{"data":[{"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":"2026-03-14","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"},{"blog_title":null,"blog_url":null,"feature_description":"A new core visual in Power BI -- the gantt chart, visualizing all your product tasks in a Power BI report.","feature_name":"Gantt chart visual","last_modified":"2026-03-14","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-09-15","release_item_id":"15b7fc3d-d31f-f111-8341-6045bd0a8ec1","release_status":"Planned","release_type":"Public preview"},{"blog_title":null,"blog_url":null,"feature_description":"List slicer with drop down mode and advanced search options.","feature_name":"List slicer with dropdown mode","last_modified":"2026-03-14","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-08-17","release_item_id":"ba851f2d-d21f-f111-8341-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"blog_title":null,"blog_url":null,"feature_description":"Conditional formatting to be available for series in Power BI visuals. This includes lines, markers, and legends.","feature_name":"Conditional formatting for lines and series/labels in Power BI visuals","last_modified":"2026-03-14","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-07-15","release_item_id":"853c11fa-d11f-f111-8341-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"blog_title":null,"blog_url":null,"feature_description":"Input slicer to allow numeric data colors for filtering and forced numeric entry.","feature_name":"Input slicer numeric support","last_modified":"2026-03-14","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-06-15","release_item_id":"a7e979a9-d11f-f111-8341-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"blog_title":null,"blog_url":null,"feature_description":"Built-in shape map support coming with topojson, geojson, and URL support","feature_name":"Shape map visual in Power BI reports","last_modified":"2026-03-14","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-06-15","release_item_id":"3e7a7252-d11f-f111-8341-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"blog_title":null,"blog_url":null,"feature_description":"Control which tooltips show and how the tooltips display on your visual","feature_name":"Tooltip options for Power BI visuals","last_modified":"2026-03-14","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-05-15","release_item_id":"aa43ab07-d11f-f111-8341-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"blog_title":null,"blog_url":null,"feature_description":"Always make sure your report viewers land on the right page","feature_name":"Set as landing page in Power BI reports","last_modified":"2026-03-14","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-05-15","release_item_id":"653e4f5f-d01f-f111-8341-6045bd0a8ec1","release_status":"Planned","release_type":"General availability"},{"blog_title":null,"blog_url":null,"feature_description":"A visual calculation is a DAX calculation that's defined and executed directly on a visual. Visual calculations make it easier to create calculations previously hard to create, right in the visual.","feature_name":"Visual calculations GA","last_modified":"2026-03-14","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-05-15","release_item_id":"4eb2c1c2-41c4-f011-bbd3-6045bd00f9db","release_status":"Planned","release_type":"General availability"},{"blog_title":null,"blog_url":null,"feature_description":"A business event is an event that is immediately actionable and typically triggers a specific handler or response. These events are discreet, meaning they report a point-in-time occurrence such as a package being shipped or an order being received. Business events are focused on the type of event and the fact that an event has occurred, rather than the data itself. Business events are intended to be used to enable extensibility in applications in Fabric by allowing other Fabric items to react to these events and perform actions based on them.  [https://microsoft.sharepoint.com/:w:/r/teams/ServiceBus/_layouts/15/doc2.aspx?sourcedoc=%7B2C675803-ABF8-4ADB-9778-2882DED9D178%7D&file=Business%20Events%20-%20Specification.docx&action=default&mobileredirect=true&DefaultItemOpen=1&share=IQEDWGcs-KvbSpd4KILe2dF4AczL41BQgfV0Ti0k3CcQmDk](http://)","feature_name":"Business events","last_modified":"2026-03-12","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-03-16","release_item_id":"8b17d0f4-2022-f011-8c4c-6045bd0555b7","release_status":"Planned","release_type":"Public preview"},{"blog_title":"From insight to action: Bringing Fabric Activator into Ontology with Rules","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/from-insight-to-action-bringing-fabric-activator-into-ontology-with-rules","feature_description":"The rules feature of ontology (preview) lets you automate and manage event-driven alerts directly within your entity types. With the integrated capabilities of Fabric Activator, you can achieve real-time monitoring and response for your business entities. This feature allows you to define alerts that monitor properties across every instance of an entity type, to ensure comprehensive, ongoing oversight.Rules transform ontologies from static information models to dynamic and operational model. Now you are capable of automatically initiating business processes through alerts and automated actions, all within a seamless and context-aware environment. This feature helps you unlock automation capabilities without needing to switch between tools or write custom code, to streamline workflows and enhance efficiency","feature_name":"Rules for Ontology","last_modified":"2026-03-12","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-03-10","release_item_id":"9c64d5e2-fdce-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"Public preview"},{"blog_title":"Data Warehouse Utilization Reporting in Fabric Capacity Metrics App","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/data-warehouse-utilization-reporting-in-fabric-capacity-metrics-app","feature_description":"Shortcuts in Fabric DW allow users to directly access and query data that is present in internal and external data sources, without loading them into Fabric DW. Users will have the capability to create Table Shortcuts via TSQL & UX","feature_name":"Shortcuts in Fabric Data Warehouse (Public Preview)","last_modified":"2026-03-11","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-07-15","release_item_id":"ce7f2f21-9421-f011-9989-000d3a302e4a","release_status":"Planned","release_type":"Public preview"},{"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":"2026-03-11","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-05-25","release_item_id":"dfb17dba-0d22-f011-998a-0022480939f0","release_status":"Planned","release_type":"General availability"},{"blog_title":null,"blog_url":null,"feature_description":"OneLake provides rule-based lifecycle management to help organizations optimize storage costs. These policies allow administrators to automatically transition data between hot, cool, and cold tiers based on last access or modification time.","feature_name":"OneLake Storage Lifecycle Management Policies","last_modified":"2026-03-11","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"2026-04-30","release_item_id":"e48ce514-09b9-f011-bbd3-000d3a5972d8","release_status":"Planned","release_type":"Public preview"},{"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":"2026-03-11","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-04-21","release_item_id":"c13c3e13-0d22-f011-998a-0022480939f0","release_status":"Planned","release_type":"Public preview"},{"blog_title":"APIs for Managed Private Endpoint are now available","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/apis-for-managed-private-endpoint-are-now-available","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":"2026-03-11","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-04-20","release_item_id":"fc241721-2402-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"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":"2026-03-11","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-04-20","release_item_id":"e7719142-2202-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"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":"2026-03-11","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-04-20","release_item_id":"bf4b5edc-820b-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"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":"2026-03-11","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-04-20","release_item_id":"ad7276d3-2202-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"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":"2026-03-11","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-04-20","release_item_id":"a23feddf-2302-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"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 integrates with Fabric Data Agent and supports NL2GQL, enabling users to ask questions about graph data in natural language. Queries are translated into GQL, executed against the graph, and returned as grounded results. Users can inspect the executed query or navigate back to the graph experience for deeper exploration. This capability allows Fabric Graph to participate directly in agent driven and Copilot scenarios while maintaining transparency and trust.","feature_name":"Fabric Graph makes connected data accessible through natural language data agents","last_modified":"2026-03-11","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-04-20","release_item_id":"3fc4034c-2302-f111-8406-000d3a36696c","release_status":"Planned","release_type":"Public preview"},{"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":"2026-03-11","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-04-20","release_item_id":"2365a2ad-2302-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"blog_title":"Extending Outbound Access Protection to Fabric Warehouse and SQL Analytics Endpoint","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/extending-outbound-access-protection-to-fabric-warehouse-and-sql-analytics-endpoint","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":"Fabric Graph prevents data exfiltration with Outbound Access Protection","last_modified":"2026-03-11","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"2026-04-20","release_item_id":"2241e980-2402-f111-8406-000d3a36696c","release_status":"Planned","release_type":"General availability"},{"blog_title":"Extending Outbound Access Protection to Fabric Warehouse and SQL Analytics Endpoint","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/extending-outbound-access-protection-to-fabric-warehouse-and-sql-analytics-endpoint","feature_description":"Outbound access protection is one of the top security asks from the Fabric Enterprise customers. Today WS OAP support only limited set of items which limits the adoption of Fabric for Customers. Our aim is to support Fabric Data Agent in OAP so that customers can prevent sensitive data from getting exfiltrated.","feature_name":"Outbound Access Protection for Data Agent","last_modified":"2026-03-10","product_id":"0522b590-dcd6-ee11-9079-000d3a310f67","product_name":"Data Science","release_date":"2026-04-27","release_item_id":"ce75a77c-88ba-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"Public preview"},{"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":"2026-03-08","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-04-15","release_item_id":"92bffcc0-bf04-f111-8406-6045bd0066ad","release_status":"Planned","release_type":"General availability"},{"blog_title":"Unlock Real-Time Intelligence with the Eventhouse Endpoint for Lakehouse","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/unlock-real-time-intelligence-with-the-eventhouse-endpoint-for-lakehouse","feature_description":"Lakehouse Streaming Tables bring real-time data processing and analytics to the Fabric Real-Time Hub, making it easier for data engineers and data scientists to discover, explore, and act on streaming data--all in one central location. With seamless integration to Spark and AI Skills, users can filter, open, and endorse streaming tables, launch advanced analytics experiences, and visualize data in Power BI reports. This feature is designed to boost engagement and productivity by providing instant access to continuously updated data, supporting rapid insights and decision-making for modern data teams.","feature_name":"Lakehouse Streaming Tables in the Real-Time hub","last_modified":"2026-03-06","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-06-30","release_item_id":"a9abe16a-7faf-f011-bbd3-000d3a3740cc","release_status":"Planned","release_type":"Public preview"},{"blog_title":null,"blog_url":null,"feature_description":"Imagine landing on a page that instantly understands your role - whether you're a data engineer, analyst, or insights explorer - and serves up the most relevant tasks, insights, and next steps just for you. No more clutter, no more confusion. The new Real-Time Hub Overview Page streamlines your experience, helps you track progress, and guides you to unlock the full power of real-time data.","feature_name":"RTH recommends tasks tailored to user role, JTBD, and context they are in (PuPr)","last_modified":"2026-03-06","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-06-30","release_item_id":"3f84f6d5-cda3-f011-bbd3-6045bd00f9db","release_status":"Planned","release_type":"Public preview"},{"blog_title":null,"blog_url":null,"feature_description":"Users will be able to easily discover new Real-Time Intelligence features or capabilities in Real-Time hub","feature_name":"RTH Makes it Easier for Users to Discover New Features or Capabillities","last_modified":"2026-03-06","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-04-30","release_item_id":"2bd88c0c-d1a3-f011-bbd3-6045bd00f9db","release_status":"Planned","release_type":"General availability"},{"blog_title":null,"blog_url":null,"feature_description":"To improve clarity and task completion in Real-Time Hub, we're streamlining the left navigation. Users have reported confusion due to multiple overlapping entry points, making it difficult to locate the right actions for their real-time data workflows. By consolidating and simplifying the left-navigation menu, we aim to reduce cognitive load and help users quickly identify the most relevant entry point for their tasks.","feature_name":"Real-Time hub left-navigation consolidation","last_modified":"2026-03-06","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-03-31","release_item_id":"6c8b596e-0c71-f011-bec2-000d3a329ecb","release_status":"Shipped","release_type":"General availability"},{"blog_title":"Fabric Real-Time Analytics Integrates with Newly Announced Database Watcher for Azure SQL","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/introducing-database-watcher-for-azure-sql-and-its-integration-with-fabric-real-time-analytics","feature_description":"Integration on Fabric SQL DB in Workspace Monitoring.","feature_name":"Fabric SQL DB in Workspace Monitoring","last_modified":"2026-03-05","product_id":"347da228-ea54-ef11-a317-0022480a694f","product_name":"SQL database","release_date":"2026-06-30","release_item_id":"2e315574-8c31-f011-8c4d-00224804b6c3","release_status":"Planned","release_type":"Public preview"},{"blog_title":"Eventhouse Monitoring (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/eventhouse-monitoring-public-preview","feature_description":"Eventstream Observability is a Fabric feature that integrates Eventstream metrics into Workspace Monitoring, enabling users to gain actionable insights into their Eventstream health and performance metrics. Once enabled in Workspace Settings, Eventstream metrics will be automatically emitted into the Eventhouse database, allowing contributors to easily query, analyze, and visualize performance and diagnostic data.","feature_name":"Eventstream Observability","last_modified":"2026-03-03","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-04-30","release_item_id":"2f67bbdd-cda4-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"Public preview"},{"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":"2026-03-02","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-06-09","release_item_id":"b7e155c6-94bf-f011-bbd3-000d3a5b0efa","release_status":"Planned","release_type":"General availability"},{"blog_title":null,"blog_url":null,"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. 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OAP helps to prevent data exfiltration by blocking data connections to unapproved or potentially risky endpoints, thereby enforcing organizational data governance and compliance requirements.","feature_name":"Workspace Outbound access protection for Power BI (Reports and Semantic Model)","last_modified":"2026-02-28","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"2026-04-15","release_item_id":"e586fbe4-1b02-f111-8406-000d3a36696c","release_status":"Planned","release_type":"Public preview"},{"blog_title":null,"blog_url":null,"feature_description":"Adds a **date picker** mode for date slicers so authors can pick a relative default range (e.g., 'last full month') that automatically rolls forward as time passes when published, without authors having to update the report each period. 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