{"data":[{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Fabric workspace connection strings often contain complex, encoded server names that make it difficult for developers to identify or manage connections easily.With Friendly workspace server name, developers can configure a friendly server name for a workspace that helps connections simpler to manage.","feature_name":"Workspace-Friendly Connections","last_modified":"2026-05-11","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-09-30","release_item_id":"be34d186-0cb9-f011-bbd3-6045bd05dd14","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"BULK INSERT in Fabric Data Warehouse","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/bulk-insert-statement-in-fabric-datawarehouse","feature_description":"Fabric Data Warehouse will support the bcp utility and the TDS Bulk Load API, enabling high-performance data ingestion from a variety of client tools such as bcp, SSIS, and Azure Data Factory. This integration simplifies bulk data loading into Fabric DW and supports scalable, efficient workflows. Centralized support for these APIs ensures consistency across ingestion pipelines and improves interoperability with existing tools.<br/>An example of a bcp command that loads file content into a DW table:<br/>```bcp dbo.artists in gold_artist.txt -d TextDW -c -S myworkspace.datawarehouse.fabric.microsoft.com -G -U theuser@microsoft.com ```","feature_name":"BCP","last_modified":"2026-05-11","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-06-18","release_item_id":"d58f4693-ca80-ef11-ac21-6045bd062aa2","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Simplify your Warehouse ALM with DacFx integration in Git and Deployment pipelines for Fabric Warehouse","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/simplify-your-warehouse-alm-with-dacfx-integration-in-git-and-deployment-pipelines-for-fabric-warehouse","feature_description":"DacFx support for cross-warehouse references allows developers to define and manage dependencies between objects in different Fabric Warehouses. For example, a table in Warehouse A might reference a view in Warehouse B. With DacFx: These references can be tracked and versioned in Git, just like regular schema changes. Deployments can validate and update cross-warehouse objects safely, reducing the risk of broken references. It supports incremental, non-destructive deployments, ensuring that changes in one warehouse don't unexpectedly break dependencies in another.Cyclic dependencies between warehouses are not supported, so any circular references across warehouses must be avoided.","feature_name":"Managing Multi-Warehouse Dependencies with DacFx","last_modified":"2026-05-11","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-06-15","release_item_id":"e45e0d20-dfb8-f011-bbd3-0022480b30e4","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Simplify your Warehouse ALM with DacFx integration in Git and Deployment pipelines for Fabric Warehouse","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/simplify-your-warehouse-alm-with-dacfx-integration-in-git-and-deployment-pipelines-for-fabric-warehouse","feature_description":"DacFx onboarding in the Fabric Web editor enables seamless Git integration and supports deployment pipelines for Fabric Warehouse. With DacFx, developers can reliably manage schema changes, version control database projects, and execute incremental, non-destructive deployments directly from the web editor. This integration ensures that changes are tracked, deployments are safe, and pipelines can be automated, aligning with best practices for CI/CD in enterprise data environments.","feature_name":"Fabric Web: Streamlined Git and Deployment Pipeline Support with DacFx","last_modified":"2026-05-11","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-06-15","release_item_id":"a59cad5e-ddb8-f011-bbd3-6045bd05dd14","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Task flows in Microsoft Fabric (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-the-general-availability-ga-of-task-flows-in-microsoft-fabric","feature_description":"The multiple task flows in a workspace feature enables users to create, manage, and navigate multiple independent task flows within the same workspace. Each task flow has its own isolated canvas, clear identity, and lifecycle, allowing teams to organize work by project or process without impacting others.","feature_name":"Multiple task flows in a workspace","last_modified":"2026-05-11","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"2026-04-13","release_item_id":"3039617f-f9f5-f011-8406-6045bd0a8ec1","release_status":"Shipped","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":"2026-05-11","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-04-01","release_item_id":"d153a715-e29d-f011-b41c-000d3a30273e","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":"2026-05-08","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-06-07","release_item_id":"2d60a7e8-b555-f011-877a-00224804ca88","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Announcing Cosmos DB in Microsoft Fabric Featuring New Capabilities! (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-cosmos-db-in-microsoft-fabric-preview-with-exciting-new-features","feature_description":"Cosmos DB in Fabric allows customers to build operational and analytical workloads in Microsoft Fabric. Leverage the AI-features available in Cosmos DB and take advantage of the innovations in Fabric with SQL queries over JSON data, build real-time intelligence over transactional data, use Cosmos DB as a lightning fast serving layer for Power BI with reverse ETL using Spark, as well as Copilot-powered Microsoft Power BI, -- all without having to stitch together separate services. Cosmos DB in Fabric now includes many new features. For example, build User-Data Functions that connect seamlessly with your Cosmos DB artifacts, use continuous integration and continuous deployment (CI/CD) to manage development, test, and production pipelines. This release leverages Cosmos DB's autoscale for elasticity when you need it, and vector and full-text indexing and search enabled by default to support your AI-enabled workloads. This is a major step toward making operational data readily accessible across the Fabric ecosystem.","feature_name":"Cosmos DB in Fabric","last_modified":"2026-05-08","product_id":"0e17459c-141b-f011-998a-00224804b6c3","product_name":"Cosmos DB","release_date":"2025-11-17","release_item_id":"c0d03300-26a5-f011-bbd3-000d3a5b0efa","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Cosmos DB in Microsoft Fabric and Cosmos DB Mirroring (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-ga-of-cosmos-db-in-microsoft-fabric-and-cosmos-db-mirroring","feature_description":"Now generally available, Azure Cosmos DB Mirroring in Fabric allows you to seamlessly integrate your existing operational workloads with the analytical capabilities of Microsoft Fabric. Take advantage of the innovations in Fabric with SQL queries over JSON data and build real-time intelligence over your existing transactional data. Integrate with the Microsoft Fabric ecosystem of services, as well as Copilot-powered Microsoft Power BI, -- all without having to stitch together separate services. Azure Cosmos DB Mirroring in Fabric allows you to select which containers to mirror into Fabric, giving you complete control over what data you build analytics on. Get the best of both worlds leveraging the SLA-backed latency and availability you have come to expect from Azure Cosmos DB with Microsoft Fabric's array of analytical services and features, making it even easier now to bring your existing operational data and make accessible across the Fabric ecosystem.","feature_name":"Azure Cosmos DB Mirroring in Microsoft Fabric","last_modified":"2026-05-08","product_id":"0e17459c-141b-f011-998a-00224804b6c3","product_name":"Cosmos DB","release_date":"2025-11-17","release_item_id":"5d4dfe86-26a5-f011-bbd3-000d3a5b0efa","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"New Solace PubSub+ Connector: seamlessly connect Fabric Eventstream with Solace PubSub+ (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-solace-pubsub-connector-seamlessly-connect-fabric-eventstream-with-solace-pubsub-preview","feature_description":"Eventstream streaming connector source: Solace PubSub+","feature_name":"Eventstream streaming connector source: Solace PubSub+ GA","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-12-31","release_item_id":"953fb7bc-2ca6-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"As a data analyst, I want to programmatically manage ontology schemas via a SDK  and query instances via API in so that I can automate and scale downstream analyses.","feature_name":"Public API for Ontology","last_modified":"2026-05-07","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-11-30","release_item_id":"419cfd8b-face-f011-bbd3-000d3a30273e","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Take the formatting on an individual visual and add it to the custom report theme for re-use on other visuals in the same report or a new report.","feature_name":"Add to preset for Power BI visuals","last_modified":"2026-05-07","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-11-16","release_item_id":"e326538e-d31f-f111-8341-6045bd0a8ec1","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Organizational themes (preview) allow Power BI administrators to centrally manage and distribute custom report themes across the organization. Maintaining a consistent visual identity across Power BI reports is now simpler and more scalable, thanks to organizational themes. Whether reports are built manually or generated with Copilot, this feature ensures that styling and branding stay aligned with your organization's identity and design standards.","feature_name":"Organizational themes for Power BI reports","last_modified":"2026-05-07","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-11-16","release_item_id":"6cda5cd3-d31f-f111-8341-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Currently the largest message size Eventstream can support is 1MB. This new feature will push this limit to bigger size to meet broader requirements.","feature_name":"Eventstream supports large message size","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"fc3ce8fd-6e2f-f011-8c4d-000d3a34671f","release_status":"Planned","release_type":"Public preview"},{"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":"Fabric Materialized Lake Views are a revolutionary way to declaratively define views, built on data stored in your lakehouse that automatically materializes the results of the data transformation as a physical Delta table. Now we have a pipeline activity that you can automate and schedule to regularly refresh your MLV or add it to the end of your ETL pipeline.","feature_name":"Pipelines - Refresh Materialized Lake View Activity","last_modified":"2026-05-07","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-30","release_item_id":"fb27d618-16b1-f011-bbd3-000d3a30273e","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Create Metadata Driven Data Pipelines in Microsoft Fabric","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/create-metadata-driven-data-pipelines-in-microsoft-fabric","feature_description":"A commonly used functionality in ADF is configuring a Pipeline to run when a set of dependencies are met. We are excited to bring this functionality to Data Pipelines in Data Factory in Fabric to continue enriching orchestration capabilities.","feature_name":"Pipelines - Run Pipeline when dependencies are met","last_modified":"2026-05-07","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-30","release_item_id":"f8636911-7191-ef11-ac21-002248098a98","release_status":"Planned","release_type":"Public preview"},{"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":"Fabric Apache Airflow jobs provides a SaaS way to build Python-based Airflow DAGs in your Fabric workspace. With this new feature, you will now be able to easily view your runtime logs from Apache Airflow in the Fabric Workspace Monitoring view to build your own queries, reports, and dashboards.","feature_name":"Airflow - Workspace Monitoring to include Apache Airflow logs from Airflow Job","last_modified":"2026-05-07","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-30","release_item_id":"ef14c40e-0a6f-f011-bec2-00224804b6c3","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Inline Scalar user-defined functions (UDFs) in Microsoft Fabric Warehouse (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/inline-scalar-user-defined-functions-udfs-in-microsoft-fabric-warehouse-preview","feature_description":"We're expanding scalar user-defined functions with new capabilities, including INLINE = AUTO, improved error messaging, support for special built-in functions, and CONTINUE/BREAK statements in **computation**-based UDFs.","feature_name":"Scalar User-defined functions (UDFs)","last_modified":"2026-05-07","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-09-30","release_item_id":"edb33b5b-7f5d-f011-bec2-0022480939f0","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Announcing Shortcut Transformations: from files to Delta tables. Always in sync, no pipelines required.","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-shortcut-transformations-from-files-to-delta-tables-always-in-sync-no-pipelines-required","feature_description":"Shortcut Transformations let you transform files to tables. With the instroduction of Content Understanding transform you can make any file a table.","feature_name":"Shortcut Transformations - file to table (content understanding)","last_modified":"2026-05-07","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"2026-09-30","release_item_id":"ded7f959-0cc0-f011-bbd3-00224808fcf0","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Introducing the HTTP and MongoDB CDC Connectors for Eventstream \u2014 Inspired by You","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-the-http-and-mongodb-cdc-connectors-for-eventstream-inspired-by-you","feature_description":"The MongoDB CDC connector for Eventstream captures database changes from any MongoDB deployment, including MongoDB Atlas and self-managed instances on other cloud providers. These change events are streamed into Eventstream for real-time processing and analysis.","feature_name":"Eventstream connector: MongoDB CDC","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"ddb75e86-23a6-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"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":"Capacity Operation Events Public Preview","feature_name":"Capacity Operation Events Public Preview","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"dc8a0aee-e3c0-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Hyper-parametrization in Data Factory pipelines enables powerful reusable generic patterns and is very popular in Data Factory. Now with parameter support in schedules you can create schedules that have specific parameter values to create complex execution patterns.","feature_name":"Pipelines - Support added for schedule parameters","last_modified":"2026-05-07","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-30","release_item_id":"da6082f1-1a9e-f011-b41c-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Exciting Enhancements Announced for Fabric Data Factory Pipelines!","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/exciting-enhancements-announced-for-fabric-data-factory-pipelines","feature_description":"We've enabled a key new capability in Data Factory pipelines in Fabric that extends the use of pipelines beyond just data integration and ETL. Now you can create powerful business workflows with pipelines with our new approval activity that allows you to gate the execution of your pipeline by setting an approver.","feature_name":"Pipelines - Approvals Activity","last_modified":"2026-05-07","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-30","release_item_id":"d6e09340-c39d-f011-b41c-6045bd00f9db","release_status":"Planned","release_type":"Public preview"},{"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":"Private Link enables secure, private connectivity between your virtual network and Microsoft Fabric, eliminating exposure to the public internet. With Eventstream's integration with Workspace Private Link, you gain granular access control at the workspace level enhancing data security by minimizing the risk of unauthorized access and potential data breaches.","feature_name":"Workspace Private Link for Eventstream's Select Sources & Destinations","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"cde82016-24a6-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Introducing the HTTP and MongoDB CDC Connectors for Eventstream \u2014 Inspired by You","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-the-http-and-mongodb-cdc-connectors-for-eventstream-inspired-by-you","feature_description":"With a built-in Dataverse connectors to Eventstream, users  find it easy to discover the Dataverse tables of interest and enable change events on those tables in RTI with the GetEvents UX. It transform the raw events into a easily consumable form - Instead of having to process complex, deeply nested JSON objects, users will find it easy to build applications on change records that reflect the shape/schema of the Dataverse source table.","feature_name":"Route Dataverse data events to Eventstream","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"cb7b0382-4fb8-ef11-b8e9-002248098a98","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Enhancing Data Transformation Flexibility with Multiple-Schema Inferencing in Eventstream (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/enhancing-data-transformation-flexibility-with-multiple-schema-inferencing-in-eventstream-preview","feature_description":"The multiple schemas feature supports inferring multiple schemas from various sources and eventstream itself, enabling you to design different data transformation paths by picking up one of the inferred schemas with rich flexibility. This allows for seamless data integration and processing, catering to complex and multiple data shapes environment","feature_name":"Eventstream Multiple Schemas Inferencing Support GA","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"b1a70168-24a6-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Announcing the General Availability of Enhanced Eventstream and Connector Sources","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-the-general-availability-of-enhanced-eventstream-and-connector-sources","feature_description":"Make Service Bus as Eventstream connector General Available.","feature_name":"Eventstream connector: Service  Bus (GA)","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"9493500e-e1ce-f011-bbd3-000d3a30273e","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Unlocking Real-Time Operational Intelligence: Azure Monitor Logs Integration in Fabric via Eventstream","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/unlocking-real-time-operational-intelligence-azure-monitor-logs-integration-in-fabric-via-eventstream","feature_description":"This integration simplifies the discovery of Azure resource diagnostic logs in Fabric RTI, and automatic creation of Eventstream operators, allowing users to focus more on analysis and less on setup. User can directly feed Azure diagnostic logs into Fabric without any coding, perform comprehensive analysis by combining diagnostic logs with other data sources and gain operational insights that enhance decision-making capabilities.","feature_name":"Route Azure Monitor Diagnostic Logs to Eventstream","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"9258b059-23a6-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Acquiring Real-Time Data from New Sources with Enhanced Eventstream","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/acquiring-real-time-data-from-new-sources-with-enhanced-eventstream","feature_description":"The Reference Data Join feature in Eventstream enables you to enrich streaming events by joining them with static or slowly changing delta tables in one lake.User can reference any one lake delta tables using lakehouse, and join it with streaming data in eventstream to enahace and add additional context to their events during processing.","feature_name":"Eventstream reference data join with one lake delta tables","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"816ee551-33a5-f011-bbd3-000d3a30273e","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Workspace scope for Job Events","feature_name":"Workspace scope for Job Events","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"7c18efd5-e4c0-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Use Fabric Data Factory Data Pipelines to Orchestrate Notebook-based Workflows","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/use-fabric-data-factory-data-pipelines-to-orchestrate-notebook-based-workflows","feature_description":"When building workflows with pipelines in Fabric Data Factory, it is very important to express rules that allow you to tell the workflow engine which conditions must be met before invoking or continuing your logic. In pipelines in Data Factory, we are super happy to announce that we've brought this capability into Fabric. If you are a user of ADF and Synpase, this feature was previously available as "trigger dependencies" inside of tumbling window triggers. With the inclusion now of dependencies inside of Fabric pipelines in Data Factory, you can now easily move your ADF and Synapse pipelines into Fabric.","feature_name":"Pipelines - Pipeline Dependencies","last_modified":"2026-05-07","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-30","release_item_id":"754bc857-509d-f011-b41c-6045bd00f9db","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Fabric User Data Functions (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-fabric-user-data-functions-now-in-general-availability","feature_description":"Fabric function support in T-SQL enables users to call external data functions directly from their SQL queries within the Data Warehouse. This allows for advanced processing, enrichment, and transformation while centralizing logic and promoting code reuse across different engines and workloads. By embedding Fabric functions into SQL, teams can streamline operations and maintain consistency across platforms.For example, if you defined a `my_fabric_function` user data function, you cna call it from T-SQL code using the folowing T-SQL syntax:<br/>```SELECT *, my_fabric_function(param1, param2...) 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Users will be able to analyze the events using KQL Querysets and Real time Dashboards.","feature_name":"Eventhouse Monitoring","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"28c0d541-e64c-ef11-a317-0022480abf3c","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"New Eventstream sources: MQTT, Solace PubSub+, Azure Data Explorer, Weather & Azure Event Grid","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-eventstream-sources-mqtt-solace-pubsub-azure-data-explorer-weather-event-grid","feature_description":"Eventstream streaming connector source: MQTT broker","feature_name":"Eventstream streaming connector source: MQTT broker GA","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"194d37ea-2aa6-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Schema Registry: Creating type-safe pipelines using Schemas and Eventstreams (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/schema-registry-creating-type-safe-pipelines-using-schemas-and-eventstreams-preview","feature_description":"Schema Registry in Fabric Real-Time Intelligence provides centralized schema management to enforce data quality, enable schema validation, and simplify integration across streaming data pipelines.","feature_name":"Schema Registry in Eventstream GA","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"123d1b43-24a6-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Alerting and acting on data from the Real-Time hub","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/alerting-and-acting-on-data-from-the-real-time-hub","feature_description":"**Anomaly Detection Events in Real-Time Hub****Overview**Enable Real-Time hub to surface anomaly detection signals as Business Events--allowing users to monitor, react, and automate responses to unusual patterns in real time.**Key Capabilities*** Anomaly Signals as Business Events: Represent detected anomalies (e.g., spikes, drops, deviations) as standardized Business Events that can be consumed across Fabric.* Real-time Event Monitoring & Alerts: Continuously monitor event streams and trigger anomaly events when defined conditions or thresholds are met.* Customizable Detection Conditions: Configure rules, filters, and thresholds to detect anomalies relevant to specific business scenarios.* Seamless Integration with Consumers: Route anomaly events to Eventstream, Activator, or downstream systems for automated actions and workflows.* End-to-End Event-Driven Automation: Trigger notifications, workflows, or remediation actions automatically when anomalies are detected.","feature_name":"Anomaly Detection Events in Real-Time Hub","last_modified":"2026-05-07","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-09-30","release_item_id":"02b2d2a5-ecc0-f011-bbd3-6045bd05dd14","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 - 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