This feature delivers a comprehensive Notebook Run Lineage experience for Spark applications, enabling data engineers to monitor and analyze complex notebook workflows with ease. It provides an at-a-glance view of all notebook run statuses, helps quickly identify root-cause failures across nested executions, and highlights performance bottlenecks. Users can filter and explore large execution graphs, access detailed error and run-level information, and view aggregated summaries of execution health and resource usage--all in one place.
","feature_name":"Track and Manage Notebook Run Dependencies & Linage View","last_modified":"2026-09-17","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q1 2027","release_item_id":"71469140-3550-f111-bec7-6045bd00fc61","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Mastering Declarative Data Transformations with Materialized Lake Views","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/mastering-declarative-data-transformations-with-materialized-lake-views/5172617","distance":0.6774,"feature_description":"Multi Lakehouse support in Lineage enables users to visualize and manage dependencies of Materialized Lake Views (MLVs) across multiple workspaces and lakehouses, providing a unified view that helps prevent data silos and improves transparency. It is designed to support scalable lineage tracking, advanced search, and focused navigation, making it easier for data teams to trace upstream and downstream dependencies.","feature_description_html":"Multi Lakehouse support in Lineage enables users to visualize and manage dependencies of Materialized Lake Views (MLVs) across multiple workspaces and lakehouses, providing a unified view that helps prevent data silos and improves transparency. It is designed to support scalable lineage tracking, advanced search, and focused navigation, making it easier for data teams to trace upstream and downstream dependencies.
","feature_name":"Fabric Materialized Lake Views - Multi Workspace/Lakehouse execution support","last_modified":"2026-06-16","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q2 2026","release_item_id":"f152e5fd-1fbf-f011-bbd3-000d3a3740cc","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"distance":0.773,"feature_description":"Conditional formatting to be available for series in Power BI visuals. This includes lines, markers, and legends.","feature_description_html":"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":"2026-07-31","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q3 2026","release_item_id":"853c11fa-d11f-f111-8341-6045bd0a8ec1","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Notebook Live Versioning","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/notebook-live-versioning/5172987","distance":0.7757,"feature_description":"With live versioning Fabric Notebook developers can track the history of changes made to their notebooks, compare different verions and restore previous versions if needed.","feature_description_html":"With live versioning Fabric Notebook developers can track the history of changes made to their notebooks, compare different verions and restore previous versions if needed.
","feature_name":"Notebook live versioning","last_modified":"2026-06-16","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q1 2025","release_item_id":"0dfbf36c-0993-ef11-ac21-002248098a98","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Notebook Live Versioning","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/notebook-live-versioning/5172987","distance":0.7816,"feature_description":"With live versioning Fabric Notebook developers can track the history of changes made to their notebooks, compare different verions and restore previous versions if needed.Live versioning is now GA.","feature_description_html":"With live versioning Fabric Notebook developers can track the history of changes made to their notebooks, compare different verions and restore previous versions if needed.Live versioning is now GA.
","feature_name":"Notebook live versioning","last_modified":"2026-06-16","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q2 2025","release_item_id":"a4ad1c7d-1322-f011-9989-6045bd096807","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Cross-workspace logging for MLflow in Microsoft Fabric: Build MLOps workflows with confidence (Generally Available)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/cross-workspace-logging-for-mlflow-in-microsoft-fabric-build-mlops-workflows-wit/5172000","distance":0.7826,"feature_description":"MLflow 3 arrives in Fabric with support for tracing, logged models, and an upgraded experiment tracking UX. The update introduces a new trace table view and nested trace visualization for inspecting multi-step model execution paths, a dedicated trace detail page, and the logged model API and UX for capturing and managing model artifacts as first-class objects. Together, these provide a more structured workflow for tracking experiments, registering models, and understanding model behavior.","feature_description_html":"MLflow 3 arrives in Fabric with support for tracing, logged models, and an upgraded experiment tracking UX. The update introduces a new trace table view and nested trace visualization for inspecting multi-step model execution paths, a dedicated trace detail page, and the logged model API and UX for capturing and managing model artifacts as first-class objects. Together, these provide a more structured workflow for tracking experiments, registering models, and understanding model behavior.
","feature_name":"MLFlow 3 in Fabric : logged model and traces","last_modified":"2026-06-16","product_id":"0522b590-dcd6-ee11-9079-000d3a310f67","product_name":"Data Science","release_date":"Q2 2026","release_item_id":"39e50387-3c53-f111-bec7-6045bd00fc61","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"distance":0.7895,"feature_description":"Resource Links let you attach resources to the entity types they describe, so insights live alongside the data model that powers them. Starting with Power BI reports, when someone explores an entity in your ontology, they can immediately see the relevant Power BI reports that show how that data is analyzed, monitored, and used without needing to search across tools or guess which report applies.","feature_description_html":"Resource Links let you attach resources to the entity types they describe, so insights live alongside the data model that powers them. Starting with Power BI reports, when someone explores an entity in your ontology, they can immediately see the relevant Power BI reports that show how that data is analyzed, monitored, and used without needing to search across tools or guess which report applies.
","feature_name":"Resource Links - Link PBI Reports","last_modified":"2026-06-17","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q2 2026","release_item_id":"1bfc0233-f9ce-f011-bbd3-0022480a2ecf","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"distance":0.7942,"feature_description":"Change your Ontology with confidence. Every saved version is listed newest-first with its timestamp, author, and description, so teams building an Ontology together can always see what changed, who changed it, and roll back to any earlier state.","feature_description_html":"Change your Ontology with confidence. Every saved version is listed newest-first with its timestamp, author, and description, so teams building an Ontology together can always see what changed, who changed it, and roll back to any earlier state.
","feature_name":"Ontology Versioning","last_modified":"2026-10-02","product_id":"cef5a30d-562f-f011-8c4d-6045bd096d8f","product_name":"IQ","release_date":"Q3 2026","release_item_id":"e52b1f9e-3e40-f111-88b4-000d3a308b7b","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Introducing new Git developer experiences in Microsoft Fabric (Preview)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/introducing-new-git-developer-experiences-in-microsoft-fabric-preview/5172181","distance":0.7953,"feature_description":"When developers branch out to work on a specific feature, they can now select only the items they need instead of copying all workspace items to the target. This reduces setup time and lets developers start coding faster.","feature_description_html":"When developers branch out to work on a specific feature, they can now select only the items they need instead of copying all workspace items to the target. This reduces setup time and lets developers start coding faster.
","feature_name":"Git Integration - Selective Branching","last_modified":"2026-09-08","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q3 2026","release_item_id":"44beb659-642c-f111-88b4-6045bd0a886d","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Fabric CI/CD announcements- supporting new items and much more!","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/fabric-cicd-announcements--supporting-new-items-and-much-more/5173213","distance":0.7973,"feature_description":"**Release:** Public Preview | **Product area:** Fabric CI/CD**Deployment plan** is a Fabric workspace item that lets you define the order in which items deploy and run automated actions before or after deployment.Use the visual canvas to:- Group the items you want to deploy and define dependencies between deployment groups- Add pre-deploy and post-deploy actions, such as running a Notebook, Data Pipeline, Copy Job, Dataflow Gen2, or User Data FunctionAttach a deployment plan when you use supported Git integration operations, deploy through a Deployment Pipeline, or call a supported REST API. During deployment, Fabric combines the plan's explicit dependencies with Fabric lineage to determine execution order. If an item or action fails, the operation stops without rolling back completed work.The result is a repeatable deployment flow that follows your intended order and runs the required actions around each item deployment.","feature_description_html":"Release: Public Preview | Product area: Fabric CI/CDDeployment plan is a Fabric workspace item that lets you define the order in which items deploy and run automated actions before or after deployment.
\nUse the visual canvas to:
\nThe result is a repeatable deployment flow that follows your intended order and runs the required actions around each item deployment.
","feature_name":"Deployment Plan","last_modified":"2026-10-05","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q4 2026","release_item_id":"fbee65ff-2b8b-f111-ab0f-6045bd03ee11","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Data Factory Adds CI/CD to Fabric Data Pipelines","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/data-factory-adds-cicd-to-fabric-data-pipelines/5173239","distance":0.7981,"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_description_html":"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":"2026-06-16","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"754bc857-509d-f011-b41c-6045bd00f9db","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"distance":0.7983,"feature_description":"Display a built-in trend chart (line or column) inside Card visuals to show how values change over time. No SVGs or extra visuals needed.","feature_description_html":"Display a built-in trend chart (line or column) inside Card visuals to show how values change over time. No SVGs or extra visuals needed.
","feature_name":"Card Visual - Trend Chart","last_modified":"2026-08-24","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q4 2026","release_item_id":"df66c8a5-d46f-f111-ab0d-000d3a376137","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"IDENTITY columns support for Identity Insert (Generally Available)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/IDENTITY-columns-support-for-Identity-Insert-Generally-Available/ba-p/5361138","distance":0.801,"feature_description":"Identity columns are numeric columns that automatically increment with each new row value that is inserted into a table with an Identity column defined.","feature_description_html":"Identity columns are numeric columns that automatically increment with each new row value that is inserted into a table with an Identity column defined.
","feature_name":"Identity columns","last_modified":"2026-06-16","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q4 2025","release_item_id":"62789c47-9a82-ef11-ac21-002248098a98","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"IDENTITY columns support for Identity Insert (Generally Available)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/IDENTITY-columns-support-for-Identity-Insert-Generally-Available/ba-p/5361138","distance":0.801,"feature_description":"Identity columns are numeric columns that automatically increment with each new row value that is inserted into a table with an Identity column defined.","feature_description_html":"Identity columns are numeric columns that automatically increment with each new row value that is inserted into a table with an Identity column defined.
","feature_name":"Identity columns","last_modified":"2026-09-09","product_id":"fa3a73cd-dcd6-ee11-9079-000d3a310f67","product_name":"Data Warehouse","release_date":"Q3 2026","release_item_id":"d7c986cd-1322-f011-998a-0022480939f0","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"distance":0.8035,"feature_description":"When automating pipeline execution across complex data ecosystems, it is very important to only invoke those pipelines when specific requirements have first been met. In Fabric Data Factory, we refer to these as "pipeine dependencies". With this new feature, you will be able to set independent rules for each pipeline that requires data presences, trigger status, and pipeline status as optional depedency parameters for your pipeline runs.","feature_description_html":"When automating pipeline execution across complex data ecosystems, it is very important to only invoke those pipelines when specific requirements have first been met. In Fabric Data Factory, we refer to these as \"pipeine dependencies\". With this new feature, you will be able to set independent rules for each pipeline that requires data presences, trigger status, and pipeline status as optional depedency parameters for your pipeline runs.
","feature_name":"Pipelines - Pipeline Dependencies","last_modified":"2026-07-13","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"6c71cf1a-007f-f111-ab0f-6045bd00f798","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"distance":0.8044,"feature_description":"This feature is to offer a model alias that provides a stable, human-readable name pointing to a specific model version. This lets them switch, promote, or roll back model versions safely without breaking downstream integrations.","feature_description_html":"This feature is to offer a model alias that provides a stable, human-readable name pointing to a specific model version. This lets them switch, promote, or roll back model versions safely without breaking downstream integrations.
","feature_name":"MLOps: model alias","last_modified":"2026-06-16","product_id":"0522b590-dcd6-ee11-9079-000d3a310f67","product_name":"Data Science","release_date":"Q3 2026","release_item_id":"761be85d-2358-f111-bec7-6045bd00f798","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Introducing the new OneLake catalog: Your central hub for data discovery, management, and governance","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/introducing-the-new-onelake-catalog-your-central-hub-for-data-discovery-manageme/5173030","distance":0.8051,"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_description_html":"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.
\n*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":"2026-06-16","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"Q1 2026","release_item_id":"86a39e25-2f62-f011-bec2-000d3a302e4a","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Introducing New Branching Capabilities in Fabric Git Integration","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/introducing-new-branching-capabilities-in-fabric-git-integration/5173161","distance":0.8062,"feature_description":"This update to Fabric Git integration introduces enhanced branch-related capabilities, providing users with a seamless method to work in isolation, an essential aspect of any workflow. This release encompasses several improvements to the connection between Fabric and Git branches:* Branching Out to New Workspace: Users can effortlessly branch out to new work environments with just a few clicks. This feature facilitates the creation of a new workspace synced with a corresponding new branch, ready for developers to begin their work. Once tasks are completed, merging back can easily be done via the existing Git workflow. This ensures isolation and streamlines the developers' work process.* Contextual Workspace Navigation: To streamline navigation between related workspaces, a "related branches" section is added to the source control pane. This area displays any connected workspaces sharing the same Git connection, allowing users to seamlessly transition between them. This functionality enhances workflow continuity and aids in maintaining context within Fabric.* Improved Source Control Pane Structure: The Git source control pane is redesigned for enhanced usability. It will feature separate tabs for managing changes and updates, branch-related actions and navigation, and additional tabs planned for future updates. This restructuring aims to simplify interaction with the source control pane, providing users with a more intuitive experience.","feature_description_html":"This update to Fabric Git integration introduces enhanced branch-related capabilities, providing users with a seamless method to work in isolation, an essential aspect of any workflow. This release encompasses several improvements to the connection between Fabric and Git branches:
\nIntroducing a new Branched workspace is a new developer experience for working with feature workspaces when performing a 'branch-out' operation.Developer will gain more insights with new visual cues understand better which workspaces are related and provide new functionalities which enhance the developer experience when using branch-out functionality.
","feature_name":"Git Integration - Branched Workspaces (Folder Relation)","last_modified":"2026-06-16","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q1 2026","release_item_id":"d77c56b0-21b0-f011-bbd3-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Announcing the preview of the REST API for Livy for Data Engineering.","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/announcing-the-preview-of-the-rest-api-for-livy-for-data-engineering-/5172975","distance":0.8088,"feature_description":"Apache Livy is an API that enables easy interaction with a Spark cluster over a REST interface. It enables easy submission of Spark jobs or snippets of Spark code, synchronous or asynchronous result retrieval, as well as Spark Context management, all via a simple REST interface or an RPC client library. Apache Livy API also simplifies the interaction between Spark and application servers, thus enabling the use of Spark for interactive web/mobile applications.","feature_description_html":"Apache Livy is an API that enables easy interaction with a Spark cluster over a REST interface. It enables easy submission of Spark jobs or snippets of Spark code, synchronous or asynchronous result retrieval, as well as Spark Context management, all via a simple REST interface or an RPC client library. Apache Livy API also simplifies the interaction between Spark and application servers, thus enabling the use of Spark for interactive web/mobile applications.
","feature_name":"Livy API - General Availability","last_modified":"2026-06-16","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q2 2025","release_item_id":"e3b1e6c9-c98c-ef11-ac21-00224804e9b4","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Optimize your storage costs with OneLake storage tiers and lifecycle management (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Optimize-your-storage-costs-with-OneLake-storage-tiers-and/ba-p/5179295","distance":0.8096,"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_description_html":"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":"2026-06-16","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"Q2 2026","release_item_id":"e48ce514-09b9-f011-bbd3-000d3a5972d8","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Optimize your storage costs with OneLake storage tiers and lifecycle management (Preview)","blog_url":"https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Optimize-your-storage-costs-with-OneLake-storage-tiers-and/ba-p/5179295","distance":0.8096,"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_description_html":"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":"2026-06-16","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"Q3 2026","release_item_id":"70f85dde-1a40-f111-88b4-000d3a376c0f","release_status":"Planned","release_type":"General availability"},{"active":true,"blog_title":"Govern in OneLake Catalog for Fabric admins (Preview)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/govern-in-onelake-catalog-for-fabric-admins-preview/5172446","distance":0.8106,"feature_description":"OneLake catalog is a complete solution to explore, manage and govern your entire Fabric data estate. The OneLake catalog is an evolution of the OneLake data hub experience with enhancements that will help all Fabric users discover and manage trusted data, as well as provide governance for data owners with valuable insights, recommended actions, and tooling. The OneLake catalog comes with two 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 description, data lineage, permissions, and activity. And in the Govern tab, data owners can see an overview of their data with insights on endorsements, data labeling, data type, and more, and get recommended actions to enhance their data for better quality and compliance. The Explore tab is now generally available and the Govern tab will be coming soon in preview.","feature_description_html":"OneLake catalog is a complete solution to explore, manage and govern your entire Fabric data estate. The OneLake catalog is an evolution of the OneLake data hub experience with enhancements that will help all Fabric users discover and manage trusted data, as well as provide governance for data owners with valuable insights, recommended actions, and tooling. The OneLake catalog comes with two 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 description, data lineage, permissions, and activity. And in the Govern tab, data owners can see an overview of their data with insights on endorsements, data labeling, data type, and more, and get recommended actions to enhance their data for better quality and compliance. The Explore tab is now generally available and the Govern tab will be coming soon in preview.
","feature_name":"Fabric OneLake catalog","last_modified":"2026-06-16","product_id":"796a0af7-2dc7-ee11-9079-000d3a3419a8","product_name":"Administration, Governance and Security","release_date":"Q4 2024","release_item_id":"e6127528-be08-ef11-9f89-000d3a34b75c","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Private ADLS Gen2 access made easy with OneLake Shortcuts: a step-by-step guide","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/private-adls-gen2-access-made-easy-with-onelake-shortcuts-a-step-by-step-guide/5172925","distance":0.8108,"feature_description":"To deliver a compelling application lifecycle management story, tracking object metadata in git and supporting deployment pipelines is imperative. In the Data Engineering modules, as workspaces are integrated to git.In this first iteration, OneLake Shortcuts will automatically be deployed across pipeline stages and workspaces. Shortcut connections can be remapped across stages using a new Microsoft Fabric item named variable library, assuring proper isolation and environment segmentation customers expect.","feature_description_html":"To deliver a compelling application lifecycle management story, tracking object metadata in git and supporting deployment pipelines is imperative. In the Data Engineering modules, as workspaces are integrated to git.In this first iteration, OneLake Shortcuts will automatically be deployed across pipeline stages and workspaces. Shortcut connections can be remapped across stages using a new Microsoft Fabric item named variable library, assuring proper isolation and environment segmentation customers expect.
","feature_name":"Lakehouse Shortcuts metadata on git and deployment pipelines","last_modified":"2026-06-16","product_id":"a731518f-36ca-ee11-9079-000d3a341a60","product_name":"Data Engineering","release_date":"Q1 2025","release_item_id":"0ebf2013-b7f8-ee11-a1fe-000d3a340b2c","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Run Spark Job Definitions in Pipelines with Service Principal or Workspace Identity","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/run-spark-job-definitions-in-pipelines-with-service-principal-or-workspace-ident/5172396","distance":0.8127,"feature_description":"When automating your Fabric Data Factory pipelines, you will greatly benefit from having the flexibility to set the identity (i.e. user, SPN, workspace identity) of the pipeine at the time of execution. With this feature, you can now set it easily from the scheduler API and scheduler UI.","feature_description_html":"When automating your Fabric Data Factory pipelines, you will greatly benefit from having the flexibility to set the identity (i.e. user, SPN, workspace identity) of the pipeine at the time of execution. With this feature, you can now set it easily from the scheduler API and scheduler UI.
","feature_name":"Pipelines - Set the "Run As" identity of the pipeline from the pipeline schedule","last_modified":"2026-07-13","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2026","release_item_id":"99108f89-076f-f011-bec2-00224804b6c3","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Dataflow Gen2 CI/CD and GIT source control integration are now in preview!","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/dataflow-gen2-cicd-and-git-source-control-integration-are-now-in-preview/5173017","distance":0.8133,"feature_description":"Dataflow Gen2 capabilities will be enhanced to support the following features in Fabric, including:* Being able to include Dataflow Gen2 items in ALM deployment pipelines.* Being able to leverage Dataflow Gen2 items with source control (Git integration) capabilities.These are highly requested capabilities from many customers, and we're excited to make them available as a Preview feature.","feature_description_html":"Dataflow Gen2 capabilities will be enhanced to support the following features in Fabric, including:
\nThese are highly requested capabilities from many customers, and we're excited to make them available as a Preview feature.
","feature_name":"Dataflow Gen2 CI/CD","last_modified":"2026-06-16","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q1 2025","release_item_id":"3ef2d98c-f9d6-ee11-9079-000d3a310f67","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Introducing new Git developer experiences in Microsoft Fabric (Preview)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/introducing-new-git-developer-experiences-in-microsoft-fabric-preview/5172181","distance":0.8133,"feature_description":"When developers want to start working on specific feature within Fabric, the user will be able to perform the branch-out operation and select the specific items that require for the feature instead of having all the Fabric items in the target workspace (as today)This will enhance the developer experience and will reduce their time time-to-code.","feature_description_html":"When developers want to start working on specific feature within Fabric, the user will be able to perform the branch-out operation and select the specific items that require for the feature instead of having all the Fabric items in the target workspace (as today)This will enhance the developer experience and will reduce their time time-to-code.
","feature_name":"Git Integration - Selective Branching","last_modified":"2026-06-16","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q1 2026","release_item_id":"aba77a52-20b0-f011-bbd3-000d3a5b0efa","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Introducing New Branching Capabilities in Fabric Git Integration","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/introducing-new-branching-capabilities-in-fabric-git-integration/5173161","distance":0.8134,"feature_description":"Branched workspaces introduce a redesigned developer experience for branch-out operations. Visual cues now show which workspaces are related, making it easier to navigate feature branches. New capabilities streamline the branch-out workflow and give developers more control over their feature workspaces.","feature_description_html":"Branched workspaces introduce a redesigned developer experience for branch-out operations. Visual cues now show which workspaces are related, making it easier to navigate feature branches. New capabilities streamline the branch-out workflow and give developers more control over their feature workspaces.
","feature_name":"Git Integration - Branched Workspaces","last_modified":"2026-10-05","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q3 2026","release_item_id":"50289248-632c-f111-88b4-6045bd0a886d","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Microsoft Fabric May 2024 Update","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/microsoft-fabric-may-2024-update/5173204","distance":0.8144,"feature_description":"We are continiously making a ton of improvement in the core visuls space and in this upcomming update we will be working on several of your top items including:* Layout options for the matrix visual* Reference layer enhancements for the Azure Maps visual* Improved legends for cartesian charts* More flexible markers for line and scatter charts* A completely revamped list slicer","feature_description_html":"We are continiously making a ton of improvement in the core visuls space and in this upcomming update we will be working on several of your top items including:
\nSome Fabric items have children items such as Lakehouse, Data Warehouse, etc. This feature enables you to easily view the parent-child items relationship in workspace UI and also makes the items list cleaner.
","feature_name":"Parent-child items in workspaces","last_modified":"2026-06-16","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q4 2023","release_item_id":"3a202b9c-02d7-ee11-9079-000d3a341a60","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Dataflow Gen2 CI/CD, GIT integration and Public APIs (Generally Available)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/dataflow-gen2-cicd-git-integration-and-public-apis-generally-available/5172756","distance":0.8156,"feature_description":"Dataflow Gen2 items will support CI/CD capabilities in Fabric, including source control (Git integration) as well as ALM Deployment Pipelines.","feature_description_html":"Dataflow Gen2 items will support CI/CD capabilities in Fabric, including source control (Git integration) as well as ALM Deployment Pipelines.
","feature_name":"Dataflows - Dataflow Gen2 CI/CD support","last_modified":"2026-06-16","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q2 2025","release_item_id":"13a80108-ac90-ef11-ac21-002248098a98","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"distance":0.8171,"feature_description":"Introduce robust support for Application Lifecycle Management (ALM). The Public Preview of Org Apps will be updated to support change management via Git and can leverage Fabric Deployment Pipelines. This enables scenarios such as source control integration, version management, Continuous Integration and Continuous Delivery (CI/CD) for repeatable mission-critical deployments.","feature_description_html":"Introduce robust support for Application Lifecycle Management (ALM). The Public Preview of Org Apps will be updated to support change management via Git and can leverage Fabric Deployment Pipelines. This enables scenarios such as source control integration, version management, Continuous Integration and Continuous Delivery (CI/CD) for repeatable mission-critical deployments.
","feature_name":"ALM support for Org Apps","last_modified":"2026-06-16","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q1 2025","release_item_id":"45a0a782-4c92-ef11-ac21-6045bd062aa2","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"distance":0.8173,"feature_description":"A current limitation is that we do not present users with the name of the artifact that produced an artifact execution, for example, when a Data Pipeline triggers the execution of a Dataflow Gen2 artifact. We will provide a TriggeredBy field to capture the origin of each item invocation for monitoring purposes.","feature_description_html":"A current limitation is that we do not present users with the name of the artifact that produced an artifact execution, for example, when a Data Pipeline triggers the execution of a Dataflow Gen2 artifact. We will provide a TriggeredBy field to capture the origin of each item invocation for monitoring purposes.
","feature_name":"Data Pipelines - "Triggered By" information for Data Pipeline activities","last_modified":"2026-06-16","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2025","release_item_id":"e1155791-5721-f011-9989-000d3a329ecb","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":null,"blog_url":null,"distance":0.8174,"feature_description":"Formatting pane options for where the scroll bar starts from when visible on the axis of a visual. For example, if I have a line chart showing trends over time, I can set this to scroll from right and when viewers open the report the latest data points show first and they can scroll to the left to see the historical trend.","feature_description_html":"Formatting pane options for where the scroll bar starts from when visible on the axis of a visual. For example, if I have a line chart showing trends over time, I can set this to scroll from right and when viewers open the report the latest data points show first and they can scroll to the left to see the historical trend.
","feature_name":"Visuals categorical axis "scroll starts from" option (scroll from right)","last_modified":"2026-10-21","product_id":"642a8375-05fc-ee11-a1ff-000d3a341a60","product_name":"Power BI","release_date":"Q3 2026","release_item_id":"8b284de2-eb5a-f111-bec7-000d3a376137","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Connecting to OneLake","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/connecting-to-onelake%C2%A0/5172301","distance":0.8182,"feature_description":"Telmai is a data quality analysis and monitoring platform that helps data teams proactively understand, detect, and resolve data quality issues without writing code, SQL, or rules. Telmai now supports connecting to Microsoft OneLake to assest and monitor datasets for quality assurance.","feature_description_html":"Telmai is a data quality analysis and monitoring platform that helps data teams proactively understand, detect, and resolve data quality issues without writing code, SQL, or rules. Telmai now supports connecting to Microsoft OneLake to assest and monitor datasets for quality assurance.
","feature_name":"Telmai OneLake connector","last_modified":"2026-06-16","product_id":"94e84e43-aa69-f011-bec2-00224804b6c3","product_name":"Fabric Ecosystem","release_date":"Q1 2026","release_item_id":"93425130-8100-f111-8406-6045bd00f798","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Shortcut transformations: Turn files into Delta tables without pipelines (Generally Available)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/shortcut-transformations-turn-files-into-delta-tables-without-pipelines-generall/5172045","distance":0.8186,"feature_description":"Handling additional columns, reordered columns, missing columns, and duplicate rows remains one of the top challenges for users in the current Shortcut Transformations experience. This feature aims to allow users to define and preview schemas, rename columns, change data types, and handle various schema evolution scenarios applicable to file-based data transformation. With these capabilities, users can simplify complex schema management in file data processing and gain complete control using Shortcut Transformations. Define and preview your schema, rename columns, adjust data types, and seamlessly handle changes such as added, missing, or reordered columns--all without disrupting your workflows.","feature_description_html":"Handling additional columns, reordered columns, missing columns, and duplicate rows remains one of the top challenges for users in the current Shortcut Transformations experience. This feature aims to allow users to define and preview schemas, rename columns, change data types, and handle various schema evolution scenarios applicable to file-based data transformation. With these capabilities, users can simplify complex schema management in file data processing and gain complete control using Shortcut Transformations. Define and preview your schema, rename columns, adjust data types, and seamlessly handle changes such as added, missing, or reordered columns--all without disrupting your workflows.
","feature_name":"Shortcut Transformations - Schema Definition, Preview and Drift","last_modified":"2026-06-16","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"Q2 2026","release_item_id":"4b2b2d21-2eba-f011-bbd3-000d3a3740cc","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"What\u2019s new with OneLake shortcuts","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/whats-new-with-onelake-shortcuts/5172847","distance":0.8198,"feature_description":"Microsoft Fabric's lifecycle management tools provide a standardized system for communication and collaboration between all members of the development team throughout the life of the product.With the introduction of CI/CD support for OneLake shortcuts, you can easiliy manage your deployment of OneLake shortcuts across environments.","feature_description_html":"Microsoft Fabric's lifecycle management tools provide a standardized system for communication and collaboration between all members of the development team throughout the life of the product.With the introduction of CI/CD support for OneLake shortcuts, you can easiliy manage your deployment of OneLake shortcuts across environments.
","feature_name":"CI/CD support for OneLake shortcuts","last_modified":"2026-06-16","product_id":"338c69fe-dcd6-ee11-9079-000d3a310f67","product_name":"OneLake","release_date":"Q1 2025","release_item_id":"4270e2be-7f98-ef11-8a6a-002248098a98","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Efficient and integrated\u00a0development with Real-Time Intelligence ALM","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/efficient-and-integrated%C2%A0development-with-real-time-intelligence-alm/5172977","distance":0.82,"feature_description":"Eventhouse ALM Support to allow for automatic deployments via Git Integration, Deployment Pipelines, and API with Definition.","feature_description_html":"Eventhouse ALM Support to allow for automatic deployments via Git Integration, Deployment Pipelines, and API with Definition.
","feature_name":"Eventhouse ALM Support","last_modified":"2026-06-16","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q3 2024","release_item_id":"50f3c278-f64a-ef11-a317-000d3a31cfdc","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Associated identities for items (Preview)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/associated-identities-for-items-preview/5172039","distance":0.8206,"feature_description":"Microsoft Fabric items and their schedules today implicitly execute under user identities (owner or creator), which makes production workloads fragile: pipelines, schedules, copy jobs, and shortcuts break when owners leave the organization or their tokens expire, and existing takeover flows only shift the dependency to another user rather than removing it. With this release, Fabric introduces associated Identity: a durable, user-selected execution identity that can be attached to an item through new UI and APIs, starting with Workspace Identity support and Schedule Run-as. You will be able to assciate workspace identity and other app-based identity types with items, schedules, and interative executions. This decouples execution from ownership so pipelines and schedules keep running through org churn and credential changes, reduces SPN and secret-management overhead, strengthens security by eliminating reliance on user tokens for background execution, and establishes a consistent identity model that workloads across Fabric leverage.","feature_description_html":"Microsoft Fabric items and their schedules today implicitly execute under user identities (owner or creator), which makes production workloads fragile: pipelines, schedules, copy jobs, and shortcuts break when owners leave the organization or their tokens expire, and existing takeover flows only shift the dependency to another user rather than removing it. With this release, Fabric introduces associated Identity: a durable, user-selected execution identity that can be attached to an item through new UI and APIs, starting with Workspace Identity support and Schedule Run-as. You will be able to assciate workspace identity and other app-based identity types with items, schedules, and interative executions. This decouples execution from ownership so pipelines and schedules keep running through org churn and credential changes, reduces SPN and secret-management overhead, strengthens security by eliminating reliance on user tokens for background execution, and establishes a consistent identity model that workloads across Fabric leverage.
","feature_name":"Associate an identity with Fabric items and schedules","last_modified":"2026-06-26","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q4 2026","release_item_id":"74c64750-0a4f-f111-bec7-000d3a376137","release_status":"Planned","release_type":"Public preview"},{"active":true,"blog_title":"Running Apache Airflow jobs seamlessly in Microsoft Fabric","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/running-apache-airflow-jobs-seamlessly-in-microsoft-fabric/5172862","distance":0.8246,"feature_description":"Apache Airflow job (earlier referred to as Data workflows) are powered by Apache Airflow and offer an integrated Apache Airflow runtime environment, enabling you to author, execute, and schedule Python DAGs with ease.","feature_description_html":"Apache Airflow job (earlier referred to as Data workflows) are powered by Apache Airflow and offer an integrated Apache Airflow runtime environment, enabling you to author, execute, and schedule Python DAGs with ease.
","feature_name":"Apache Airflow job: Build data pipelines powered by Apache Airflow","last_modified":"2026-06-16","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q2 2024","release_item_id":"c0837f80-9306-ef11-9f89-000d3a36eea4","release_status":"Shipped","release_type":"Public preview"},{"active":true,"blog_title":"Fabric CLI in Azure DevOps: automation without friction (Preview)","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/fabric-cli-in-azure-devops-automation-without-friction-preview/5172160","distance":0.8249,"feature_description":"The Microsoft Fabric ADO Pipelines Extension bundles the Fabric CLI and enables automated workspace creation and deployment of Fabric items in Azure Pipelines, ensuring consistent and repeatable delivery across environments.","feature_description_html":"The Microsoft Fabric ADO Pipelines Extension bundles the Fabric CLI and enables automated workspace creation and deployment of Fabric items in Azure Pipelines, ensuring consistent and repeatable delivery across environments.
","feature_name":"ADO Pipelines Extension for MS Fabric","last_modified":"2026-06-16","product_id":"c6da6b3b-ded6-ee11-9079-000d3a310f67","product_name":"Fabric Developer Experiences","release_date":"Q1 2026","release_item_id":"6b0c4600-6823-f011-8c4e-0022480939f0","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"Eventhouse OneLake Availability is Generally Available","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/eventhouse-onelake-availability-is-generally-available/5173170","distance":0.8256,"feature_description":"Enable adding, deleting, and renaming columns seamlessly without disabling OneLake Availability and deleting the mirrored lake data.","feature_description_html":"Enable adding, deleting, and renaming columns seamlessly without disabling OneLake Availability and deleting the mirrored lake data.
","feature_name":"Eventhouse OneLake Availability - support schema evolution","last_modified":"2026-06-16","product_id":"58cb90aa-4203-ef11-a1fd-000d3a36eea4","product_name":"Real-Time Intelligence","release_date":"Q1 2026","release_item_id":"f84f82d7-1816-f011-998a-6045bd06bb0b","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":"AI-powered development with Copilot for Data pipeline \u2013 Boost your productivity in understanding and updating pipeline","blog_url":"https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/ai-powered-development-with-copilot-for-data-pipeline---boost-your-productivity-/5172740","distance":0.8261,"feature_description":"We have had common customer requests for years to summarize pipelines in an easy-to-understand explanation and with Copilot in Fabric, we are delivering on that feature. Copilot offers a clear and concise explanation of pipelines, making it highly beneficial for both maintaining and documenting them efficiently.","feature_description_html":"We have had common customer requests for years to summarize pipelines in an easy-to-understand explanation and with Copilot in Fabric, we are delivering on that feature. Copilot offers a clear and concise explanation of pipelines, making it highly beneficial for both maintaining and documenting them efficiently.
","feature_name":"Data Pipelines - AI-powered Explain Pipeline experience","last_modified":"2026-06-16","product_id":"a821f83f-dbd6-ee11-9079-000d3a310f67","product_name":"Data Factory","release_date":"Q3 2025","release_item_id":"bb46c2fe-5a21-f011-9989-000d3a5b0147","release_status":"Shipped","release_type":"General availability"},{"active":true,"blog_title":null,"blog_url":null,"distance":0.8265,"feature_description":"Data Agent automatically follows the foreign key relationships in your SQL source to query the right tables -- including ones you didn't explicitly select. When you scope an agent to a schema or just a couple of base tables, the agent expands along those foreign keys to bring in the other tables a question needs and generates SQL that joins them correctly, so you get accurate multi-table answers from a small starting selection. For relationships that aren't defined in the source or live only in how your business uses the data, creators and advanced users can define additional relationships through the SDK & Data Agent experience. These configurations are stored alongside the rest of the agent configuration in a consistent, source-controllable format -- so they flow through your CI/CD pipeline","feature_description_html":"Data Agent automatically follows the foreign key relationships in your SQL source to query the right tables -- including ones you didn't explicitly select. When you scope an agent to a schema or just a couple of base tables, the agent expands along those foreign keys to bring in the other tables a question needs and generates SQL that joins them correctly, so you get accurate multi-table answers from a small starting selection. For relationships that aren't defined in the source or live only in how your business uses the data, creators and advanced users can define additional relationships through the SDK & Data Agent experience. These configurations are stored alongside the rest of the agent configuration in a consistent, source-controllable format -- so they flow through your CI/CD pipeline
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