{"data":[{"active":true,"blog_title":"Fast copy in Dataflows Gen2","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/fast-copy-in-dataflows-gen-2","feature_description":"Partitioned Compute is a capability of Dataflow Gen2 that enables parts of a dataflow to run in parallel, reducing the time to finish its evaluations.Partitioned compute targets scenarios where the Dataflow engine can efficiently fold operations that can partition the data source and process each partition in parallel. For example, in a scenario where you're connecting to multiple files stored in an Azure Data Lake Storage Gen2, you can partition the list of files from your source, efficiently retrieve the partitioned list of files using query folding, use the combine files experience, and process all files in parallel.By moving to GA, Partitioned Compute becomes a stable, supported foundation for performant and highly scalable data transformation in Fabric.","feature_name":"Dataflows - Dataflows Gen2 Partitioned Compute","last_modified":"2026-04-16","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-06-02","release_item_id":"385260b0-5b07-ef11-9f89-000d3a34b75c","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"New Dataflow Gen2 data destinations and experience improvements","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/new-dataflow-gen2-data-destinations-and-experience-improvements","feature_description":"We are introducing Google Cloud Storage (GCS) as a new data destination for Dataflow Gen2 in Preview, enabling customers to land transformed data from Microsoft Fabric directly into Google Cloud Storage using Dataflow Gen2's low-code Power Query experience.This preview expands Dataflow Gen2's destination ecosystem to better support multi-cloud data architectures, giving customers with existing investments in Google Cloud a simple way to integrate Fabric-based transformations into their broader data estate.Key benefits and scenarios:* Publish curated outputs from Dataflow Gen2 directly to Google Cloud Storage buckets* Support multi-cloud ingestion and data sharing scenarios while centralizing transformation logic in Fabric* Enable teams to prepare and standardize data in Fabric before making it available to GCP-based analytics, processing, or downstream pipelinesDuring Preview, the Google Cloud Storage data destination is intended for evaluation and feedback, allowing customers to validate connectivity patterns, performance characteristics, and integration workflows ahead of broader production use.This release is part of our broader effort to make Dataflow Gen2 a flexible, low-code transformation layer across clouds, with ongoing investments planned to further mature and expand multi-cloud destination support in Fabric.","feature_name":"Dataflows - New Destination: Google Cloud Storage","last_modified":"2026-04-11","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-29","release_item_id":"45a4fc04-9ab3-f011-bbd3-000d3a30273e","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"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":"Apache Airflow jobs in Fabric provide the most effective and easy way to build DAG workflows using our built-in Python code editor. Now that we have enabled workpsace identity (WI) support for our Fabric providers, orchestrating Fabric jobs from Airflow is super easy.","feature_name":"Airflow - Workspace Identity Support","last_modified":"2026-04-09","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-31","release_item_id":"d5aeaf0b-2701-f111-8406-000d3a376137","release_status":"Planned","release_type":"Public preview"},{"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":"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":"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":"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. 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":"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":"The Change Data Capture (CDC) capability in Copy Job is generally available.","feature_name":"Copy Job -  Change Data Capture (CDC) capability GA","last_modified":"2026-04-07","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-30","release_item_id":"c4e7283e-6821-f011-998a-0022480939f0","release_status":"Planned","release_type":"General availability"},{"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":"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":"2026-04-01","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":"Announcing preview of Workspace Monitoring","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/announcing-public-preview-of-workspace-monitoring","feature_description":"We will enhance the Diagnostics experience for Apache Airflow jobs developers by surfacing logs in the Fabric Workspace Monitoring experience.","feature_name":"Airflow - Workspace logs integration for Diagnostics","last_modified":"2026-04-01","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-29","release_item_id":"34a3246d-5921-f011-9989-000d3a329ecb","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Evaluate Power Query Programmatically in Microsoft Fabric (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/execute-power-query-programmatically-in-microsoft-fabric","feature_description":"Modern Get Data offers highly intuitive methods for users to connect to their data from a wide range of data sources. By integrating Modern Get Data with Power BI Desktop, users will also be able to easily discover and consume data stored in Fabric via the OneLake Catalog which is now deeply integrated within the Modern Get Data experience. This Modern Get Data experience facilitates an efficient process for importing data into Power BI reports to enable self-service data analytics.","feature_name":"Power Query - Modern Power Query Get Data in Power BI Desktop","last_modified":"2026-04-01","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-05-18","release_item_id":"ecdec705-121b-f011-9989-6045bd03a542","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Manual update for on-premises data gateway (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/manual-update-for-on-premises-data-gateway-public-preview","feature_description":"The on-premises data gateway auto-upgrade feature ensures that the gateway always runs the latest version, providing improved functionality, security updates, and new features without manual intervention. This feature simplifies the management of the gateway by automatically downloading and installing updates as they become available.","feature_name":"Gateways - On-premises data gateway auto-update","last_modified":"2026-04-01","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-31","release_item_id":"fbc4cae9-0693-ef11-ac21-6045bd062aa2","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Workspace Outbound Access Protection for Data Factory\u00a0and OneLake Shortcuts (Preview)","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/workspace-outbound-access-protection-for-data-factory","feature_description":"Dataflow Gen2, Pipeline, Copy Job will support Workspace DEP also reffered as "Outbound Access Protection".","feature_name":"Security - Workspace Data Exfiltration Protection (DEP)","last_modified":"2026-04-01","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-01-30","release_item_id":"5c1d6f03-7320-f011-998a-0022480939f0","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Audit columns in Copy job in Fabric Data Factory\u2014every row is traceable for data lineage and compliance","blog_url":"https://blog.fabric.microsoft.com/en-US/blog/audit-columns-in-copy-job-in-fabric-data-factory-every-row-is-traceable-for-data-lineage-and-compliance","feature_description":"You can use Copy job to add audit-style system columns when moving data to your destination, improving data lineage and compliance. This feature provides row-level visibility into your destination data, showing when rows were moved and where they came from, enabling downstream data lineage tracking and compliance reporting across the entire stack.","feature_name":"Copy Job - Audit Column","last_modified":"2026-03-27","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"ec4d989c-6921-f011-998a-0022480939f0","release_status":"Shipped","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":"2026-03-26","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":"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 - Output Destinations: Recents Support","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-09-29","release_item_id":"d1f84414-4621-f011-998a-000d3a341dd9","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Unlocking the Next Generation of Data Transformations with Dataflow Gen2 \u2013 FabCon Europe 2025 Announcements","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/unlocking-the-next-generation-of-data-transformations-with-dataflow-gen2-fabcon-europe-2025-announcements","feature_description":"Mapping Data Flows transformations are coming to Dataflow Gen2, bringing the proven, low-code Spark-based transformation capabilities of Azure Data Factory and Azure Synapse directly into Microsoft Fabric. With this enhancement, customers can author and run complex data transformations at scale using the same visual, code-free experience they rely on today--now natively integrated into the Fabric Dataflow Gen2 experience.This capability unlocks the full power of Mapping Data Flows within Fabric, enabling advanced transformations that are optimized for large datasets and predictable performance. Data engineers and analytics teams can take advantage of Spark-based execution while staying within a unified Fabric Data Factory environment, reducing the need for separate tools and simplifying operational management.Just as importantly, upcoming support for Mapping Data Flows in Dataflow Gen2 enables a seamless migration path for existing Azure Data Factory and Synapse customers. Teams can move their existing Mapping Data Flow assets into Fabric Data Factory with minimal rework, preserving investments in transformation logic while modernizing their data integration architecture on Fabric.","feature_name":"Dataflows - Support for Mapping Data Flow transformations in Dataflow Gen2","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-06-02","release_item_id":"9da9331f-5629-f111-8341-000d3a36696c","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":"Network security is critical to running an effective and secured Apache Airflow environment. We are excited to bring Vnet and Private Link support to Apache Airflow jobs in Fabric Data Factory.","feature_name":"Airflow - Network Security","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-05-01","release_item_id":"46139b5a-c49d-f011-b41c-6045bd00f9db","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Fabric Data Pipelines \u2013 Advanced Scheduling Techniques (Part 2: Run a Pipeline on a Specific Day)","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/fabric-data-pipelines-advanced-scheduling-techniques-part-2-run-a-pipeline-on-a-specific-day","feature_description":"Pipelines in Fabric Data Factory emphasize general re-use patterns and metadata driven methodologies. 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We are bringing this powerful scheduling technique to Fabric through "interval-based schedules" in the Fabric scheduler.","feature_name":"Pipelines - Tumbling Window Triggers","last_modified":"2026-03-26","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"2026-03-16","release_item_id":"fd135b6a-fc9a-f011-b4cc-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Dataflows Gen2 data destinations and managed settings","blog_url":"https://blog.fabric.microsoft.com/en-us/blog/dataflows-gen-2-data-destinations-and-managed-settings","feature_description":"One of the most requested enhancements to the Output Destinations experience over relational databases is having the ability to create new tables within specific schemas. 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