{"data":[{"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":"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":"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":"2026-09-03","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"f1adc9fb-31a7-f111-b8dd-6045bd019a0d","release_status":"Shipped","release_type":"General availability"},{"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":"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":"2026-09-03","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"1ded8037-31a7-f111-b8dd-6045bd019a0d","release_status":"Shipped","release_type":"General availability"},{"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. This reduces repetitive setup work by allowing users to reuse knowledge that already exists in files, rather than manually recreating that context through long chat interactions.","feature_name":"Build Agent with AI Mode Supports Files as Context","last_modified":"2026-09-02","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q4 2026","release_item_id":"54678565-fb68-f111-a826-6045bd0066ad","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Fabric SQL Database Integration: Unlocking New Possibilities with Power BI desktop","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/fabric-sql-database-integration-unlocking-new-possibilities-with-power-bi-deskto/5172797","feature_description":"Connect directly from Power Query in Excel to any Fabric item exposing a SQL analytics endpoint -- Lakehouse, Warehouse, mirrored databases -- through a single Get Data entry point, with no need to pick the right artifact-specific connector.","feature_name":"Power Query - Excel connectivity to Fabric artifacts via SQL analytics endpoint","last_modified":"2026-09-01","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q4 2026","release_item_id":"995c4995-98a5-f111-b8dd-6045bd0196b9","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":"Outbound access protection is supported by dbt job items. 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":"What\u2019s new in OneLake catalog: Data governance and more","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/what%E2%80%99s-new-in-onelake-catalog-data-governance-and-more/5172922","feature_description":"The OneLake Catalog - Govern experience is expanding by introducing a comprehensive set of management tools designed to reduce fragmentation and simplify day-to-day administration. Enable admins to centrally govern the data they own from a single, unified place, supporting operations at scale while maintaining speed and agility. Deliver a consistent and intuitive admin experience across tenant, domain, capacity, and workspace scopes, ensuring governance is predictable and easy to apply regardless of where data resides. Provide flexible and granular governance controls that adapt to different organizational needs, maturity levels, and operating models. Enhance visibility by offering deeper insights, contextual signals, and proactive recommendations, helping admins understand the current governance posture and take informed action.","feature_name":"OneLake Catalog - govern with centralized management capabilities (domains, tags, capacities, etc)","last_modified":"2026-08-31","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"Q3 2026","release_item_id":"174dbee0-534a-f111-bec7-6045bd0a8ec1","release_status":"Shipped","release_type":"General availability"},{"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. Powered by Power BI Modeling MCP, you will be able to leverage AI to modify semantic model to meet new requirements for reporting, including but optiming your semantic model for AI.","feature_name":"Modeling Copilot","last_modified":"2026-08-28","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q2 2026","release_item_id":"18e80601-8e2c-f111-88b4-000d3a376137","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Govern in OneLake Catalog for Fabric admins (Preview)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/govern-in-onelake-catalog-for-fabric-admins-preview/5172446","feature_description":"Govern Skills bring AI-powered governance assistance to Microsoft Fabric, helping admins monitor their data estate, identify governance risks, and take recommended actions from a single experience. Built around the core governance pillars of Health, Protect, and Trust, the skills provide contextual insights and remediation guidance to help organizations maintain a well-governed, secure, and trusted data estate.","feature_name":"Govern Skills for Fabric","last_modified":"2026-08-27","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"Q3 2026","release_item_id":"b6d8618b-08a2-f111-b8db-000d3a3ad591","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Adds a **date picker** mode for date slicers so authors can pick a relative default range (e.g., 'last full month') that automatically rolls forward as time passes when published, without authors having to update the report each period. Report viewers can override it to filter to other relative ranges or any manual date range.","feature_name":"Date picker slicer to set relative and manual date ranges","last_modified":"2026-08-27","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q3 2026","release_item_id":"389a9a25-5ca2-f111-b8db-000d3a3ad841","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Introducing the new OneLake catalog: Your central hub for data discovery, management, and governance","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/introducing-the-new-onelake-catalog-your-central-hub-for-data-discovery-manageme/5173030","feature_description":"With this new feature, OneLake catalog can display user-defined descriptions for tables and columns, helping users quickly understand data context. Once a table is identified as relevant, users can instantly preview its data with a single click - streamlining discovery and accelerating informed decision-making. This enhancement fosters trust, promotes collaboration, and encourages a culture of data reuse across the organization.","feature_name":"OneLake catalog - tables data preview and quick actions","last_modified":"2026-08-27","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"Q3 2026","release_item_id":"25d26f63-36b3-f011-bbd3-000d3a3740cc","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Microsoft Fabric extension for VS Code (Generally Available)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/microsoft-fabric-extension-for-vs-code-generally-available/5172598","feature_description":"VS Code allows developers to explore Fabric Workspaces and connect directly to Fabric Warehouses, providing seamless access to data and objects. Key capabilities include:* Workspace exploration: Navigate Fabric Workspaces, including their warehouses, tables, views, and other artifacts.* Direct connectivity: Connect to one or multiple Fabric Warehouses from VS Code for querying or management.* Integrated workflow: Quickly access schemas and objects for development, debugging, or CI/CD without switching tools.","feature_name":"Browse and Connectivity in VS Code for Fabric Warehouse","last_modified":"2026-08-26","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q1 2027","release_item_id":"bb7de14c-ebb8-f011-bbd3-6045bd05dd14","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Securing the Power Query connector ecosystem in Fabric","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Securing-the-Power-Query-connector-ecosystem-in-Fabric/ba-p/5195164","feature_description":"Microsoft Fabric will introduce a modernized replacement for the existing Exchange connector, improving the foundation for connecting to Exchange data through Power Query-based experiences.","feature_name":"Connectors - Modernized Exchange connector for Power Query","last_modified":"2026-08-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q4 2026","release_item_id":"fbf626c8-726a-f111-a826-000d3a36696c","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Adding filter pane cards to the visual itself via new filter action button. The filter action button co-exists with the visual title section.","feature_name":"Matrix and table filter action button","last_modified":"2026-08-26","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q4 2026","release_item_id":"ed888d13-03a1-f111-b8db-000d3a3ad657","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Fabric workspace connection strings often contain complex, encoded server names that make it difficult for developers to identify or manage connections easily.With Friendly workspace server name, developers can configure a friendly server name for a workspace that helps connections simpler to manage.","feature_name":"Workspace-Friendly Connections","last_modified":"2026-08-26","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q4 2026","release_item_id":"be34d186-0cb9-f011-bbd3-6045bd05dd14","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Unlocking the Next Generation of Data Transformations with Dataflow Gen2 \u2013 FabCon Europe 2025 Announcements","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/unlocking-the-next-generation-of-data-transformations-with-dataflow-gen2---fabco/5172569","feature_description":"The Dataflow Gen1 - Gen2 Migration Wizard will become Generally Available and production-ready, providing a guided, end-to-end experience to help customers confidently upgrade existing Power BI Dataflows (Gen1) to Dataflow Gen2 in Microsoft Fabric.The wizard supports both single-item and bulk upgrades, enabling you to migrate one dataflow or multiple dataflows within a workspace through a single, streamlined flow. It is available for Dataflow Gen1 items in Premium workspaces and requires Fabric to be enabled for the upgraded Dataflow Gen2 items to run.Beyond upgrading the dataflow itself, the Migration Wizard automatically handles downstream dependencies, seamlessly redirecting references from Dataflow Gen1 outputs to the corresponding Dataflow Gen2 outputs--without requiring any manual changes to reports, semantic models, or other dependent items.With GA availability, this experience is fully supported for production use, dramatically simplifying Gen1 - Gen2 upgrade scenarios and making it safe and practical to bring existing Power BI Dataflows into Fabric to benefit from Dataflow Gen2's latest innovations, including improved performance, deeper Fabric integration, and a modern, future-ready Data Transformation foundation.","feature_name":"Dataflows - Dataflow Gen1 - Gen2 Migration Wizard","last_modified":"2026-08-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q4 2026","release_item_id":"98a73759-e13c-f111-88b5-6045bd00fc61","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"A commonly requested new capability for Output Destinations is the ability to merge, or upsert, data into previously loaded rows in the destination table. We aim to provide this support for Fabric Lakehouse destination.","feature_name":"Dataflows - Merge/Upsert Support for Output Destinations","last_modified":"2026-08-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q4 2026","release_item_id":"67d0f235-4521-f011-9989-6045bd030c4d","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 Google Cloud Storage (GCS) as a new data destination for Dataflow Gen2 in Preview, enabling customers to land transformed data from Microsoft Fabric directly into Google Cloud Storage using Dataflow Gen2's low-code Power Query experience.This preview expands Dataflow Gen2's destination ecosystem to better support multi-cloud data architectures, giving customers with existing investments in Google Cloud a simple way to integrate Fabric-based transformations into their broader data estate.Key benefits and scenarios:* Publish curated outputs from Dataflow Gen2 directly to Google Cloud Storage buckets* Support multi-cloud ingestion and data sharing scenarios while centralizing transformation logic in Fabric* Enable teams to prepare and standardize data in Fabric before making it available to GCP-based analytics, processing, or downstream pipelinesDuring Preview, the Google Cloud Storage data destination is intended for evaluation and feedback, allowing customers to validate connectivity patterns, performance characteristics, 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 Fabric.","feature_name":"Dataflows - New Destination: Google Cloud Storage","last_modified":"2026-08-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q4 2026","release_item_id":"45a4fc04-9ab3-f011-bbd3-000d3a30273e","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"A new core visual in Power BI -- the gantt chart, visualizing all your product tasks in a Power BI report.","feature_name":"Gantt chart visual","last_modified":"2026-08-26","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q4 2026","release_item_id":"15b7fc3d-d31f-f111-8341-6045bd0a8ec1","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Fabric Data Warehouse goes all-in on enterprises at Ignite","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/fabric-data-warehouse-goes-all-in-on-enterprises-at-ignite/5172472","feature_description":"Accelerate metadata queries and schema exploration for warehouses and sql analytics endpoints, improving object browsing, tooling responsiveness, and developer productivity across Fabric and SQL tools.","feature_name":"Faster Metadata & Schema Discovery for Large Warehouses","last_modified":"2026-08-26","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q3 2026","release_item_id":"e943c699-fca0-f111-b8db-000d3a3ad657","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Design ribbon for quick access to build-in themes, page size, page background, wallpaper, and links to the theme gallery and how to create a custom theme for your Power BI reports.","feature_name":"Design ribbon in Power BI Desktop","last_modified":"2026-08-26","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q3 2026","release_item_id":"d069ec35-02a1-f111-b8db-000d3a3ad657","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Securing the Power Query connector ecosystem in Fabric","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Securing-the-Power-Query-connector-ecosystem-in-Fabric/ba-p/5195164","feature_description":"Microsoft Fabric will improve the Google BigQuery connector experience by addressing query folding, data type handling, and connector reliability issues, enabling more consistent data access and transformation scenarios through Power Query-based experiences.","feature_name":"Connectors - Improved Google BigQuery connector reliability and query support","last_modified":"2026-08-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"befaeef2-736a-f111-a826-000d3a36696c","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Adding expand and collapse icons to the column headers when more than one column is added, like how there are expand and collapse icons for row headers when there are more than one row added to the matrix in Power BI.","feature_name":"Matrix expand and collapse icons on column headers","last_modified":"2026-08-26","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q3 2026","release_item_id":"a5e3a618-146f-f111-ab0d-000d3a376137","release_status":"Shipped","release_type":"General availability"},{"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":"2026-08-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"8ea01c69-98a1-f111-b8db-0022480b837b","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Evaluate Fabric workload performance with the modern evaluation engine for VNet data gateways (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Evaluate-Fabric-workload-performance-with-the-modern-evaluation/ba-p/5330293","feature_description":"We are introducing a .NET (NetCore) query evaluator for the VNET data gateway.The evaluator executes mashup queries; moving it to a modern .NET runtime modernizes how queries run. With this update:- Query evaluation on the VNET data gateway runs on a modern .NET runtime.- Performance, security, and long-term supportability improve.- The gateway is positioned to benefit from ongoing .NET investments.This reliability and performance investment is available initially as a preview.","feature_name":"Gateways - Performance improvement in VNet gateway through the modern .NetCore evaluator enablement","last_modified":"2026-08-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"6693ef43-ee7e-f111-ab0f-000d3a5a7aa2","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Reference OneLake files directly in your report visuals for images and maps.","feature_name":"OneLake file URLs for report visuals","last_modified":"2026-08-26","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q3 2026","release_item_id":"2774e8e2-ed5a-f111-bec7-000d3a376137","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"New visual defaults to overhaul the Power BI base report theme to create professional looking reports in seconds. This update incorporates many of the latest updates we have made to reports and report theming. This update also includes increasing the default page size to 1080x1920. Report theme customizaton improvements such as color palettes and custom theme authoring from the formatting pane available in both Desktop and web.","feature_name":"Modern visual defaults and customizing theme improvements","last_modified":"2026-08-26","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q3 2026","release_item_id":"10e2a1c0-d664-f111-a826-000d3a5a7aa2","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Previously known as On-object interaction, Quick visual edits makes it easier to build and format visuals directly from the report canvas. Add or remove data, manage visual elements, and update common settings such as titles, subtitles, legends, and data labels in context. For advanced customization, continue in the Format pane.","feature_name":"Quick visual edits","last_modified":"2026-08-24","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q1 2027","release_item_id":"4121c862-f89f-f111-b8db-000d3a3adc9b","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Microsoft Fabric November 2023 Update","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/microsoft-fabric-november-2023-update/5172115","feature_description":"Explore data in a focused experience without creating a report. Quickly investigate and customize your analysis using matrices and visuals, then save the exploration to a workspace or as a report.","feature_name":"Explore","last_modified":"2026-08-24","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q4 2026","release_item_id":"e1ba1ef1-03a0-f111-b8db-000d3a3ad6b6","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Display a built-in trend chart (line or column) inside Card visuals to show how values change over time. No SVGs or extra visuals needed.","feature_name":"Card Visual - Trend Chart","last_modified":"2026-08-24","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q4 2026","release_item_id":"df66c8a5-d46f-f111-ab0d-000d3a376137","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"New capabilities focused on making T-SQL more powerful for analytics, simpler to write, and more intuitive for data exploration.&lt;br/&gt;* **Advanced Analytics** Expanded statistical capabilities with functions such as `MEDIAN`, `QUANTILE`, `PERCENTILE`, `APPROX_MEDIAN`, and `APPROX_QUANTILE` for distribution analysis and large-scale analytical workloads.* **Simplified Query Syntax** New language constructs including `QUALIFY`, `GROUP BY ALL`, and `ORDER BY ALL` help reduce query complexity and improve readability of analytical queries.* **More Intuitive Querying** Developer-friendly syntax enhancements designed to make common query patterns easier to express, improving productivity and reducing the amount of code required to answer business questions.","feature_name":"T-SQL language improvements","last_modified":"2026-08-24","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q4 2026","release_item_id":"ce1edca4-aa9f-f111-b8db-000d3a3ad8c1","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Fabric Data Warehouse will introduce T-SQL functions for pattern matching, text extraction, and transformation using regular expressions. These capabilities will make it easier to validate, search, and manipulate text data directly within your queries.New functions include:* REGEXP_LIKE - Returns a Boolean indicating if the text matches the regex pattern.* REGEXP_REPLACE - Replaces occurrences of a regex pattern with a specified string.* REGEXP_SUBSTR - Extracts parts of a string based on a regex pattern, including Nth occurrence.* REGEXP_INSTR - Returns the position (start or end) of a matched substring.* REGEXP_COUNT - Counts how many times a regex pattern occurs in a string.","feature_name":"Regular expressions","last_modified":"2026-08-24","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q4 2026","release_item_id":"aceeae17-dfb8-f011-bbd3-000d3a30273e","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"What\u2019s New for Fabric Data Agents at Ignite 2025: Unlocking Deeper Data Reasoning and Seamless AI Interoperability","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/whats-new-for-fabric-data-agents-at-ignite-2025-unlocking-deeper-data-reasoning-/5172488","feature_description":"Fabric data agents empower customers to unlock insights from their enterprise data that lives in Fabric OneLake across different consumption channels.Microsoft Agent 365 (A365) is the enterprise control plane that IT and security teams use to observe, secure, and govern AI agents across the tenant, independent of where each agent was built. Admins manage and observe agents from the Microsoft 365 admin center.The first phase of Data Agent integration with A365 has two goals:* Data agent shows up in A365 with an enterprise identity (registration).* Publish activity telemetry to A365 (observability).","feature_name":"Data Agent A365 Identity and Observability","last_modified":"2026-08-24","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q4 2026","release_item_id":"51ca432f-f39f-f111-b8db-000d3a5c7513","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Display a total, custom measure, or label directly in the center of donut charts, eliminating the need for overlaying a separate card visual. The center value responds to filters, selections, and scales automatically across all platforms.","feature_name":"Donut Chart - Center Value","last_modified":"2026-08-24","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q3 2026","release_item_id":"735659bf-146f-f111-ab0d-000d3a376137","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Recent NL2SQL improvements make the system more reliable and flexible by better leveraging few-shot examples, asking clarifying questions when queries are ambiguous, and using data exploration to handle gaps or novel scenarios. It also improves accuracy through smarter filter mapping and provides clearer debugging via visible run steps, example usage, and structured diagnostics.","feature_name":"Improved NL2SQL Experiences","last_modified":"2026-08-24","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q2 2026","release_item_id":"7d8ccddd-a1f0-f011-8406-6045bd026004","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":"The Build Agent with AI mode is a specialized AI assistant designed to help data agent creators configure, improve, and optimize their data agents by generating and refining Agent Instructions, Data Source Instructions, and Few-Shot Examples. It addresses common customer pain points such as confusion about where to put instructions, uncertainty about the effectiveness of few shots, and difficulty diagnosing why an agent produces poor results. The agent works in a collaborative, chat-based 'setup' mode, where it analyzes existing configurations, explores database schemas and query patterns, and recommends improvements that users can explicitly accept or reject. It is designed to detect ambiguity and contradictions across configurations and suggest clearer, more consistent alternatives. Initially focused on SQL data sources, the Build Agent with AI mode is intended to expand to additional data sources (e.g., KQL, semantic models) over time. Overall, it enables a faster, more scalable, and more understandable way to build high-quality data agents without requiring deep knowledge of the underlying system.","feature_name":"Build Agent with AI Mode in Data Agent","last_modified":"2026-08-24","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q2 2026","release_item_id":"db90d1e4-cbf0-f011-8407-002248096d54","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Empowering agentic AI by integrating Fabric with Azure AI Foundry","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/empowering-agentic-ai-by-integrating-fabric-with-azure-ai-foundry/5172877","feature_description":"With the Fabric data agent integration in Azure AI Foundry, Fabric data agent will serve as a knowledge source for Agent Service in Microsoft Azure AI Foundry. This enables the agent to use Fabric as a data hub, tapping into the insights available within Fabric to answer user queries accurately and efficiently. By connecting to Fabric data agent, the agent can retrieve data insights directly from Fabric, allowing consumers to interact with and analyze their Fabric data seamlessly through the AI applications in Azure AI Foundry.","feature_name":"Fabric data agent integration with Azure AI Foundry","last_modified":"2026-08-24","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q4 2025","release_item_id":"b1c46b53-f390-ef11-ac21-6045bd062aa2","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Agentic Fabric: How MCP is turning your data platform into an AI-native operating system","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/agentic-fabric-how-mcp-is-turning-your-data-platform-into-an-ai-native-operating/5172009","feature_description":"As an MCP server, data agent can expose its tools as standardized tools to any AI assistant including VSCode, GitHub Copilot, etc. This allows other AI tools to tap into enterprise data on demand, accelerating AI adoption and ensuring consistent, secure, and auditable access to data agent tools.Data agent MCP server is considered as the main consumption endpoint.","feature_name":"Data Agent as an MCP Server","last_modified":"2026-08-24","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q4 2025","release_item_id":"216667c8-3e68-f011-bec3-000d3a329ecb","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Fabric Data Agent now supports CI/CD, ALM Flow, and Git Integration","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/fabric-data-agent-now-supports-cicd-alm-flow-and-git-integration/5172542","feature_description":"Enable CI/CD for Fabric data agents.A well implemented CI/CD pipeline brings significant benefits: Automated tests integrated into the CI process validate every change to the Data agent's configuration before deployment, catching errors early and ensuring that only reliable updates reach production. A structured deployment process moves changes from a development workspace, through a test workspace that mirrors production, and finally into production, while automatically applying workspace specific configurations. This rapid, reliable iteration not only reduces operational errors but also allows improvements and fixes to be pushed quickly in response to user feedback and evolving business needs, ultimately leading to a better enduser experience.","feature_name":"CI/CD for Fabric Data Agent","last_modified":"2026-08-22","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q1 2026","release_item_id":"4ec0e5ee-2a22-f011-9989-6045bd030c4d","release_status":"Shipped","release_type":"General availability"},{"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 enables secure, private connectivity between your virtual network and Microsoft Fabric, eliminating exposure to the public internet. With Eventstream's integration with Workspace Private Link, you gain granular access control at the workspace level enhancing data security by minimizing the risk of unauthorized access and potential data breaches.","feature_name":"Workspace Private Link for Eventstream's Select Sources & Destinations","last_modified":"2026-08-21","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q4 2026","release_item_id":"cde82016-24a6-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Change your Ontology with confidence. Every saved version is listed newest-first with its timestamp, author, and description, so teams building an Ontology together can always see what changed, who changed it, and roll back to any earlier state.","feature_name":"Ontology Versioning","last_modified":"2026-08-21","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q3 2026","release_item_id":"e52b1f9e-3e40-f111-88b4-000d3a308b7b","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Bring your business metrics into the Ontology. Reference measures that already live in a semantic model so they become part of the Ontology's model of your business -- carrying their name, definition, owner, and calculation logic with them. Because the metric points back to its source rather than copying it, agents and APIs querying the Ontology resolve the same live, trusted calculation your reports use.","feature_name":"Ontology Metrics Authoring","last_modified":"2026-08-21","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q3 2026","release_item_id":"cd2b1f9e-3e40-f111-88b4-000d3a308b7b","release_status":"Planned","release_type":"Public preview"}],"links":{"first":"/api/releases?page_size=50&page=1","last":"/api/releases?page_size=50&page=22","next":"/api/releases?page_size=50&page=2","prev":null,"self":"/api/releases?page_size=50&page=1"},"pagination":{"has_next":true,"has_prev":false,"next_page":2,"page":1,"page_size":50,"prev_page":null,"total_items":1097,"total_pages":22}}