{"data":[{"active":true,"blog_title":"SSMS 22 Meets Fabric Data Warehouse: Evolving the Developer Experiences","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/ssms-22-meets-fabric-data-warehouse-evolving-the-developer-experiences","feature_description":"SMS 22.5 introduces the following capabilities for managing Fabric Warehouse:* Create, Delete and rename Fabric Warehouses directly from SSMS* Open Fabric Warehouses and SQL Analytics Endpoints seamlessly in the Fabric web portal","feature_name":"SSMS 22.5 support for Fabric Warehouse","last_modified":"2026-04-19","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-04-14","release_item_id":"19c79bf9-a6ec-f011-8544-002248096d54","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"SSMS 22 Meets Fabric Data Warehouse: Evolving the Developer Experiences","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/ssms-22-meets-fabric-data-warehouse-evolving-the-developer-experiences","feature_description":"SSMS 22.3 provides key capabilities for Fabric Warehouse, including:* Browse and Connectivity: Explore and connect to Fabric Warehouses directly from SSMS.* Warehouse Actions: Ability to extract the definition of a warehouse from SSMS using Export Data tier application.","feature_name":"SSMS 22.3 Support for Fabric Warehouse","last_modified":"2026-04-19","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-02-20","release_item_id":"6aa6c918-e3b8-f011-bbd3-6045bd05dd14","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Fast copy in Dataflows Gen2","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/fast-copy-in-dataflows-gen-2","feature_description":"Partitioned Compute is a capability of Dataflow Gen2 that enables parts of a dataflow to run in parallel, reducing the time to finish its evaluations.Partitioned compute targets scenarios where the Dataflow engine can efficiently fold operations that can partition the data source and process each partition in parallel. For example, in a scenario where you're connecting to multiple files stored in an Azure Data Lake Storage Gen2, you can partition the list of files from your source, efficiently retrieve the partitioned list of files using query folding, use the combine files experience, and process all files in parallel.By moving to GA, Partitioned Compute becomes a stable, supported foundation for performant and highly scalable data transformation in Fabric.","feature_name":"Dataflows - Dataflows Gen2 Partitioned Compute","last_modified":"2026-04-16","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-06-02","release_item_id":"385260b0-5b07-ef11-9f89-000d3a34b75c","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Running Apache Airflow jobs seamlessly in Microsoft Fabric","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/running-apache-airflow-jobs-seamlessly-in-microsoft-fabric","feature_description":"Apache Airflow jobs in Fabric provide the most effective and easy way to build DAG workflows using our built-in Python code editor. Now that we have enabled workpsace identity (WI) support for our Fabric providers, orchestrating Fabric jobs from Airflow is super easy.","feature_name":"Airflow - Workspace Identity Support","last_modified":"2026-04-16","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-06-01","release_item_id":"d5aeaf0b-2701-f111-8406-000d3a376137","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Resource Links let you attach resources to the entity types they describe, so insights live alongside the data model that powers them. 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To read a JSONL file, use the existing OPENROWSET(BULK) syntax:```SELECT TOP 10 *FROM OPENROWSET(  BULK 'https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/bing_covid-19_data/latest/bing_covid-19_data.jsonl')```","feature_name":"OPENROWSET(JSONL)","last_modified":"2026-04-16","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2025-07-09","release_item_id":"788fc62e-7d57-f011-877a-000d3a34671f","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"IDENTITY Columns in Fabric Data Warehouse (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/identity-columns-in-fabric-data-warehouse-preview","feature_description":"Identity columns are numeric columns that automatically increment with each new row value that is inserted into a table with an Identity column defined.","feature_name":"Identity columns","last_modified":"2026-04-15","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-07-31","release_item_id":"d7c986cd-1322-f011-998a-0022480939f0","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Announcing Data Clustering in Fabric Data Warehouse (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-data-clustering-in-fabric-data-warehouse-preview","feature_description":"Data Clustering enables faster read performance by allowing users to specify columns for co-locating data on ingestion and perform file skipping on read.","feature_name":"Data Clustering","last_modified":"2026-04-15","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-07-31","release_item_id":"5cd4b9a0-1322-f011-998a-0022480939f0","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Build real-time order notifications with Eventstream\u2019s CDC connector","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/build-real-time-order-notifications-with-eventstreams-cdc-connector","feature_description":"The Oracle CDC connector for Eventstream captures database changes from Oracle Database and streams them into Eventstream for real-time processing and analysis.","feature_name":"Eventstream Connector: Oracle DB CDC","last_modified":"2026-04-15","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-06-30","release_item_id":"261ebeae-e420-f011-9989-000d3a302e4a","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Allow users to create custom groups for their open tabs","feature_name":"Organize multitasking tabs in groups","last_modified":"2026-04-15","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"2026-05-18","release_item_id":"a5e7e388-2eba-f011-bbd3-000d3a30273e","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Currently, users can open multiple workspaces simultaneously and switch between them via the navigation bar. 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If any part of the transaction fails, everything is rolled back, preserving data integrity. This capability is especially useful for automated pipelines and CI/CD workflows, where schema changes must be applied safely and predictably.With this release, Fabric Data Warehouse supports executing the following inside an explicit transaction:ALTER TABLE Add nullable columnsALTER TABLE Drop columnsALTER TABLE Add or drop NOT ENFORCED PRIMARY KEY, UNIQUE, and FOREIGN KEY constraintsExecute multiple ALTER TABLE statements atomicallyALTER distributed temporary tablesIf any operation fails, the entire transaction is rolled back automatically.","feature_name":"ALTER TABLE support inside transactions (Generally Available)","last_modified":"2026-04-15","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-04-13","release_item_id":"efc9cb1a-4597-f011-b4cc-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Fabric Spark Monitoring APIs (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/general-availability-announcement-fabric-spark-monitoring-apis","feature_description":"This feature provides an integrated, real-time dashboard for monitoring Spark application performance at both the driver and executor levels. Users can visualize CPU, memory, and core utilization across running and completed Spark applications--whether triggered through interactive notebooks or batch jobs. The dashboard aligns with the Fabric SaaS experience and enhances visibility into Spark vCore allocation and utilization.Users can inspect performance metrics at any moment in the application lifecycle, analyze utilization patterns, and access recommended actions to address bottlenecks. 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We plan to expand the govern experience to include central bulk management features such as policies, domains, capacities, and tags. By combining insights, recommended actions, and flexbile management capabilities, Admins can boost their effectiveness and strengthen organizational governance.","feature_name":"OneLake Catalog - Govern with centralized management capabilities","last_modified":"2026-04-13","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-10-30","release_item_id":"184cc3ee-22b8-f011-bbd3-000d3a3740cc","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Govern in OneLake Catalog for Fabric admins (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/onelake-catalog-govern-for-fabric-admins","feature_description":"With one click, Copilot automatically generates rich descriptions for semantic model items in OneLake Catalog. 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New User and Admin APIs also allow for the automation of workspace operations based on tags - streamlining tasks such as resource cleanup, usage tracking, and compliance validation.","feature_name":"Workspace tagging","last_modified":"2026-04-13","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-03-31","release_item_id":"c49f9680-33b3-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"What\u2019s new in OneLake catalog: Data governance and more","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/whats-new-in-onelake-catalog-data-governance-and-more","feature_description":"The OneLake catalog now exposes public APIs for search and discovery, providing programmatic access to catalog metadata across Microsoft Fabric. These APIs power relevancy-ranked search, rich filters, and faceted exploration across items, and are natively available through the Fabric MCP server, enabling AI agents to autonomously discover Fabric content across workspaces.","feature_name":"OneLake catalog - Public APIs","last_modified":"2026-04-13","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-03-31","release_item_id":"7ff0d0de-5020-f011-9989-6045bd030c4d","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Semantic Link: OneLake integrated Semantic Models","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/semantic-link-onelake-integrated-semantic-models","feature_description":"Auto-Description uses Copilot to generate clear, relevant descriptions for semantic models in the OneLake catalog.Item owners can quickly review, refine, and publish these descriptions to save time and improve discoverability, search relevance, and overall understanding of each model.","feature_name":"OneLake catalog - Automatic description with Copilot for Semantic models","last_modified":"2026-04-13","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-03-31","release_item_id":"09bbedaf-e800-f111-8406-6045bd0a8ec1","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Govern in OneLake Catalog for Fabric admins (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/onelake-catalog-govern-for-fabric-admins","feature_description":"Today, the Goven tab in OneLake Catalog, is a central place for data owners to find insights on their data, get recommended actions and find all the available solutions in Fabric.We are extending the experience to allow Fabric admins to gain insights, get recommended actions and find all Fabric solutions available for them.Admins will be able to see information about their entire tenant, such as inventory insights on domains, capacities, workspaces, item operations ,Capacities and domains state, protection state (sensitivity label coverage, information on DLP and more), curations state (description, tags, endorsement)Recommended actions will focus the Admins on steps they should take in order to optimize the tenant usage, surface problematic items, and promote housekeeping.Additionally, the experience includes all the solutions available for admins in Fabric and important links that can help to promote user's knowledge on Fabric to better utilize the system.","feature_name":"OneLake catalog -  Govern for Administrators","last_modified":"2026-04-13","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-03-30","release_item_id":"a328d155-cf01-f111-8406-6045bd0a8ec1","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"What\u2019s new in OneLake catalog: Data governance and more","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/whats-new-in-onelake-catalog-data-governance-and-more","feature_description":"We're enhancing the OneLake catalog browse experience to surface tables and columns across all Fabric data items. Today, visibility is limited to select Lakehouse tables (schema-disabled), SM, and Warehouse. Over the coming  months, we're rolling out support for Mirroring, all Lakehouses, Fabric SQL DB, Cosmos DB, KQL DB, and more--making schema exploration seamless and consistent across the platform.","feature_name":"Expanding OneLake catalog discoverability with data tables and columns","last_modified":"2026-04-13","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-03-24","release_item_id":"4a26c768-1ea4-f011-bbd3-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Sensitivity labels in Fabric for public APIs (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/sensitivity-labels-in-fabric-for-public-apis-generally-available","feature_description":"Fabric now includes Public APIs to enable users to fetch item's sensitivity id in List Items, Get Item and Create item public APIs. With this release customers that are building their own governance and data managment solutions will have more options to incorporate sensitivity labels in expeirences outside of Fabric.","feature_name":"Data protection: Sensitivity labels in Public APIs","last_modified":"2026-04-13","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-02-16","release_item_id":"7430b6f3-0cb8-f011-bbd3-000d3a5b0efa","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Govern in OneLake Catalog for Fabric admins (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/onelake-catalog-govern-for-fabric-admins","feature_description":"The OneLake catalog is a comprehensive solution designed to explore, manage, and govern your entire Fabric data estate. OneLake catalog empowers all Fabric users to discover and manage trusted data. The catalog provides governance for data owners with valuable insights, recommended actions, and tooling. It features two main tabs: Explore and Govern. In the Explore tab, users can explore and manage all the Fabric items they have access to in one central location, with filters for domains, item type, owner, endorsement, tags, and more. Users can double-click on a Fabric item to take actions or explore its description, data lineage, permissions, and activity. We are excited to introduce several new capabilities and enhancements to the OneLake catalog Explore experience:**Parent-child relationships made easier** Explore your data with improved organization by viewing parent items alongside their attached children. For example, a Lakehouse and its SQL-endpoint will now appear in a hierarchical view, where the Lakehouse is the parent and the SQL-endpoint is its child.***Copilot for exploration**: Introducing Copilot for exploration, which provides Semantic model summaries to help users better understand and manage their data. **Catalog in Excel in Insiders Slow ring**: Users can now explore the OneLake catalog directly within Excel, making it easier to discover and and analyze data. -- Available in Office Insiders Slow.","feature_name":"Fabric OneLake catalog - Enhanced Exploration","last_modified":"2026-04-13","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2026-02-12","release_item_id":"86a39e25-2f62-f011-bec2-000d3a302e4a","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The goal of this work is to make real-time dashboards smarter and more cost-efficient by: Refreshing only when new data is ingested in the underlying sources, using lightweight detection queries based on ingestion_time(). Reducing redundant queries and system load while ensuring users always see up-to-date insights when they open or monitor a dashboard. Providing a seamless fallback for data sources/tables that do not support ingestion_time().","feature_name":"RTD Live Update feature","last_modified":"2026-04-12","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-04-30","release_item_id":"92bffcc0-bf04-f111-8406-6045bd0066ad","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Creating a Real Time Dashboard (RTD) using Copilot","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/creating-a-real-time-dashboard-rtd-using-copilot","feature_description":"","feature_name":"RTD time series visualization","last_modified":"2026-04-12","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-04-30","release_item_id":"5a776051-c004-f111-8406-6045bd0066ad","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Set alerts on Real-time Dashboards with Data Activator triggers","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-alerts-over-real-time-dashboards-with-data-activator-triggers-preview","feature_description":"Integrate Activator with Data Warehouse allowing alerting on top of business data quries as well as meta data and perf data.","feature_name":"Activator alerts and rules on top of Data Warehouse queries","last_modified":"2026-04-12","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-03-31","release_item_id":"4ffa3a83-f51f-f011-998a-0022480939f0","release_status":"Shipped","release_type":"Public preview"}],"links":{"first":"/api/releases?modified_within_days=7&page_size=50&page=1","last":"/api/releases?modified_within_days=7&page_size=50&page=1","next":null,"prev":null,"self":"/api/releases?modified_within_days=7&page_size=50&page=1"},"pagination":{"has_next":false,"has_prev":false,"next_page":null,"page":1,"page_size":50,"prev_page":null,"total_items":27,"total_pages":1}}