{"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":"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. 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":"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. In addition to real-time insights, the experience includes summaries of active jobs and tasks, detailed Spark compute configurations, and the ability to drill into the Spark UI, application history, job-level details, or code-level snapshots.","feature_name":"Fabric Spark Real-Time Performance Monitoring for CPU, Memory, and vCores","last_modified":"2026-04-14","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"2026-07-31","release_item_id":"9f72b035-86ba-f011-bbd3-6045bd00f9db","release_status":"Planned","release_type":"Public preview"},{"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":"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 Govern tab in OneLake Catalog serves as a central hub for data owners to access insights, recommended actions, and available Fabric solutions. The solution now also supports Fabric admins with similar capabilities. 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. This streamlines item curation and significantly improves discoverability and comprehension for end users.","feature_name":"Fabric OneLake catalog - Copilot for automatic description","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":"d9e7840d-67f0-f011-8406-6045bd026004","release_status":"Shipped","release_type":"Public preview"},{"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":"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"},{"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 Google Cloud Storage (GCS) as a new data destination for Dataflow Gen2 in Preview, enabling customers to land transformed data from Microsoft Fabric directly into Google Cloud Storage using Dataflow Gen2's low-code Power Query experience.This preview expands Dataflow Gen2's destination ecosystem to better support multi-cloud data architectures, giving customers with existing investments in Google Cloud a simple way to integrate Fabric-based transformations into their broader data estate.Key benefits and scenarios:* Publish curated outputs from Dataflow Gen2 directly to Google Cloud Storage buckets* Support multi-cloud ingestion and data sharing scenarios while centralizing transformation logic in Fabric* Enable teams to prepare and standardize data in Fabric before making it available to GCP-based analytics, processing, or downstream pipelinesDuring Preview, the Google Cloud Storage data destination is intended for evaluation and feedback, allowing customers to validate connectivity patterns, performance characteristics, and integration workflows ahead of broader production use.This release is part of our broader effort to make Dataflow Gen2 a flexible, low-code transformation layer across clouds, with ongoing investments planned to further mature and expand multi-cloud destination support in Fabric.","feature_name":"Dataflows - New Destination: Google Cloud Storage","last_modified":"2026-04-11","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-29","release_item_id":"45a4fc04-9ab3-f011-bbd3-000d3a30273e","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"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":"Simplifying Medallion Implementation with Materialized Lake Views in Fabric","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-materialized-lake-views-at-build-2025","feature_description":"Multi Lakehouse support in Lineage enables users to visualize and manage dependencies of Materialized Lake Views (MLVs) across multiple workspaces and lakehouses, providing a unified view that helps prevent data silos and improves transparency. It is designed to support scalable lineage tracking, advanced search, and focused navigation, making it easier for data teams to trace upstream and downstream dependencies.","feature_name":"Fabric Materialized Lake Views - Multi Workspace/Lakehouse support in Lineage","last_modified":"2026-04-09","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"2026-05-29","release_item_id":"f152e5fd-1fbf-f011-bbd3-000d3a3740cc","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Capacity Scheduler: Smarter capacity control for Eventhouse (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/capacity-scheduler-smarter-capacity-control-for-eventhouse-preview","feature_description":"The Eventhouse Min-Capacity Planner helps customers understand and forecast the impact of their Minimum Consumption (Min Capacity) settings on both performance and cost. It models how Eventhouse behaves when a minimum CU level is defined and allows users to schedule different Min-Capacity values per hour of the day and per day of the week. By visualizing baseline consumption, peak-time protection, and off-hours reduction, the planner makes it easy to choose the right minimum levels, avoiding throttling during busy periods while preventing unnecessary consumption during quiet times. It turns Min-Capacity scheduling into a simple, predictable, and actionable planning tool.","feature_name":"Capacity panner","last_modified":"2026-04-09","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-05-12","release_item_id":"d1728a35-5ef1-f011-8406-6045bd026004","release_status":"Planned","release_type":"Public preview"},{"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. 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