{"data":[{"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":null,"blog_url":null,"feature_description":"The EXTERNAL DATA SOURCE feature allows you to define a root URI that can be referenced by name in OPENROWSET and BULK INSERT operations. By using the DATA SOURCE option, you can reference files using relative paths, eliminating the need to specify long absolute URIs.","feature_name":"External data sources","last_modified":"2026-04-16","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2025-09-30","release_item_id":"d153a715-e29d-f011-b41c-000d3a30273e","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Query and ingest JSONL files in Data Warehouse and SQL Analytics Endpoint for Lakehouse (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/query-and-ingest-jsonl-files-in-data-warehouse-and-sql-endpoint-for-lakehouse-general-availability","feature_description":"The OPENROWSET(BULK) function allows you to query external data (such as CSV and Parquet files) stored in the lake using the T-SQL syntax. With JSONL support, you can now also query JSON Lines files, expanding the range of supported formats and simplifying access to semi-structured data. 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":null,"blog_url":null,"feature_description":"Currently, users can open multiple workspaces simultaneously and switch between them via the navigation bar. However, the order of these workspace icons is fixed based on the sequence in which they were opened.This creates friction for users who frequently multitask across workspaces and want to organize their open items in a way that better reflects their workflow priorities.This feature allows users to reorder open workspace icons in the navigation bar through drag-and-drop interaction, enabling greater control and efficiency in multitasking.","feature_name":"Allow users to reorder open workspaces in the nav bar","last_modified":"2026-04-15","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"2026-04-20","release_item_id":"11114dc9-41ba-f011-bbd3-000d3a30273e","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"ALTER TABLE inside explicit transactions in Fabric Data Warehouse (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/alter-table-inside-explicit-transactions-in-fabric-data-warehouse-generally-available","feature_description":"Treating schema changes as transactional aligns with atomicity and isolation guarantees. 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":"Announcing the Fabric Apache Spark Diagnostic Emitter: Collect Logs and Metrics","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-the-fabric-apache-spark-diagnostic-emitter-collect-logs-and-metrics","feature_description":"This feature is intended to announce the General Availability of the Fabric Spark diagnostic emitter. The Spark emitter enables customers to send Spark logs and metrics to their preferred destinations, including Azure Log Analytics, Azure Event Hub, and Azure Blob Storage.","feature_name":"Fabric Spark Diagnostic Log Emitter: General Availability","last_modified":"2026-04-14","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"2026-03-31","release_item_id":"2ff1693f-85ba-f011-bbd3-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Find and manage workspaces faster with workspace tags (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/find-and-manage-workspaces-faster-with-workspace-tags-generally-available","feature_description":"Tagging capabilities are expanding to include entire workspaces. This enhancement delivers powerful management and governance at scale, enabling organizations to classify, organize, and discover workspaces alongside their associated items more efficiently. 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":"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":null,"blog_url":null,"feature_description":"Full query text support in the Query Insights captures enables precise troubleshooting and analysis without the previous 8,000-character truncation limit.","feature_name":"Full Query Text in Query Insights","last_modified":"2026-04-10","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-03-10","release_item_id":"58bab3d6-4e01-f111-8406-000d3a376137","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Quickly identify when and where throttling is occurring across your Eventhouse system. This feature highlights recent throttling events, helping you diagnose performance bottlenecks and take corrective action before they impact users.","feature_name":"show Throttling events of eventhouse at Eventhouse WS monitoring","last_modified":"2026-04-09","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-05-05","release_item_id":"2d60a7e8-b555-f011-877a-00224804ca88","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Introducing Eventhouse Endpoint for Fabric Data Warehouse: Real-Time Analytics, Unified Architecture","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-eventhouse-endpoint-for-fabric-data-warehouse-real-time-analytics-unified-architecture","feature_description":"The Eventhouse endpoint is a powerful feature in Microsoft Fabric that enables users to query tables with exceptional speed and ease. It allows for real-time insights across your data estate, supporting structured, semi-structured, and unstructured data analysis. This endpoint transforms Fabric into a true real-time analytics platform, combining the simplicity of batch analytics with the responsiveness of event streaming. Additionally, it extends the architecture to structured data sources, allowing users to query Fabric Data Warehouse tables in real-time using KQL. Overall, Eventhouse is designed for managing both streaming and batch data, making it a game-changer for large-scale data operations","feature_name":"Eventhouse Endpoint for DWH","last_modified":"2026-04-09","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-04-30","release_item_id":"e2e8767a-5df1-f011-8406-6045bd026004","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Mirroring for Oracle in Microsoft Fabric (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/mirroring-for-oracle-in-microsoft-fabric-preview","feature_description":"Mirroring support Oracle as General availability","feature_name":"Mirroring - Oracle","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"78b6ff36-22f3-f011-8407-000d3a33bffb","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Simplifying Data Ingestion with Copy job \u2013 More File Formats with Enhancements","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/simplifying-data-ingestion-with-copy-job-more-file-formats-with-enhancements","feature_description":"Copy job can be used to copy more file formats including ORC, Excel, Avro, XML.","feature_name":"Copy job - Support more file formats: ORC, Excel, Avro, XML","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2025-11-18","release_item_id":"e1d73f32-b99a-f011-b4cc-000d3a5b0efa","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"User-Defined Functions (UDFs) allow you to encapsulate reusable, parameterized DAX logic into named functions that  can be called across measures, calculated columns, and visual calculations throughout your semantic model. UDFs  support both value and expression parameters, enabling you to centralize complex business logic--like tax  calculations or currency conversions--so it's written once and maintained in a single place. Functions can be created  in DAX Query View or TMDL View and appear as first-class objects under a dedicated "Functions" node in Model  Explorer","feature_name":"DAX User Defined Functions","last_modified":"2026-04-08","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-06-01","release_item_id":"e48e6300-9a33-f111-88b4-6045bd00fc61","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"OneLake File Explorer: Smarter, More Reliable, and Seamlessly Integrated","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/onelake-file-explorer-smarter-more-reliable-and-seamlessly-integrated","feature_description":"OneLake file explorer will offer the full support that comes with Generally Availablity (GA). The OneLake file explorer application seamlessly integrates OneLake with Windows File Explorer. This application automatically syncs all OneLake items that you have access to in Windows File Explorer."Sync" refers to pulling up-to-date metadata on files and folders, and sending changes made locally to the OneLake service. Syncing doesn't download the data, it creates placeholders. You must double-click on a file to download the data locally.When you create, update, or delete a file via Windows File Explorer, it automatically syncs the changes to OneLake service. Updates to your item made outside of your File Explorer aren't automatically synced. To pull these updates, you need to right-click on the item or subfolder in Windows File Explorer and select OneLake > Sync from OneLake.","feature_name":"OneLake file explorer GA","last_modified":"2026-04-08","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"2026-04-15","release_item_id":"c265c7b8-09b9-f011-bbd3-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Simplifying Data Ingestion with Copy job \u2013 Introducing Change Data Capture (CDC) Support (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/simplifying-data-ingestion-with-copy-job-introducing-change-data-capture-cdc-support","feature_description":"The Change Data Capture (CDC) capability in Copy Job is generally available.","feature_name":"Copy Job -  Change Data Capture (CDC) capability GA","last_modified":"2026-04-07","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-30","release_item_id":"c4e7283e-6821-f011-998a-0022480939f0","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Ability to configure the data warehouse retention between 1 to 120 days;","feature_name":"Configurable Retention between 1-120 days","last_modified":"2026-04-04","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-09-01","release_item_id":"dfb17dba-0d22-f011-998a-0022480939f0","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Workspace-Level Private Link in Microsoft Fabric (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-general-availability-of-workspace-level-private-link-in-microsoft-fabric","feature_description":"Fabric now connects to Azure Databricks workspaces secured with Azure Private Link.","feature_name":"Support Databricks workspaces behind private links","last_modified":"2026-04-03","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"2026-01-30","release_item_id":"6946f1ec-7a74-f011-bec3-0022480939f0","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Outbound Access\u00a0Protection for Spark (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/workspace-outbound-access-protection-for-spark-is-now-generally-available","feature_description":"This feature enables Fabric enterprise customers to use ML models in Outbound Access Protection (OAP) enabled workspace and prevent sensitive data from getting exfiltrated.","feature_name":"Outbound Access Protection for ML Model","last_modified":"2026-04-02","product_id":"0522b590-dcd6-ee11-9079-000d3a310f67","product_name":"Data Science","release_date":"2026-03-31","release_item_id":"e3b77c88-c4bb-f011-bbd3-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Outbound Access\u00a0Protection for Spark (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/workspace-outbound-access-protection-for-spark-is-now-generally-available","feature_description":"This feature allow fabric enterprise customers to use ML experiments in Outbound Access Protection enabled workspace and prevent sensitive data from getting exfiltrated.","feature_name":"Outbound Access Protection for ML Experiment","last_modified":"2026-04-02","product_id":"0522b590-dcd6-ee11-9079-000d3a310f67","product_name":"Data Science","release_date":"2026-03-31","release_item_id":"b5548630-c4bb-f011-bbd3-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"With translytical task flows, you can automate end-user actions like updating records, adding annotations, or creating workflows that trigger actions. Simply add a button in your Power BI report and link it to your Fabric user data function.","feature_name":"Translytical task flows","last_modified":"2026-04-02","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-03-16","release_item_id":"5390b772-41c4-f011-bbd3-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Outbound Access\u00a0Protection for Spark (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/workspace-outbound-access-protection-for-spark-is-now-generally-available","feature_description":"Fabric administrators want to ensure that data in Fabric isnt exfiltrated to unpermitted destinations outside of Fabric unintentionally or by due to  malicious intent . In this milestone, we will provide controls to ensure Spark in a Fabric workspace can only connect to specific data sources or endpoints outside of Fabric. In the future we will add data exfiltration support for other Fabric experiences.","feature_name":"Outbound access protection for Spark (GA)","last_modified":"2026-04-02","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"2025-09-30","release_item_id":"635cb2b6-6324-f011-8c4d-000d3a34671f","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Resolving Write Conflicts in Microsoft Fabric Data Warehouse","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/concurrency-control-and-conflict-resolution-in-microsoft-fabric-data-warehouse","feature_description":"This feature is part of the concurrency control strategy for Fabric DW. File-level write-write conflict detection is a mechanism designed to prevent two concurrent transactions from modifying the same physical file in a data warehouse at the same time. More precise than table-level detection (which blocks any concurrent changes to the same table).What It Does?Scope: Operates at the file level (e.g., Parquet files in Fabric DW), rather than at the table or row level.Goal: Detect overlapping changes (updates, deletes) to the same file during concurrent transactions.Trigger: When a transaction tries to commit changes, the system checks if any newer manifests indicate modifications to the same file since the transaction started.Lays groundwork for even finer-grained detection (row-level) in later releases.","feature_name":"File-Level write-write conflict detection (Generally Available)","last_modified":"2026-04-01","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-09-08","release_item_id":"b7e155c6-94bf-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"The Data Grid feature for data warehouses and SQL analytics endpoints includes:* Data Handling: Supports large datasets with virtualization for performance.* Column & Row Features: Resize, reorder, hide/show, group, pin, define dynamic columns, sort, filter, and select multiple rows.* Performance Optimization: Virtual scrolling, row virtualization, and lazy loading.* Filtering & Sorting: Multi-column sorting and custom filters for data types (string, integer, date).* Search: Search across columns.* Grid-Level Options: Copy data with/without headers, select multiple rows, and export data in various formats.","feature_name":"Data Grid Improvements in Data Warehouse & SQL Endpoint","last_modified":"2026-04-01","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-05-29","release_item_id":"9d7d9b3d-0d77-f011-b4cb-000d3a329ecb","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Welcome to Fabric Data Warehouse","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/welcome-to-fabric-data-warehouse","feature_description":"We are updating the TDS (Tabular Data Stream) connection behavior in Fabric Warehouse to ensure consistent and predictable connections based on the specified Initial Catalog value.Previously, connections with an empty or invalid database name could redirect users to a random data warehouse. With this update, connections now honor the target database explicitly or throw validation errors when the database does not exist.","feature_name":"Connection Behavior When Connecting to Fabric Warehouse","last_modified":"2026-04-01","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-04-30","release_item_id":"512eea0a-39bf-f011-bbd3-00224808fcf0","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Tenant level private link support for Microsoft Fabric API for GraphQL (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/34710","feature_description":"Fabric Graph supports private connectivity using Fabric private endpoints and private links. This allows customers to access graph workloads over private networks, keep traffic off the public internet, and deploy Fabric Graph in locked down enterprise network environments. The service validates graph APIs under private access configurations and propagates the required access context for trusted service to service communication.","feature_name":"Fabric Graph supports private network access for enterprise environments","last_modified":"2026-03-31","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-05-04","release_item_id":"fc241721-2402-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Introducing Graph in Microsoft Fabric \u2013 Connected Data for the Era of AI","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/graph-in-microsoft-fabric","feature_description":"Fabric Graph is designed to operate at very large scale, supporting graphs with billions of elements while maintaining predictable performance and reliability. Ongoing investments improve query stability, ingestion throughput, and service resiliency. Operational visibility is enhanced by exposing detailed ingestion failure information and clearer diagnostic signals, enabling customers to identify, understand, and resolve issues more quickly as graph workloads scale into production.","feature_name":"Fabric Graph delivers reliable performance at billion scale","last_modified":"2026-03-31","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-05-04","release_item_id":"e7719142-2202-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Introducing Graph in Microsoft Fabric \u2013 Connected Data for the Era of AI","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/graph-in-microsoft-fabric","feature_description":"Fabric Graph is now Generally Available, delivering a secure, scalable, and enterprise-ready graph analytics capability powering Fabric IQ and natively integrated with Microsoft Fabric.Fabric Graph is engineered to operate at billion-scale, providing predictable performance, improved ingestion throughput, resilient query execution, and enhanced diagnostic visibility to support production-grade graph workloads. It expands GQL feature coverage to support advanced relationship modeling scenarios, including nested data, OPTIONAL MATCH, extended FOR semantics, result shaping functions, quantified edge patterns, and shortest-path queries.Fabric Graph lowers the barrier to graph adoption with no-code and low-code experiences for modeling, querying, and exploration, while still enabling full GQL control for advanced users. It also integrates in public preveiw with Fabric Data Agent and supports natural language to GQL (NL2GQL), allowing users to query connected data through conversational experiences while maintaining transparency through executable query inspection.From a governance and security standpoint, Fabric Graph will shortly enforce OneLake security policies end-to-end, including row-, column-, and object-level controls, ensuring consistent data governance without introducing alternate access paths. The service supports private network connectivity via Fabric private endpoints and private links, complies with Workspace Outbound Access Protection (OAP) to prevent unauthorized data exfiltration, and supports Realms for regional isolation in regulated and Microsoft first-party environments.With GA, Fabric Graph provides a fully integrated, secure, and scalable foundation for connected data analytics, operational workloads, and AI-driven agent scenarios within Microsoft Fabric.","feature_name":"Fabric Graph - Generally Available","last_modified":"2026-03-31","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-05-04","release_item_id":"bf4b5edc-820b-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Introducing Graph in Microsoft Fabric \u2013 Connected Data for the Era of AI","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/graph-in-microsoft-fabric","feature_description":"Fabric Graph provides low code and no code experiences for modelling graphs, building queries, and exploring results. Customers can define graph models, manage reusable queries, and inspect outputs through UI driven workflows without requiring deep GQL expertise. These experiences lower the barrier to entry for analysts and application builders, while still allowing advanced users to drop down to full GQL for complex scenarios.","feature_name":"Fabric Graph enables fast insight with no/low code graph modelling, querying and exploration","last_modified":"2026-03-31","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-05-04","release_item_id":"ad7276d3-2202-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"OneLake Security on the SQL Analytics Endpoint","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/onelake-security-on-the-sql-analytics-endpoint","feature_description":"Fabric Graph conforms to OneLake security so that access controls defined over lake data are enforced consistently when data is represented and queried as a graph. Row , column , and object level policies apply end to end, preventing graphs from becoming an alternate access path. This alignment ensures customers can adopt Fabric Graph without introducing new security models or weakening existing governance and compliance controls.","feature_name":"Fabric Graph enforces OneLake security for governed graph access","last_modified":"2026-03-31","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-05-04","release_item_id":"a23feddf-2302-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Fabric Graph increases GQL feature coverage to support richer relationship modeling and investigation scenarios. This includes dynamic nested data, OPTIONAL MATCH, extended FOR semantics (IS SOURCE OF, IS DESTINATION OF, COLLECT ONE), result shaping functions (NODES, EDGES, INNER NODES), quantified simple edge patterns, and shortest path queries.","feature_name":"Fabric Graph expands GQL support for real world relationship queries","last_modified":"2026-03-31","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-05-04","release_item_id":"2365a2ad-2302-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Outbound Access\u00a0Protection for Spark (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/workspace-outbound-access-protection-for-spark-is-now-generally-available","feature_description":"Fabric Graph complies with Fabric Workspace Outbound Access Protection (OAP). When OAP is enabled, graph workloads enforce outbound network policies, allowing connections only to approved destinations such as managed private endpoints. Non compliant outbound calls are blocked and surfaced clearly. This ensures Fabric Graph aligns with enterprise network security requirements and helps prevent unintended or unauthorized data exfiltration.","feature_name":"Outbound Access Protection for Fabric Graph","last_modified":"2026-03-31","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-05-04","release_item_id":"2241e980-2402-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Fabric Capacity Events in Real-Time Hub (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/fabric-capacity-events-in-real-time-hub-preview","feature_description":"","feature_name":"Capacity Overview Events General Availability","last_modified":"2026-03-30","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"4a7a41b4-e2c0-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Announcing GitHub integration for source control (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-github-integration-for-source-control-preview","feature_description":"Ability to connect Fabric workspace to repositories which reside on GitHub Enterprise Cloud with data residency","feature_name":"CI/CD - GitHub Enterprise Cloud with data residency support","last_modified":"2026-03-30","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"2026-06-01","release_item_id":"76396892-86db-f011-8544-000d3a3b0571","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Recent data: Get back to your data faster in Fabric (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/recent-data-get-back-to-your-data-faster-in-fabric-preview","feature_description":"We plan to bring support for Recents to the Output Data experience, allowing users to easily reconnect to a recently used Output Destination, much like we have made available in the Get Data experience.","feature_name":"Dataflows - Output Destinations: Recents Support","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-29","release_item_id":"d1f84414-4621-f011-998a-000d3a341dd9","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Fabric Data Pipelines \u2013 Advanced Scheduling Techniques (Part 2: Run a Pipeline on a Specific Day)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/fabric-data-pipelines-advanced-scheduling-techniques-part-2-run-a-pipeline-on-a-specific-day","feature_description":"Pipelines in Fabric Data Factory emphasize general re-use patterns and metadata driven methodologies. Now with support for pipeline parameters in schedules you can create multiple schedules per pipeline with different parameter values enabling incredibly powerful generic pipeline workflow patterns.","feature_name":"Pipelines - Support pipeline parameters in schedules","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-05-01","release_item_id":"422e1a3d-056f-f011-bec2-00224804b6c3","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Use ANY_VALUE() for simpler grouping of results in Fabric Data Warehouse (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/use-any_value-for-simpler-grouping-of-results-in-fabric-data-warehouse-generally-available","feature_description":"Fabric Data Warehouse will  introduce the ANY_VALUE() function.<br/>This function returns a value from a column within each group when all values in that group are the same, without requiring explicit aggregation logic like MIN() or MAX().<br/>It's ideal for scenarios where grouped columns contain identical values, and you simply need one of them for reporting or joining purposes.This makes queries cleaner and easier to write while preserving performance and correctness.<br/>\n```SELECT     c.CustomerID,    ANY_VALUE(c.FirstName + ' ' + c.LastName) AS CustomerName,    ANY_VALUE(c.CompanyName) AS Company,    ANY_VALUE(c.EmailAddress) AS Email,    ANY_VALUE(c.Phone) AS Phone,    COUNT(soh.SalesOrderID) AS OrderCountFROM SalesLT.Customer AS cJOIN SalesLT.SalesOrderHeader AS soh    ON c.CustomerID = soh.CustomerIDGROUP BY c.CustomerID;```","feature_name":"ANY_VALUE function","last_modified":"2026-03-26","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-03-23","release_item_id":"c877e5fa-edb8-f011-bbd3-000d3a30273e","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Dataflows Gen2 data destinations and managed settings","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/dataflows-gen-2-data-destinations-and-managed-settings","feature_description":"One of the most requested enhancements to the Output Destinations experience over relational databases is having the ability to create new tables within specific schemas. We plan to enable this over destinations such as Lakehouse, Warehouse and SQL databases.","feature_name":"Dataflows - Schema Support in Dataflow Gen2 Output Destinations","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"f6e9a495-4321-f011-9989-6045bd030c4d","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"A common scenario for Dataflow Gen2 customers in Fabric is wanting to reference items in the "current workspace" rather than specifically referencing items in a given workspace. This allows scenarios such as deploying Dataflow Gen2 (CI/CD) items across workspaces, and have those read or write data to other Fabric artifacts (such as Lakehouse, Warehouse, etc.).As part of this planned item, we will introduce the ability for users to select an item in "current workspace" as part of the overall navigation experience for Fabric sources/destinations in Dataflow Gen2, instead of it being hardcoded to an specific workspace.","feature_name":"Dataflows - Relative references to Fabric items within the \"current workspace\"","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"d8e9db43-99b3-f011-bbd3-000d3a30273e","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Dataflow Gen2: Dataflow Diagnostics Download (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/dataflow-gen2-dataflow-diagnostics-download-preview","feature_description":"Dataflow Gen2 (CI/CD) provides a Modern Query Evaluation Service, delivering highly efficient and performant execution of queries. This Modern Query Evaluation service is currently available as a Preview feature: [https://learn.microsoft.com/en-us/fabric/data-factory/dataflow-gen2-modern-evaluator]As part of the planned enhancements, we will make this new capability Generally Available and enabled by default for new Dataflow Gen2 (CI/CD) items.","feature_name":"Dataflows - Modern Query Evaluation Service","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"8f1fd31b-3f21-f011-9989-000d3a34671f","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Evaluate Power Query Programmatically in Microsoft Fabric (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/execute-power-query-programmatically-in-microsoft-fabric","feature_description":"'Export Query Results' in Power Query in Power BI Desktop enables users to leverage Fabric Dataflows to power data transformations - providing scale, performance and access to all Fabric supported destinations, including Fabric data items (Lakehouse, Warehouse, SQL database, Eventhouse), Azure SQL Database, SharePoint Files and more.These accelerated experiences will help customers benefit from the High-Scale, Performance and Wide Reusability provided by Dataflow Gen2 in Fabric, while ensuring their existing workflows in Power BI Desktop are not disrupted, and provide a gradual on-ramp for customers to discover and unleash further value provided by Fabric for their self-service data analytics scenarios.","feature_name":"Dataflows - Export Query Results in Power Query within Power BI Desktop","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"7416faf1-32f6-f011-8406-6045bd0066ad","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Updates to default data destination behavior in Dataflow Gen2","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/updates-to-default-data-destination-behavior-dataflow-gen-2","feature_description":"As part of this release item, we will make the existing Lakehouse (CSV) Files destination in Dataflow Gen2 generally available.","feature_name":"Dataflows - New Data Destination: Lakehouse Files","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"5c4c956a-9ab3-f011-bbd3-000d3a30273e","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Dataflow Gen2: Variable Library integration in Microsoft Fabric (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/dataflow-gen2-variable-library-integration-in-microsoft-fabric-generally-available","feature_description":"Fabric variable libraries offer a centralized way to manage configuration values across Microsoft Fabric workloads. With this new integration in Dataflow Gen2 (Preview), you can reference these variables directly in your dataflow, enabling dynamic behavior across environments and simplifying CI/CD workflows.Learn more about this capability: [https://learn.microsoft.com/en-us/fabric/data-factory/dataflow-gen2-variable-library-integration](http://)As part of this planned feature, we will make Fabric Workspace Variables support in Dataflow Gen2 (CI/CD) items generally available.","feature_name":"Dataflows - Fabric Workspace Variables Support","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"4f110cb5-98b3-f011-bbd3-000d3a30273e","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Recent data: Get back to your data faster in Fabric (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/recent-data-get-back-to-your-data-faster-in-fabric-preview","feature_description":"Support users to quickly reconnect to their recently used tables or raw data sources within the Modern Get Data experience, saving them from having to specify data source and connection details again.","feature_name":"Dataflows - Recents in Modern Get Data","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"4107059d-9220-f011-998a-0022480939f0","release_status":"Shipped","release_type":"General availability"}],"links":{"first":"/api/releases?release_type=General+availability&page_size=50&page=1","last":"/api/releases?release_type=General+availability&page_size=50&page=8","next":"/api/releases?release_type=General+availability&page_size=50&page=2","prev":null,"self":"/api/releases?release_type=General+availability&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":381,"total_pages":8}}