary, timepoint detail, chargeback now generally available","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Providing-more-insights-amp-tools-Capacity-health-timepoint/ba-p/5176753","feature_description":"The Capacity Metrics app will features a redesigned experience with modernized visualizations, improved navigation, and enhanced analytics capabilities that make it easier to monitor, understand, and optimize Microsoft Fabric capacity usage.The updated experience provides clearer insights into utilization trends, workload consumption patterns, and performance bottlenecks, helping administrators more quickly identify capacity constraints, investigate throttling events, and make data-driven decisions to improve capacity health and efficiency.","feature_name":"Capacity Metrics app","last_modified":"2026-09-15","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"Q4 2026","release_item_id":"8e73b44d-97b0-f111-aaab-70a8a59cbbb7","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Customer-managed keys for Fabric workspaces (Generally Available)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/customer-managed-keys-for-fabric-workspaces-generally-available%C2%A0/5172531","feature_description":"Apply Fabric workspace customer managed keys to Eventstreams to add an extra layer of encryption for data at rest. When CMK is enabled for a workspace, Eventstreams automatically use the workspace key configuration via Azure Key Vault, including key rotation and revocation handling.","feature_name":"Secure Fabric Eventstreams with customer-managed keys","last_modified":"2026-09-15","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q4 2026","release_item_id":"61963fc1-c6f0-f011-8407-000d3a3ac4a5","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Capacity Overview Events in Real-Time Hub (Generally Available)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Capacity-Overview-Events-in-Real-Time-Hub-Generally-Available/ba-p/5356729","feature_description":"**Capacity Monitoring in Monitor Hub **Microsoft Fabric is introducing capacity monitoring and management capabilities within the Fabric product itself, designed to give administrators a unified and actionable view of capacity health, usage, and management capabilities. This experience centralizes the most critical controls and insights--such as around utilization, scaling, throttling, and surge protection--making it easier than ever to detect issues, manage resources, and remediate capacities quickly.  Key initials features include CU utilization details with breakdowns (e.g., interactive/background delays and rejections), status indicators for surge protection and throttling, direct toggles for pausing or resuming capacities, and easy ways to take direct actions for unhealthy capacities such scaling capacities and/or performing workspace migrations right from within the experience.By bringing these capabilities into the Monitor Hub, Fabric empowers customers to proactively manage capacities, maintain reliability, and streamline operations--all from an intuitive interface that introduces the concept of Capacity Health.","feature_name":"Capacity Insights & Actions (in-product observability)","last_modified":"2026-09-15","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"Q4 2026","release_item_id":"5952a1c1-60b0-f011-bbd3-000d3a3740cc","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Providing more insights & tools: Capacity health, timepoint summary, timepoint detail, chargeback now generally available","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Providing-more-insights-amp-tools-Capacity-health-timepoint/ba-p/5176753","feature_description":"**Fabric Chargeback app - Tags Support **Chargeback app tagging will enable organizations to attribute and analyze capacity consumption across customer-defined business dimensions such as project, function, workspace, cost center, or department. This enhancement will provide greater flexibility for cost allocation, chargeback, and reporting scenarios, helping customers align Fabric consumption with their internal financial and organizational structures.About the app:  The** Microsoft Fabric Chargeback app** helps customers understand which teams, users, and workloads are driving capacity usage, enabling them to build chargeback processes that fairly allocate costs based on actual consumption. As a capacity admin, you can view key parameters such as metric types, dates, and operation names, and share the report with others in your organization to support transparent and informed cost management.  Ultimately, this enables admins to:* Understand cost drivers - See which workspaces, users, or artifacts consume the most resources.* Enable accurate chargeback - Distribute costs fairly across departments based on real usage.* Optimize capacity planning - Identify expensive artifacts and adjust capacity assignments or auto-scale settings to control costs.With these insights, admins can make informed decisions about capacity sizing, workload distribution, and budgeting/chargeback--ensuring cost transparency and operational efficiency.","feature_name":"Fabric Chargeback app","last_modified":"2026-09-15","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"Q4 2026","release_item_id":"2aaf1457-96b0-f111-aaab-70a8a59cbbb7","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Capacity Operation Events in Real-Time Hub (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Capacity-Operation-Events-in-Real-Time-Hub-Preview/ba-p/5364092","feature_description":"Capacity Operation Events in Real-Time Hub provide Microsoft Fabric capacity administrators with near-real-time, operation-level telemetry for understanding exactly what is consuming capacity and contributing to performance pressure.- The event stream emits one event for each operation that consumes capacity units, rather than aggregating activity into a summary window.- Each event can include the operation's workspace, item, workload, identity, CU consumption, duration, status, throttling delay, start time, and smoothing-window attribution.- Administrators can identify high-cost operations, investigate throttled or failed workloads, and determine which workspaces and items are driving capacity utilization.- Events can power Activator alerts and automated responses, flow through Eventstream to downstream destinations, be retained in Eventhouse for historical analysis, and support custom monitoring and governance solutions.- Used with Capacity Overview Events, administrators can move from understanding what is happening to the capacity to identifying which operations are causing it.This capability is available in public preview. Customers can access it from Real-Time Hub under Fabric events, then explore Capacity operation events, create an eventstream, or configure an alert for a selected capacity.","feature_name":"Capacity Operation Events in Real-Time Hub (Public Preview)","last_modified":"2026-09-15","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"7d228f84-97b0-f111-aaab-70a8a59cb3e2","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Outbound access protection for Data Factory (Generally Available)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/outbound-access-protection-for-data-factory-generally-available/5172006","feature_description":"Workspace admins responsible for safeguarding organizational data will be able to leverage Outbound Access Control (OAP) in Fabric to ensure that Semantic Models and Power BI Reports are permitted to connect only to explicitly approved data sources. OAP helps to prevent data exfiltration by blocking data connections to unapproved or potentially risky endpoints, thereby enforcing organizational data governance and compliance requirements.","feature_name":"Outbound access protection for Power BI (Reports)","last_modified":"2026-09-15","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q2 2026","release_item_id":"c897392a-504e-f111-bec7-6045bd0a886d","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Easily load Fabric OneLake data into Excel \u2014 OneLake catalog and Get Data are integrated into Excel for Windows (Preview)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/easily-load-fabric-onelake-data-into-excel-%E2%80%94-onelake-catalog-and-get-data-are-in/5172871","feature_description":"The OneLake catalog integration in Excel as part of modern Get Data unlocks seamless connectivity to Fabric data, empowering every business user to discover and analyze organizational content directly from Excel. This powerful capability simplifies data access and accelerates insights, making Excel a true gateway to Fabric's rich data ecosystem.","feature_name":"Fabric OneLake catalog in Excel Get Data","last_modified":"2026-09-14","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"Q3 2026","release_item_id":"d2e07536-32b3-f011-bbd3-00224808fcf0","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Discover items across workspaces with the OneLake Catalog Search API, MCP and CLI tools (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Discover-items-across-workspaces-with-the-OneLake-Catalog-Search/ba-p/5176768","feature_description":"The OneLake Catalog Search API (POST /v1/catalog/search) -- previously limited to Fabric items -- now also returns OneLake tables (e.g. Lakehouse, Mirrored) and Semantic Model tables as first-class search results. Items and tables are ranked together in a single, unified relevance-scored result set -- so the most relevant result surfaces first regardless of entity type.","feature_name":"OneLake catalog Search API expansion to OneLake and Semantic model tables","last_modified":"2026-09-14","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"Q3 2026","release_item_id":"9bfc47ce-094d-f111-bec7-6045bd0a8ec1","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Lineage-aware AI with the Fabric item relations API (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Lineage-aware-AI-with-the-Fabric-item-relations-API-Preview/ba-p/5366064","feature_description":"Query upstream and downstream item relationships across all Fabric workloads through a public API. Retrieve which items depend on or feed into a given item, spanning Lakehouses, Warehouses, Pipelines, Semantic Models, Reports and more.","feature_name":"Query item downstream and upstream relations through a public API","last_modified":"2026-09-14","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"Q3 2026","release_item_id":"02c73718-e24a-f111-bec7-6045bd0a8ec1","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The new Report Ribbon on the web brings the familiar Power BI Desktop ribbon experience to the browser, providing a more intuitive, organized, and consistent way to access report actions and authoring capabilities.","feature_name":"Report Ribbon in the web","last_modified":"2026-09-13","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q4 2026","release_item_id":"b0dea050-a0af-f111-aaab-70a8a59cb884","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Data Agent automatically follows the foreign key relationships in your SQL source to query the right tables -- including ones you didn't explicitly select. When you scope an agent to a schema or just a couple of base tables, the agent expands along those foreign keys to bring in the other tables a question needs and generates SQL that joins them correctly, so you get accurate multi-table answers from a small starting selection. For relationships that aren't defined in the source or live only in how your business uses the data, creators and advanced users can define additional relationships through the SDK & Data Agent experience. These configurations are stored alongside the rest of the agent configuration in a consistent, source-controllable format -- so they flow through your CI/CD pipeline","feature_name":"Relationship Context for SQL Sources","last_modified":"2026-09-10","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q1 2027","release_item_id":"34631b0a-c065-f111-a826-6045bd00fc61","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Query Templates are parameterized example queries for SQL databases and Semantic Models that teach Data Agents how to answer common business questions. By providing trusted query patterns with reusable parameters, Query Templates help agents generate more accurate and efficient queries, reducing ambiguity and improving consistency. Templates can be created manually, generated with AI, or built through a guided skill experience. By leveraging optimized query patterns, Data Agents can deliver faster responses, higher answer accuracy, and more reliable results while reducing the need for complex prompt engineering and extensive agent instructions.","feature_name":"Parameterized Example Queries","last_modified":"2026-09-10","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q4 2026","release_item_id":"04b9f8e4-acac-f111-aaab-7ced8d70ff57","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The Data Source schema description feature allows users to add rich descriptions to tables, columns, and other schema elements to enhance how the Data Agent understands and utilizes the data. These annotations provide valuable context that can improve routing decisions, schema selection, and query generation. By supplementing raw schema with user-defined descriptions--such as definitions, usage notes, or expected value formats--the agent can interpret questions more accurately and choose the most relevant data sources and fields when responding to user queries.","feature_name":"Data Agent Schema Descriptions for SQL","last_modified":"2026-09-10","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q3 2026","release_item_id":"429662c3-a361-f011-bec1-000d3a35e553","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Data source routing in Microsoft Fabric data agents (Generally Available)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Data-source-routing-in-Microsoft-Fabric-data-agents-Generally/ba-p/5358696","feature_description":"The Routing Tool is a fallback mechanism used by the Data Agent to intelligently determine which tool or data source should handle a user's natural language query. When schema descriptions are available--either user-supplied or imported--they enhance the routing process by providing semantic context about each table or schema element. This context helps the agent make more accurate decisions about which tool (e.g., SQL, KQL) or dataset is best suited to answer the question. The routing tool activates when a query is ambiguous, ensuring queries are directed efficiently and appropriately. The routing tool results can be viewed by the creator for easier debugging.","feature_name":"Improve Data Agent Data Source Selection Results","last_modified":"2026-09-10","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q4 2025","release_item_id":"8bc8911e-a461-f011-bec1-000d3a35e553","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"To enhance security, we aim to prevent the sharing of Microsoft account credentials across collaborators. The new connection-sharing model will encourage each collaborator to sign in with their own Microsoft account.","feature_name":"Connections - Enhanced Connection Collaboration Model","last_modified":"2026-09-08","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q4 2026","release_item_id":"f3579085-8c20-f011-998a-0022480939f0","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"New Dataflow Gen2 data destinations and experience improvements","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/new-dataflow-gen2-data-destinations-and-experience-improvements/5172568","feature_description":"We are introducing Amazon S3 as a new data destination for Dataflow Gen2 in Preview, enabling customers to publish transformed data from Microsoft Fabric directly into Amazon S3 using Dataflow Gen2's low-code Power Query experience.This preview expands Dataflow Gen2's destination ecosystem to better support multi-cloud data architectures, making it easier for customers with existing AWS investments to integrate Fabric-based transformations into their broader data lake and analytics environments.Key benefits and scenarios:* Publish curated outputs from Dataflow Gen2 directly to Amazon S3 buckets* Support AWS-based data lake and downstream analytics scenarios while keeping transformation logic centralized in Fabric* Enable teams to prepare, standardize, and shape data in Fabric before making it available to AWS services such as Athena, Glue, or other S3-based processing pipelinesDuring Preview, the Amazon S3 data destination is intended for evaluation and early adoption, allowing customers to validate cross-cloud integration patterns, performance characteristics, and operational workflows before using it for business-critical pipelines.This preview is part of our broader effort to make Dataflow Gen2 a flexible, low-code transformation layer across clouds, with continued investments planned to mature and expand multi-cloud destination support in Microsoft Fabric.","feature_name":"Dataflows - New Data Destination: AWS S3","last_modified":"2026-09-08","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q4 2026","release_item_id":"1f2fe2c0-3535-f111-88b3-000d3a376c0f","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Automate your CI/CD pipelines with Microsoft Fabric Git REST APIs","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/automate-your-cicd-pipelines-with-microsoft-fabric-git-rest-apis/5172016","feature_description":"Commit individual files within a supported Fabric item to Git, rather than committing the entire item at once. File-level commits give developers granular change history, support partial commits of in-progress work, and produce smaller, easier-to-review pull requests.","feature_name":"Git Integration - File level commit","last_modified":"2026-09-08","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q3 2026","release_item_id":"c5945cb2-662c-f111-88b4-6045bd0a886d","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Incremental copy gets more flexible: New watermark column types in Copy job in Fabric Data Factory (Generally Available)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/incremental-copy-gets-more-flexible-new-watermark-column-types-in-copy-job-in-fa/5172147","feature_description":"Incremental copy from Copy job will support composite watermark columns for complex change detection, including scenarios where the maximum watermark is derived from multiple incremental columns such as LastCreateDateTime and LastModifiedDateTime together.","feature_name":"Copy job - Support composite watermark columns for incremental copy","last_modified":"2026-09-08","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"a42a4baf-483d-f111-88b5-002248085b3f","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Introducing New Branching Capabilities in Fabric Git Integration","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/introducing-new-branching-capabilities-in-fabric-git-integration/5173161","feature_description":"Branch workspace admin profile (aka. admin delegation) lets developers use the branch-out experience without needing create-workspace or assign-capacity permissions. Workspace admins keep full control through pre-configured guardrails while unblocking developer workflows. Capabilities:  - Developers without create-workspace or assign-capacity permissions can perform branch-out seamlessly  - Admins pre-configure profile to ensure guardrails for branch workspaces: developer role, capacity assignment and admin list.","feature_name":"Git Integration - Branch workspace admin profile","last_modified":"2026-09-08","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q3 2026","release_item_id":"79538350-662c-f111-88b4-6045bd0a886d","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Simplifying Data Ingestion with Copy job \u2013 Introducing Change Data Capture (CDC) Support (Preview)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/simplifying-data-ingestion-with-copy-job---introducing-change-data-capture-cdc-s/5172747","feature_description":"Change Data Feed can be automatically enabled for Delta tables created by Copy job, allowing downstream workloads to directly leverage the Delta Change Data Feed to track all data changes.","feature_name":"Copy job - Auto-enable CDF on Delta table creation from Copy job","last_modified":"2026-09-08","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"30f3ad4a-423d-f111-88b5-002248085b3f","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Expanded CDC Support for More Sources & Destinations \u2013 Simplifying Data Ingestion with Copy job","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/expanded-cdc-support-for-more-sources--destinations---simplifying-data-ingestion/5172468","feature_description":"Customers can use Copy job to automatically capture inserts, updates, and deletions from any supported CDC source store, and replicate them to the new destination stores including Oracle without requiring a watermark column.","feature_name":"Copy job - CDC based replication to Oracle","last_modified":"2026-09-08","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"71ffb0dc-c99a-f011-b4cc-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Eventhouse OneLake Availability is Generally Available","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/eventhouse-onelake-availability-is-generally-available/5173170","feature_description":"Eventstream now reads change records directly from change-enabled Delta tables in a Lakehouse and streams them in real time. This lets teams act on data changes as they happen.With this capability, you can:- Stream inserts, updates, and deletes from Lakehouse Delta tables into Eventstream.- Build incremental analytics and dashboards on table changes.- Trigger alerts and event-driven actions using Eventstream operators.","feature_name":"Lakehouse Delta table change feed connector for Eventstream","last_modified":"2026-09-06","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q4 2026","release_item_id":"409987af-d649-f111-bec7-6045bd00f506","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"A wave of new Dataflow Gen2 capabilities at FabCon Atlanta 2026","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/a-wave-of-new-dataflow-gen2-capabilities-at-fabcon-atlanta-2026/5172175","feature_description":"We are introducing Google BigQuery as a new data destination for Dataflow Gen2 in Preview, enabling customers to publish transformed data from Microsoft Fabric directly into BigQuery tables using Dataflow Gen2's low-code Power Query experience.This preview expands Dataflow Gen2's destination ecosystem to better support multi-cloud analytics architectures, giving customers with existing investments in Google Cloud a simple way to deliver Fabric-based transformations into their BigQuery data warehouse -- without building or maintaining custom pipelines and orchestration.Key benefits and scenarios:* Publish curated outputs from Dataflow Gen2 directly into Google BigQuery datasets and tables* Support multi-cloud analytics and data sharing scenarios while keeping transformation logic centralized in Fabric* Prepare, standardize, and reshape data in Fabric before making it available to BigQuery-based reporting, machine learning, and downstream processing* Complete the round trip for BigQuery customers, complementing existing read connectivity and mirroring with a first-class write path* Reduce operational overhead by replacing hand-built export and load jobs with a governed, refreshable dataflowDuring Preview, the Google BigQuery data destination is intended for evaluation and feedback, allowing customers to validate connectivity patterns, load performance, and integration workflows ahead of broader production use.This release is part of our broader effort to make Dataflow Gen2 a flexible, low-code transformation layer across clouds, with ongoing investments planned to further mature and expand multi-cloud destination support in Microsoft Fabric.","feature_name":"Dataflows - New Destination: Google BigQuery","last_modified":"2026-09-04","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q4 2026","release_item_id":"8ea01c69-98a1-f111-b8db-0022480b837b","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"A wave of new Dataflow Gen2 capabilities at FabCon Atlanta 2026","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/a-wave-of-new-dataflow-gen2-capabilities-at-fabcon-atlanta-2026/5172175","feature_description":"Dataflow Gen2 refreshes appear in the Fabric Monitoring hub today, but the hub surfaces run-level status only. Investigating a failure requires leaving the hub and opening the dataflow's refresh history through Recent runs in the workspace. This feature brings the detailed refresh experience into the Monitoring hub, so users can move from a failed run to its root cause without changing context.Selecting a Dataflow Gen2 refresh entry in the Monitoring hub opens the detailed run view, with the same information available in Recent runs today: overall status, refresh type, duration, request and session identifiers, the tables loaded during the refresh, and the activities performed, including writes to output destinations. Users can drill into an individual table or activity to review errors and activity statistics such as rows and bytes written. Run entries also link directly to the dataflow and the workspace that produced them, so investigation and remediation happen in one place.This also completes the path that begins with a refresh failure notification. The link in a failure email lands the user on the run in the Monitoring hub, and from there they can navigate straight to the failure details rather than locating the dataflow manually.Key benefits and scenarios:* Investigate Dataflow Gen2 refresh failures directly in the Monitoring hub, without navigating back to the workspace to open Recent runs* Drill from a run into per-table and per-activity details, including error messages and output destination statistics* Navigate from a run entry to the originating dataflow and workspace* Monitor and troubleshoot Dataflow Gen2 alongside pipelines and other Fabric items in a single, consistent experienceBy bringing refresh details into the Monitoring hub, Dataflow Gen2 monitoring becomes consistent with the rest of Data Factory and gives data teams one place to detect, diagnose, and resolve refresh issues.","feature_name":"Dataflows - Refresh details in the Fabric Monitoring hub","last_modified":"2026-09-04","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"e3d18480-b4a8-f111-b8dd-6045bd019f33","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"What\u2019s new in Fabric Eventstream: July\u2013December 2025 updates","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/what%E2%80%99s-new-in-fabric-eventstream-july%E2%80%93december-2025-updates/5172334","feature_description":"### Large Message Support in Fabric Eventstreams  #### Overview  Large Message Support enables Fabric Eventstreams to ingest, process, and deliver event payloads up to **20 MB** per message. This removes the need for customers to split, chunk, or pre-process large events before streaming them through Eventstreams.  #### Problem  Today, Eventstreams enforces a default message size limit of 1 MB. Customers with larger payloads -- such as batched IoT telemetry, enriched event schemas, media metadata, or complex domain events -- must implement workarounds to stay within this constraint. These workarounds add pipeline complexity, increase failure surface, and break downstream schema consistency.  #### What's changing  With this feature, customers can opt in to a configurable message size ceiling (up to 20 MB) on their Eventstreams. Key aspects:  - **Opt-in by design** -- existing Eventstreams are unaffected unless the customer explicitly enables a higher limit. - **Configurable ceiling** -- customers choose the maximum message size aligned to their workload, rather than a one-size-fits-all default. - **No pipeline redesign required** -- sources, transformations, and destinations continue to work as expected. Larger messages flow through the same Eventstream canvas.","feature_name":"Large message support ( 20 MB) for Fabric Event streams","last_modified":"2026-09-04","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"4dc5810b-2040-f111-88b5-6045bd0066ad","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The Excel Document Builder in Dataflow Gen2 provides a low-code experience for composing advanced Excel workbooks as the output of a dataflow. Generating formatted Excel documents is possible today through the advanced format of the Excel Workbook (XLSX) data destination, but it requires authoring the document structure directly in M. The Document Builder brings the same capability into a visual authoring dialog, enabling users to design multi-sheet workbooks without writing code.Users compose a workbook from a structure of sheets and parts, including Sheet Data, Table, Chart, and Range parts, and configure each part through a properties pane instead of M syntax. Charts can reference an existing table part by name rather than duplicating the underlying data, and built-in validation surfaces structural issues, such as an empty sheet or incompatible parts on the same sheet, before a refresh is consumed. On refresh, the dataflow renders the composed workbook and writes it to the configured destination.Key benefits and scenarios:* Design multi-sheet Excel workbooks with formatted tables and charts, without writing M code* Validate document structure during authoring, before the dataflow is refreshed* Deliver recurring, formatted Excel reports to business users on a refresh schedule, rather than raw data dumps* Preserve the code-first path: the Document Builder generates standard M, so document definitions remain versionable in source control and editable in the advanced editorBy adding a low-code authoring experience on top of the Excel Workbook data destination, Dataflow Gen2 makes advanced Excel document generation accessible to every dataflow author, not only those comfortable authoring M.","feature_name":"Dataflows - Excel Document Builder for the Excel Workbook (XLSX) destination","last_modified":"2026-09-04","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"040fd657-b2a8-f111-b8dd-6045bd019dcf","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Subscribe to Fabric Job Events at the workspace scope to monitor job activity across an entire workspace.","feature_name":"Workspace scope for Job Events","last_modified":"2026-09-03","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q1 2027","release_item_id":"7c18efd5-e4c0-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Capacity Operation Events in Real-Time Hub (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Capacity-Operation-Events-in-Real-Time-Hub-Preview/ba-p/5364092","feature_description":"Public preview of Capacity Operation events to track Fabric capacity operations such as scale, pause, and resume.","feature_name":"Capacity Operation Events","last_modified":"2026-09-03","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"dc8a0aee-e3c0-f011-bbd3-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Build agent with AI for Data Agent (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Build-agent-with-AI-for-Data-Agent-Preview/ba-p/5351116","feature_description":"Build Agent with AI mode is expanding support for Semantic Models in Data Agent, helping users generate semantic-model specific instructions and example queries more easily. The feature can explore Semantic Model tables, measures, columns, and recent query patterns to produce more relevant configurations while preserving transparency through visible run steps and explored queries. Users remain in control by reviewing, refining, and committing generated configurations before they update their Data Agent setup.","feature_name":"Build Agent with AI Mode: Support Semantic Models","last_modified":"2026-09-02","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q4 2026","release_item_id":"df9398eb-fb68-f111-a826-6045bd0066ad","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The primary goal is to enable creators to understand how consumers interact with their data agents and bridge the gap between the data agent creators and the consumers. This comprehensive monitoring system will enable creators to have access to the feedback provided by consumer across consumption channels such as M365 Copilot, Fabric, Org App so they can refine the data agent based on customer feedback.Our initial release will only cover the M365 Copilot and will then expand to other consumption channels.","feature_name":"Consumer to Creator feedback loop","last_modified":"2026-09-02","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q4 2026","release_item_id":"5db8bce1-2b43-f111-88b5-6045bd00fc61","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Build agent with AI for Data Agent (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Build-agent-with-AI-for-Data-Agent-Preview/ba-p/5351116","feature_description":"Build Agent with AI Mode file support lets users upload existing text-based business context such as documentation, glossaries, process guides, and data dictionaries, so Creator Agent can use it to generate more complete and accurate Data Agent configurations. 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When OAP is enabled on a workspace, dbt jobs run under the workspace's outbound access policy -- outbound network calls from the dbt job are blocked unless explicitly allowed.Preview limitation: Public packages are not supported during preview. If OAP is enabled on a workspace containing a dbt job, package resolution from public sources will fail. Support for public packages will be added by GA.","feature_name":"Outbound Access Protection for dbt job","last_modified":"2026-09-01","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"e7abebd0-9aa5-f111-b8dd-6045bd0194ef","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The Reference Data Join feature in Eventstream enables you to enrich streaming events by joining them with static or slowly changing delta tables in one lake.User can reference any one lake delta tables using lakehouse, and join it with streaming data in eventstream to enahace and add additional context to their events during processing.","feature_name":"Eventstream reference data join with one lake delta tables","last_modified":"2026-08-28","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"816ee551-33a5-f011-bbd3-000d3a30273e","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Fabric Eventstream can now publish Business Events (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Eventstream-can-now-publish-Business-Events-Preview/ba-p/5180050","feature_description":"**Eventstream as a Business Events Consumer from Real-Time Hub****Overview**Enable Eventstream to natively consume Business Events from Real-Time hub--unlocking real-time processing, transformation, and routing of business signals across Fabric.**Key Capabilities*** Native Eventstream Consumption: Create Eventstream consumers directly from Business Events in Real-Time hub to start processing events in real time.* Real-time Event Processing Pipelines: Build pipelines to ingest, process, and route Business Events with low latency as they are published.* Flexible Transformations & Enrichment: Apply transformations, filtering, and enrichment to Business Events before routing them to downstream systems.* Seamless Routing to Destinations: Deliver processed events to multiple Fabric destinations (e.g., storage, analytics engines, downstream services) for further action.* Integration with Analytics & Actions: Enable scenarios such as real-time insights, anomaly detection, alerts, and automated workflows powered by event data.","feature_name":"Eventstream as a Business Events Consumer from Real-Time Hub","last_modified":"2026-08-28","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"452a8734-da3d-f111-88b5-6045bd0a8ec1","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Turn insights into signals with Activator as a Business Event Publisher (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Turn-insights-into-signals-with-Activator-as-a-Business-Event/ba-p/5190248","feature_description":"","feature_name":"Activator as a publisher of Business Events","last_modified":"2026-08-28","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q2 2026","release_item_id":"ffd42d88-e631-f111-88b3-000d3a376c0f","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Analyze Your Business Events in Eventhouse and Real-Time Dashboards (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Analyze-Your-Business-Events-in-Eventhouse-and-Real-Time/ba-p/5190245","feature_description":"Route and analyze Fabric Business Events in Eventhouse for real-time querying and analytics.","feature_name":"Analyze Business Events in Eventhouse","last_modified":"2026-08-28","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q2 2026","release_item_id":"a1bbb828-e731-f111-88b3-000d3a376c0f","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Copilot in Fabric (preview) is available worldwide","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/copilot-in-fabric-preview-is-available-worldwide%C2%A0/5172049","feature_description":"Creators in Fabric can easily improve their semantic models with Copilot. 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