{"data":[{"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":"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. 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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. 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SharePoint Online File (as source and destination)3. Google BigQuery (as destination)4. MySQL (as destination)5. PosgreSQL connector (as destination)","feature_name":"Connector - New connector in Copy Job and Pipeline activities (2H)","last_modified":"2026-04-08","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-31","release_item_id":"e6033a7e-029d-f011-b41c-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Copy Data from Lakehouse in Another Workspace Using Data pipeline","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/copy-data-from-lakehouse-in-another-workspace-using-data-pipeline","feature_description":"Lakehouse connector now supports to read delta table through query mode in Copy job and Pipeline activities (copy activity, lookup activity)","feature_name":"Copy Job/Activity - Lakehouse connector support query mode in Copy Job and Pipeline activities","last_modified":"2026-04-08","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2025-11-17","release_item_id":"049d5744-c59a-f011-b4cc-000d3a30273e","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Fabric Data Pipelines \u2013 Advanced Scheduling Techniques (Part 1)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/fabric-data-pipelines-advanced-scheduling-techniques-part-1","feature_description":"","feature_name":"Pipelines - SSIS lift & shift in Fabric Data Factory","last_modified":"2026-04-06","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-23","release_item_id":"1edadc5a-026f-f011-bec2-00224804b6c3","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Ability to configure retention between 1 to 30 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":"2027-05-05","release_item_id":"c13c3e13-0d22-f011-998a-0022480939f0","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 Links give users an additional ability to connect to Fabric privately, allowing connectivity only from specific Azure VNETs and disallowing connectivity from others or from the internet.","feature_name":"Ontology private links","last_modified":"2026-04-03","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-04-24","release_item_id":"a045d9a4-b602-f111-8406-6045bd0a8ec1","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":"2026-04-02","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-09-21","release_item_id":"d58f4693-ca80-ef11-ac21-6045bd062aa2","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"New visual defaults to overhaul the Power BI base report theme to create professional looking reports in seconds. 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