{"data":[{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Identify how applications like Activator and QuerySet contribute to Eventhouse activity. Analyze query volume and activity by application and identify unusual spikes to support informed capacity management.","feature_name":"Monitor Eventhouse activity by application","last_modified":"2026-08-05","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q2 2026","release_item_id":"38e581bb-4541-f111-88b5-6045bd0a8ec1","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Eventhouse Accelerated OneLake Table Shortcuts (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/eventhouse-accelerated-onelake-table-shortcuts-generally-available","feature_description":"You can now join data from OneLake shortcuts in update policies. Use this for dimension lookups, such as enriching ingested fact events with customer, device, or product attributes stored in OneLake shortcut data.The shortcut-backed external table must have Query Acceleration Policy enabled, and Hot duration must cover all data.","feature_name":"Eventhouse Update Policies referencing Accelerated Shortcuts","last_modified":"2026-08-04","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"a144449e-0780-f111-ab0f-6045bd0a8ec1","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Conditional formatting to be available for series in Power BI visuals. This includes lines, markers, and legends.","feature_name":"Conditional formatting for lines and series/labels in Power BI visuals","last_modified":"2026-07-31","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q3 2026","release_item_id":"853c11fa-d11f-f111-8341-6045bd0a8ec1","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Introducing support for Workspace Identity Authentication in Fabric Connectors","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-support-for-workspace-identity-authentication-in-new-fabric-connectors-and-for-dataflow-gen2","feature_description":"Workspace identity auth support for Eventstream Event hub source. Customers can use workspace identity to do the authentication between Eventstream and their event hub source.","feature_name":"Workspace identity auth support for Eventstream Event hub source","last_modified":"2026-07-30","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"246e8c98-903f-f111-88b5-6045bd00f798","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"New Features and Enhancements for Virtual Network Data Gateway","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-features-and-enhancements-for-virtual-network-data-gateway","feature_description":"For VNet data gateways, the fixed node setup can be inefficient during high-demand periods. To improve this, we're introducing auto-scaling, which dynamically adjusts the number of nodes based on demand.","feature_name":"Gateways - Autoscaling gateway clusters for VNet Gateway","last_modified":"2026-07-29","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"78dc21fc-7420-f011-998a-0022480939f0","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"New Dataflow Gen2 data destinations and experience improvements","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-dataflow-gen2-data-destinations-and-experience-improvements","feature_description":"We are introducing PostgreSQL as a new data destination for Dataflow Gen2, enabling customers to publish transformed data from Microsoft Fabric directly into PostgreSQL databases using Dataflow Gen2's low-code Power Query experience.This release expands Dataflow Gen2's destination ecosystem to better support operational, analytical, and application integration scenarios, giving customers a simple and flexible way to operationalize Fabric-based data transformations in PostgreSQL environments.Key benefits and scenarios:* Publish curated outputs from Dataflow Gen2 directly into PostgreSQL databases and tables* Support operational reporting, application integration, and downstream analytics scenarios using PostgreSQL as a serving layer* Enable teams to prepare, standardize, and reshape data in Fabric before delivering it to PostgreSQL-based applications, services, or analytics workloadsThe PostgreSQL data destination helps customers simplify data movement and reduce the need for custom pipelines by combining Fabric's scalable transformation capabilities with PostgreSQL's broad ecosystem compatibility and adoption.This release is part of our broader effort to make Dataflow Gen2 a flexible, low-code transformation layer across data platforms, with continued investments planned to expand destination support and simplify end-to-end data integration experiences in Fabric.","feature_name":"Dataflows - New Destination: PostgreSQL","last_modified":"2026-07-29","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"78a9449f-c85e-f111-a826-000d3a366c85","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Introducing Planning in Microsoft Fabric IQ: From historical data to forecasting the future","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/introducing-planning-in-microsoft-fabric-iq-from-historical-data-to-forecasting-the-future","feature_description":"Planning in Microsoft Fabric is a native enterprise planning capability that brings budgeting, forecasting, and scenario modeling directly into your data platform--eliminating silos between planning, analytics, and AI.Built into Microsoft Fabric, Planning enables business and data teams to collaboratively create, manage, and refine plans on top of governed, real-time data--powering faster, more informed decision-making across the organization.","feature_name":"Fabric Planning","last_modified":"2026-07-29","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q3 2026","release_item_id":"69db5ef2-7f01-f111-8406-000d3a36696c","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Outbound access protection for Data Factory (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/outbound-access-protection-for-data-factory-generally-available","feature_description":"We are delivering Outbound Access Protection for Operations Agent in Microsoft Fabric, enabling administrators to enforce workspace-level security controls on all outbound actions performed by AI-driven automation.With this capability, you canEnsure all outbound actions such as triggering Power Automate flows, executing Fabric jobs, or sending Teams notifications are governed by administrator-defined connection rules.Block outbound connections by default when OAP is enabled, permitting traffic only through approved endpoints to prevent unauthorized data movement.Leverage a hybrid enforcement model that applies direct checks for external services like Teams while using Activator-managed enforcement for workflow and job execution across workspaces.Outbound Access Protection is available in Public Preview for all Fabric customers using Operations Agent. Configure access rules from the workspace security settings.Tentative GA Scope: Activator OAP toggle for OAOntology OAP toggle for OAPower Automate OAP toggle for OA","feature_name":"Outbound access protection for Operations Agent","last_modified":"2026-07-29","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q3 2026","release_item_id":"675ce012-f144-f111-88b5-6045bd006301","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Using Bulk Copy API for faster ingestion in Fabric Data Warehouse (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Using-Bulk-Copy-API-for-faster-ingestion-in-Fabric-Data/ba-p/5195627","feature_description":"Fabric Data Warehouse will support the bcp utility and the TDS Bulk Load API, enabling high-performance data ingestion from a variety of client tools such as bcp, SSIS, and Azure Data Factory. This integration simplifies bulk data loading into Fabric DW and supports scalable, efficient workflows. Centralized support for these APIs ensures consistency across ingestion pipelines and improves interoperability with existing tools.<br/>An example of a bcp command that loads file content into a DW table:<br/>```bcp dbo.artists in gold_artist.txt -d TextDW -c -S myworkspace.datawarehouse.fabric.microsoft.com -G -U theuser@microsoft.com ```","feature_name":"BCP","last_modified":"2026-07-29","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q2 2026","release_item_id":"d58f4693-ca80-ef11-ac21-6045bd062aa2","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Fabric Data Warehouse will introduce string similarity and comparison functions based on Levenshtein and Jaro-Winkler algorithms. These functions make it easier to find strings that are similar, even when they have small changes or spelling errors.New functions that will be added are:* EDIT_DISTANCE - Returns the number of edits (insertions, deletions, substitutions) needed to transform one string into another.* EDIT_DISTANCE_SIMILARITY - Calculates a similarity score (0-1) based on Levenshtein distance, where 1 means identical strings.* JARO_WINKLER_DISTANCE - Measures the distance between two strings using the Jaro-Winkler algorithm, considering transpositions and common prefixes.* JARO_WINKLER_SIMILARITY - Returns a similarity score (0-1) using Jaro-Winkler, optimized for short strings and minor typos.","feature_name":"Fuzzy string matching","last_modified":"2026-07-29","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q2 2026","release_item_id":"9b0e4fae-ecb8-f011-bbd3-000d3a30273e","release_status":"Shipped","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","feature_name":"SQL Analytics Endpoint - New Metadata sync","last_modified":"2026-07-29","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":"Announcing SQL database in Microsoft Fabric (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-sql-database-in-microsoft-fabric-public-preview","feature_description":"Users should be able to restore a database from backups of a deleted database in their workspaces.","feature_name":"Fabric SQL | Point-in-time restore from dropped databases REST APIs ONLY | Public Preview","last_modified":"2026-07-29","product_id":"347da228-ea54-ef11-a317-0022480a694f","product_name":"SQL database","release_date":"Q2 2026","release_item_id":"49834652-a41b-f011-9989-000d3a34671f","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Extending Point-in-Time Retention in Fabric SQL DB: From 7 to 35 Days","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/extending-point-in-time-retention-in-fabric-sql-db-from-7-to-35-days","feature_description":"Backup retention policy is the capability to change the retention period which allows users to adjust the duration for which automated backups are maintained for a SQL database artifact. This feature directly affects point-in-time restore capability (specific period in which user can choose the specific point in time to restore their database to).","feature_name":"Fabric SQL | Public Preview | Extend Backup Retention Policy to 35 days","last_modified":"2026-07-29","product_id":"347da228-ea54-ef11-a317-0022480a694f","product_name":"SQL database","release_date":"Q3 2025","release_item_id":"608d20dd-a31b-f011-9989-000d3a34671f","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Announcing Eventhouse Query Acceleration for OneLake Shortcuts (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-query-acceleration-for-onelake-shortcuts-public-preview","feature_description":"On the data exploration front, the new Lakehouse Query Explorer introduces a streamlined, in-context query experience directly within the Lakehouse. Users can write and run Spark SQL queries right from the Lakehouse explorer to quickly discover and analyze data, with intelligent suggestions and real-time error prevention all without needing to navigate to a notebook. Results can be saved as Spark Views, visualized as charts, filtered, sorted, and downloaded, with rich contextual information throughout. When deeper analysis is required, code can be seamlessly promoted into a notebook for more complex processing, bridging the gap between ad-hoc exploration and production-grade data engineering.","feature_name":"Lakehouse Query Window","last_modified":"2026-07-27","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q2 2026","release_item_id":"e5bc7caf-294e-f111-bec7-000d3a376137","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Fabric Runtime 1.3 is Generally Available! Upgrade your data engineering and science workloads to harness the latest innovations and performance enhancements","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/fabric-runtime-1-3-is-generally-available-upgrade-your-data-engineering-and-science-workloads-to-harness-the-latest-innovations-and-performance-enhancements","feature_description":"We are upgrading the underlying operating system of Fabric Runtime 1.3 from Mariner 2.0 to Mariner 3.0, delivering improved security, performance, and long-term support for Apache Spark workloads. This upgrade brings the latest OS-level patches, enhanced container compatibility, and a modernized base image that aligns with the latest Azure infrastructure standards.To ensure a smooth transition, the upgrade leverages the Runtime Release Channel feature, which allows customers to preview and validate the Mariner 3.0-based runtime before it becomes the default. Data engineers can switch to the release candidate channel in their environment settings, run their existing workloads, and confirm compatibility -- all before the update is applied across their organization.Key benefits include:Enhanced security posture with the latest OS-level patches and hardeningImproved performance from the modernized Mariner 3.0 baseCustomer-controlled validation through the release channel, reducing risk of unexpected issuesContinued compatibility with all existing Runtime 1.3 workloads and librariesThe Mariner 3.0 upgrade is available through Fabric environment settings with no additional configuration required.Business Value: Strengthens the security and performance foundation of Fabric Runtime 1.3 by upgrading to Mariner 3.0, while giving customers the ability to validate the change before it rolls out to production.","feature_name":"Fabric Runtime 1.3 Mariner 3.0 Upgrade","last_modified":"2026-07-27","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q2 2026","release_item_id":"b8bed2a5-5943-f111-88b5-6045bd0a886d","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Fabric Runtime Release Channels","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Fabric-Runtime-Release-Channels/ba-p/5240330","feature_description":"This feature enables multiple runtime channels for customers. The default channel will remain the current standard runtime, while an EarlyAccess channel will provide the latest updates - such as library upgrades and security vulnerability fix..Using Spark settings in the environment, customers can test and validate these changes early, before they become part of the default runtime channel.","feature_name":"Fabric Release Channel - Public Preview","last_modified":"2026-07-27","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q2 2026","release_item_id":"399f07f8-96ba-f011-bbd3-00224808fcf0","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Configure and manage Activator rules directly in Eventstream (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/configure-and-manage-activator-rules-directly-in-eventstream-preview","feature_description":"The new Activator Alert feature in Eventstream allows users to set up alerts in a single step, streamlining the process. With this enhancement, customers can quickly create alerts directly within Eventstream, saving time and reducing complexity.","feature_name":"Eventstream Integrated Activator Alert Setup Experience","last_modified":"2026-07-24","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"3aac4279-ca3d-f111-88b5-6045bd0066ad","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Inline Scalar user-defined functions (UDFs) in Microsoft Fabric Warehouse (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/inline-scalar-user-defined-functions-udfs-in-microsoft-fabric-warehouse-preview","feature_description":"SQL native, computation-based scalar UDFs now support WHILE loops, multiple RETURN statements and deeply nested IF-THEN-ELSE blocks in the function body. They can also be used in queries that include Common Table Expressions (CTEs), and within GROUP BY, HAVING, and ORDER BY clauses.","feature_name":"Scalar User-defined functions (UDFs) - Procedural SQL","last_modified":"2026-07-21","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q3 2026","release_item_id":"c418b243-333f-f111-88b5-6045bd0a8ec1","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Eventhouse Accelerated OneLake Table Shortcuts (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/eventhouse-accelerated-onelake-table-shortcuts-generally-available","feature_description":"We are expanding update policies in Eventhouse to support referencing shortcuts aka. external tables backed by the Query Acceleration Policy (QAP) in Microsoft Fabric Real-Time Intelligence. With this update, you can build update policies that references or joins data directly from OneLake delta table and other supported storage locations.With this capability, you can:- Build richer transformations that join streaming data with reference data stored in OneLake, lakehouses, or external storage.","feature_name":"Eventhouse: Reference Accelerated Shortcuts in Update Policy","last_modified":"2026-07-20","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"4c1e5d6a-ff3f-f111-88b5-002248085b3f","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"New Eventstream sources: MQTT, Solace PubSub+, Azure Data Explorer, Weather & Azure Event Grid","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-eventstream-sources-mqtt-solace-pubsub-azure-data-explorer-weather-event-grid","feature_description":"This feature enables Eventstream to propagate and expose source system metadata (such as headers and properties) alongside event data, allowing users to access, route, and process events using that metadata across connectors and query experiences","feature_name":"Eventstream Event Metadata Propagation","last_modified":"2026-07-16","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"bf0b473d-cb3d-f111-88b5-6045bd0066ad","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Terraform Provider for Microsoft Fabric (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/terraform-provider-for-microsoft-fabric-now-generally-available","feature_description":"# Fabric Terraform Provider Changes## New Resources and Data Sources| Feature | Type | Description ||---|---|---|| `fabric_operations_agent` | Data source | Added support for retrieving Operations Agent configuration || `fabric_operations_agent` | Resource | Added support for managing Operations Agent resources || `fabric_data_agent` | Data source | Added support for retrieving Data Agent configuration || `fabric_data_agent` | Resource | Added support for managing Data Agent resources || `fabric_eventstream_destination_connection` | Data source | Added support for retrieving Eventstream Destination Connection configuration || `fabric_eventstream_destination_connection` | Ephemeral resource | Added support for ephemeral Eventstream Destination Connection operations || `fabric_warehouse_sql_audit_settings` | Resource | Added support for managing Warehouse SQL Audit Settings || `fabric_warehouse_sql_audit_settings` | Data source | Added support for retrieving Warehouse SQL Audit Settings |## Enhancements| Feature | Type | Description ||---|---|---|| `shortcut_conflict_policy` attribute in `fabric_shortcut` resource | Enhancement | Added support for configuring shortcut conflict handling behavior || `one_drive_share_point` attribute in `fabric_shortcut` resource | Enhancement | Added support for OneDrive and SharePoint shortcut configuration || `one_drive_share_point` attribute in `fabric_shortcut` data source | Enhancement | Added support for retrieving OneDrive and SharePoint shortcut configuration || `allow_usage_in_user_controlled_code` attribute in `fabric_connection` resource and data source | Enhancement | Added support for controlling usage in user-controlled code scenarios || DataPipeline Execute job type support in `fabric_item_job_scheduler` resource and data source | Enhancement | Added support for scheduling and retrieving DataPipeline Execute job types |## SummaryThis update expands Fabric Terraform provider capabilities with:- New support for Fabric Agents resources and data sources- Eventstream destination connection support- Warehouse SQL Audit Settings management- Enhanced shortcut configuration capabilities- Improved connection configuration controls- Additional DataPipeline job scheduling support","feature_name":"Terraform Provider for Fabric V1.11.0","last_modified":"2026-07-16","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q2 2026","release_item_id":"ffb33b61-f380-f111-ab0f-6045bd00f506","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Terraform Provider for Microsoft Fabric (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/terraform-provider-for-microsoft-fabric-now-generally-available","feature_description":"# Fabric Terraform Provider Changes## New Resources and Data Sources| Feature | Type | Description ||---|---|---|| `fabric_onelake_data_access_security` | Data source | Added support for retrieving OneLake Data Access Security configuration || `fabric_onelake_data_access_security` | Resource | Added support for managing OneLake Data Access Security configuration || `fabric_mirrored_catalog` | Resource | Added support for managing Mirrored Catalog resources || `fabric_mirrored_catalog` | Data source | Added support for retrieving a Mirrored Catalog || `fabric_mirrored_catalogs` | Data source | Added support for retrieving multiple Mirrored Catalogs |## Enhancements| Feature | Type | Description ||---|---|---|| Tags support in `fabric_item` data source | Enhancement | Added support for retrieving tags associated with Fabric items || Tags support in `fabric_item` resource | Enhancement | Added support for managing tags associated with Fabric items |## SummaryThis update expands Fabric Terraform provider capabilities with:- OneLake Data Access Security management support- Mirrored Catalog resource and data source support- Improved metadata management through Fabric item tag support","feature_name":"Terraform Provider for Fabric V1.12.0","last_modified":"2026-07-16","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q2 2026","release_item_id":"a01bdd91-f480-f111-ab0f-6045bd00f506","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"We are adding root cause analysis and investigate capabilities to the Operations Agent in Microsoft Fabric Real-Time Intelligence. With this update, when an anomaly or alert fires, the Operations Agent helps you understand why it happened by automatically correlating signals across your operational data and surfacing the most likely causal factors.With this capability, you can:- Move from "an alert fired" to "this is why it fired" without manually pivoting across dashboards and queries.- Correlate metrics, logs, and related entities to find contributing factors and time-aligned changes.- Drill into suggested causal paths and validate them against the underlying data in Eventhouse.The feature is rolling out in Public Preview to all Fabric customers using the Operations Agent. It works on data already flowing through your Eventhouse and requires no additional setup beyond having alerts or anomaly detection configured.","feature_name":"Root Cause Analysis in Operations Agent","last_modified":"2026-07-15","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2026","release_item_id":"0733b6d7-0440-f111-88b5-002248085b3f","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The Data Agent is now better at selecting the right data source when answering your questions--especially in setups with multiple sources. It more effectively evaluates schema, example queries, and source descriptions to determine the best place to route each request. This leads to more accurate results and fewer misrouted queries across both SQL, Semantic Model, and KQL sources.","feature_name":"Improved Data Agent Routing Across Sources","last_modified":"2026-07-15","product_id":"951b64e0-a663-f111-a826-6045bd00f798","product_name":"Conversational Analytics","release_date":"Q2 2026","release_item_id":"4493d060-d848-f111-bec7-6045bd0a8ec1","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Event-Driven Copy Job Execution with Fabric Activator (Generally Available)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Event-Driven-Copy-Job-Execution-with-Fabric-Activator-Generally/ba-p/5195808","feature_description":"Fabric Activator can trigger Copy job executions in a native way, allowing event-driven scenarios without pipeline where a file landing in storage automatically initiates a Copy job.","feature_name":"Copy job - Activator support for triggering Copy jobs","last_modified":"2026-07-13","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q2 2026","release_item_id":"8943d03e-433d-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://blog.fabric.microsoft.com/en-us/blog/introducing-new-branching-capabilities-in-fabric-git-integration","feature_description":"Today, when a Fabric workspace is connected to a Git repository, only workspace admins can switch the selected branch. With this change, Contributor and above users can also switch branches. Additionally, Contributor and above users will be able to branch out to existing workspaces that have this setting enabled, even if they aren't admins on the target workspace. This new capability will be available via Fabric UI and Fabric REST API.","feature_name":"Git Integration - Allow contributor and above users to switch branch","last_modified":"2026-07-08","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q3 2026","release_item_id":"75a4fb7b-8452-f111-bec6-6045bd00f798","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"This improvement to Power BI's Org Apps will add support for defining user access and content display by audience(s), like the functionality in Power BI workspace apps. Audiences will allow for conditional display of content in the org app according to the audience or audiences a user belongs to. For instance, app creators can create one audience that can see only a subset of report within the app, but another audience with managerial oversite to make use of all of the reporting.","feature_name":"Audience support in Org Apps","last_modified":"2026-07-08","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q2 2026","release_item_id":"c70db653-4d92-ef11-ac21-6045bd062aa2","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Org Apps allows you to easily create different apps for different pruposes with full source control support. 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