{"data":[{"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":"ALTER TABLE inside explicit transactions in Fabric Data Warehouse (Generally Available)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/alter-table-inside-explicit-transactions-in-fabric-data-warehouse-generally-available","feature_description":"Treating schema changes as transactional aligns with atomicity and isolation guarantees. If any part of the transaction fails, everything is rolled back, preserving data integrity. This capability is especially useful for automated pipelines and CI/CD workflows, where schema changes must be applied safely and predictably.With this release, Fabric Data Warehouse supports executing the following inside an explicit transaction:ALTER TABLE Add nullable columnsALTER TABLE Drop columnsALTER TABLE Add or drop NOT ENFORCED PRIMARY KEY, UNIQUE, and FOREIGN KEY constraintsExecute multiple ALTER TABLE statements atomicallyALTER distributed temporary tablesIf any operation fails, the entire transaction is rolled back automatically.","feature_name":"ALTER TABLE support inside transactions (Generally Available)","last_modified":"2026-04-15","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"2026-04-13","release_item_id":"efc9cb1a-4597-f011-b4cc-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Announcing the Fabric Apache Spark Diagnostic Emitter: Collect Logs and Metrics","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-the-fabric-apache-spark-diagnostic-emitter-collect-logs-and-metrics","feature_description":"This feature is intended to announce the General Availability of the Fabric Spark diagnostic emitter. The Spark emitter enables customers to send Spark logs and metrics to their preferred destinations, including Azure Log Analytics, Azure Event Hub, and Azure Blob Storage.","feature_name":"Fabric Spark Diagnostic Log Emitter: General Availability","last_modified":"2026-04-14","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"2026-03-31","release_item_id":"2ff1693f-85ba-f011-bbd3-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"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":"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":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":"Supporting Database Mirroring sources behind a firewall","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/supporting-database-mirroring-sources-behind-a-firewall","feature_description":"Mirroring will support replicating views from source databases.","feature_name":"Mirroring - Support for replication of Views from Snowflake","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-31","release_item_id":"c65a74e8-f421-f011-998a-0022480939f0","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Mirroring: New Sources and Capabilities to Support Zero -ETL Data Unification","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/whats-new-to-mirroring-new-sources-and-capabilities-for-all-your-zero-etl-needs","feature_description":"Mirroring supports delta change feed that enables fine grain tracking of changes of delta tables to be consumed by downstream applications.","feature_name":"Mirroring - Enabling Delta Change Feed","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-31","release_item_id":"5122feaa-f421-f011-998a-0022480939f0","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Mirroring: Uploading your CSVs is now simpler than ever before!","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/mirroring-uploading-your-csvs-is-now-simpler-than-ever-before","feature_description":"Today in Open Mirroring we require users to upload their parquet and csv files in a sequence (000001.csv, 000002.csv, etc). We will add support for non-sequential files so customers have more flexibility when using the Open Mirroring API.","feature_name":"Mirroring - Open Mirroring: Support for Non-Sequential Files","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-31","release_item_id":"03cee1d1-fd21-f011-9989-6045bd06bb0b","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Simplifying Data Ingestion with Copy job \u2013 Introducing Change Data Capture (CDC) Support (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/simplifying-data-ingestion-with-copy-job-introducing-change-data-capture-cdc-support","feature_description":"Copy Job supports CDC-based replication with SCD2 patterns. It captures incremental changes including  inserts, updates, and deletions from the source system using Change Data Capture (CDC) and applies them to the target table while preserving full historical records.","feature_name":"Copy job - CDC replication with full history tracking (SCD2)","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"dca3a694-cb9a-f011-b4cc-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Simplifying data movement across multiple Clouds with richer CDC in Copy job in Fabric Data Factory Oracle source, Fabric Data Warehouse sink and SCD Type 2 (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/simplifying-data-movement-across-multiple-clouds-with-richer-cdc-in-copy-job-in-fabric-data-factory-oracle-source-fabric-data-warehouse-sink-and-scd-type-2-preview","feature_description":"With the CDC mechanism, customers can automatically capture inserts, updates, and deletions from Oracle Database and replicate them to the destination--without requiring a watermark column.","feature_name":"Copy job - CDC based replication from Oracle","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"91c99409-c19a-f011-b4cc-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Mirroring for Oracle in Microsoft Fabric (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/mirroring-for-oracle-in-microsoft-fabric-preview","feature_description":"Mirroring support Oracle as General availability","feature_name":"Mirroring - Oracle","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"78b6ff36-22f3-f011-8407-000d3a33bffb","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Simplifying 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":"Multiple schedule in FMLV allows users to independently schedule refreshes for individual Materialized Lake Views or chains within a Lakehouse, rather than applying a single schedule to the entire LakeHouse. This enables targeted refreshes, optimizes compute usage, and aligns data freshness with specific business SLAs for different reporting","feature_name":"Fabric Materialized Lake Views - Multiple Schedule Support","last_modified":"2026-04-09","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"2026-03-16","release_item_id":"25c46393-1fbf-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Gain full visibility into your Copy jobs with Workspace Monitoring in Microsoft Fabric (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/gain-full-visibility-into-your-copy-jobs-with-workspace-monitoring-in-microsoft-fabric-preview","feature_description":"With Workspace Monitoring for Copy Job, you can collect and organize logs and metrics from all Copy Job runs in an Eventhouse database within your workspace. You can also query this database to gain insights into workspace usage and performance, including the performance of individual Copy Jobs.","feature_name":"Copy job - Support Workspace Monitoring","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"167921c5-bf9a-f011-b4cc-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"","feature_name":"UX for viewing Eventhouse functions","last_modified":"2026-04-09","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"2026-03-04","release_item_id":"68563b95-25a4-f011-bbd3-000d3a3740cc","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Expanded CDC Support for More Sources & Destinations \u2013 Simplifying Data Ingestion with Copy job","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/simplifying-data-ingestion-with-copy-job-expanded-cdc-support-for-more-sources-destinations","feature_description":"With the CDC mechanism, customers can automatically capture inserts, updates, and deletions from supported CDC source store, and replicate them to the Fabric Lakehouse tables--without requiring a watermark column.","feature_name":"Copy job - CDC based replication to Fabric Lakehouse table","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2025-11-18","release_item_id":"f9d01fc9-b79a-f011-b4cc-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"feature_description":"Copy Job lets you copy tables based on a user-defined query, giving you flexibility to select and filter data before loading it into the target.","feature_name":"Copy job - Copy table from user defined query","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2025-11-18","release_item_id":"ee445270-cc9a-f011-b4cc-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Simplifying Data Ingestion with Copy job \u2013 More File Formats with Enhancements","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/simplifying-data-ingestion-with-copy-job-more-file-formats-with-enhancements","feature_description":"Copy job can be used to copy more file formats including ORC, Excel, Avro, XML.","feature_name":"Copy job - Support more file formats: ORC, Excel, Avro, XML","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2025-11-18","release_item_id":"e1d73f32-b99a-f011-b4cc-000d3a5b0efa","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Expanded CDC Support for More Sources & Destinations \u2013 Simplifying Data Ingestion with Copy job","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/simplifying-data-ingestion-with-copy-job-expanded-cdc-support-for-more-sources-destinations","feature_description":"With the CDC mechanism, customers can automatically capture inserts, updates, and deletions from SAP via Datasphere and replicate them to the destination--without requiring a watermark column.","feature_name":"Copy job - CDC based replication from SAP via Datasphere","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2025-11-18","release_item_id":"1670c585-c19a-f011-b4cc-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Expanded CDC Support for More Sources & Destinations \u2013 Simplifying Data Ingestion with Copy job","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/simplifying-data-ingestion-with-copy-job-expanded-cdc-support-for-more-sources-destinations","feature_description":"With the CDC mechanism, customers can automatically capture inserts, updates, and deletions from Snowflake, and replicate them to the supported destinations--without requiring a watermark column.","feature_name":"Copy job - CDC based replication from Snowflake","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2025-11-18","release_item_id":"13725833-bb9a-f011-b4cc-0022480b30e4","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Expanded CDC Support for More Sources & Destinations \u2013 Simplifying Data Ingestion with Copy job","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/simplifying-data-ingestion-with-copy-job-expanded-cdc-support-for-more-sources-destinations","feature_description":"With the CDC mechanism, customers can automatically capture inserts, updates, and deletions from Google BigQuery, and replicate them to supported destination--without requiring a watermark column.","feature_name":"Copy job - CDC based replication from Google BigQuery","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2025-11-18","release_item_id":"1258ff8c-c09a-f011-b4cc-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"OneLake File Explorer: Smarter, More Reliable, and Seamlessly Integrated","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/onelake-file-explorer-smarter-more-reliable-and-seamlessly-integrated","feature_description":"OneLake file explorer will offer the full support that comes with Generally Availablity (GA). The OneLake file explorer application seamlessly integrates OneLake with Windows File Explorer. This application automatically syncs all OneLake items that you have access to in Windows File Explorer."Sync" refers to pulling up-to-date metadata on files and folders, and sending changes made locally to the OneLake service. Syncing doesn't download the data, it creates placeholders. You must double-click on a file to download the data locally.When you create, update, or delete a file via Windows File Explorer, it automatically syncs the changes to OneLake service. Updates to your item made outside of your File Explorer aren't automatically synced. To pull these updates, you need to right-click on the item or subfolder in Windows File Explorer and select OneLake > Sync from OneLake.","feature_name":"OneLake file explorer GA","last_modified":"2026-04-08","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"2026-04-15","release_item_id":"c265c7b8-09b9-f011-bbd3-6045bd00f9db","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Copy job Activity\u00a0in pipelines\u00a0(Preview)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/now-in-public-preview-copy-job-activity-in-pipelines","feature_description":"New connectors are planned in Copy job, and Pipeline activities 1. SharePoint Online File (as source and destination)3. Google BigQuery (as destination)4. MySQL (as destination)5. 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