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This archive page is periodically updated with an archival of previous year's content from What's new in Microsoft Fabric?
To follow the latest in Fabric news and features, see the Microsoft Fabric Blog. Also follow the latest in Power BI at What's new in Power BI?
Generally available features
The following table lists the features of Microsoft Fabric that have transitioned from preview to general availability (GA).
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | Customer-managed keys for Fabric workspaces (Generally Available) | Customer-managed keys for Fabric workspaces let you encrypt data at rest in your Fabric workspaces using your own Azure Key Vault keys, giving you greater control over data security and compliance. For more information, see Customer-managed keys for Fabric workspaces. |
| November 2025 | Copy Job Activity in Data Factory Pipeline (Generally Available) | A Copy job activity in Data Factory pipelines (GA) lets you run existing or new Copy jobs as pipeline activities, chain them with notebooks or dataflows, and use email notifications, all with no‑code simplicity. For more information, see Copy job Activity in Data Factory pipelines and What is Copy job in Data Factory? |
| November 2025 | Large string and binary values in Fabric Data Warehouse and SQL analytics endpoint for mirrored items (Generally Available) | Support for VARCHAR(MAX) and VARBINARY(MAX) lets you ingest, store, and query large text and binary data (varchar(max) and varbinary(max)) without truncation in Fabric Data Warehouse and SQL analytics endpoints for mirrored items, with size limits varying by source. For more information, see Data types. |
| November 2025 | Fabric AI Functions (Generally Available) | Fabric AI Functions are now generally available with major enhancements. New features include: the ai.embed() function for text embeddings; new parameters for ai.analyze_sentiment, ai.extract (ExtractLabel schema for structured labels), ai.generate_response (response_format and JSON schema support), and ai.summarize (instructions parameter); advanced gpt-5 configuration options (reasoning_effort and verbosity); increased default concurrency to 200 for faster execution; and expanded model support including Azure OpenAI and Microsoft Foundry resources (for example, Claude, LLaMA). For more information, see Transform and enrich data with AI functions and the GA announcement. |
| November 2025 | Cosmos DB Mirroring (GA) | Both Cosmos DB in Microsoft Fabric and Cosmos DB Mirroring are now generally available in Microsoft Fabric. For more information, see Cosmos DB in Microsoft Fabric and Cosmos DB Mirroring (Generally Available). |
| November 2025 | SQL Server 2025 Mirroring (GA) | SQL Server 2025 is now generally available, along with SQL Server Mirroring. For more information, see Mirroring for SQL Server in Microsoft Fabric (Generally Available). |
| November 2025 | SQL Server mirroring to Fabric (GA) | You can continuously replicate your existing SQL Server databases directly into Fabric's OneLake. Inside Fabric, you can unlock powerful business intelligence, artificial intelligence, Data Engineering, Data Science, and data sharing scenarios. For more information, see Mirroring SQL server. |
| November 2025 | Eventstream Activator destination (Generally Available) | Fabric Eventstream supports the Activator destination for processing and transforming events with business requirements before routing the events to the destination. With Eventstream Activator destination, you can detect important patterns in your live data and trigger the right action automatically—no code required. |
| November 2025 | PostgreSQL flexible server mirroring to Fabric | Fabric Database Mirroring now supports replication of your Azure Database for PostgreSQL Flexible Server. You can continuously replicate data in near real-time from your Flexible Server instance to Fabric OneLake. For more information, see Mirroring Azure Database for PostgreSQL flexible server. |
| November 2025 | Copilot in Fabric SQL database (GA) | Copilot in Fabric in the SQL database workload? provides a natural‑language Copilot that helps generate, explain, and optimize SQL queries, surface relevant insights, and accelerate common database tasks. For more information, see Copilot and Query Editor in SQL database in Fabric (Generally Available). |
| November 2025 | Fabric SQL database (GA) | SQL database in Microsoft Fabric is a developer-friendly transactional database, based on Azure SQL Database, that allows you to easily create your operational database in Fabric. SQL database in Fabric uses the SQL Database Engine as Azure SQL Database. |
| November 2025 | Warehouse snapshots | Warehouse snapshots, now generally available, are a point-in-time, read-only representation of your data warehouse. You can create a snapshot of your warehouse at any point in the past 30 days, connect to it and query it just like a warehouse, and "roll forward" your snapshot regularly. To get started, see Create and manage a warehouse snapshot. |
| November 2025 | ArcGIS GeoAnalytics for Microsoft Fabric Spark (Generally Available) | ArcGIS GeoAnalytics for Microsoft Fabric Spark (Generally Available), now generally available, brings spatial analytics to Fabric Spark. For more information, see ArcGIS GeoAnalytics for Microsoft Fabric. |
| November 2025 | Cosmos DB in Microsoft Fabric | Cosmos DB in Microsoft Fabric is now generally available to all users. Since its announcement at Microsoft Build 2025, several new capabilities have been added, including vector indexing and search. For more information, see Announcing Cosmos DB in Microsoft Fabric. To get started, see Quickstart: Create a Cosmos DB database in Microsoft Fabric (preview). |
| October 2025 | Query and ingest JSONL files (Generally Available) | You can query and ingest JSONL files in a warehouse or a SQL analytics endpoint, now generally available. OPENROWSET(BULK) enables scalable reading and ingestion of JSONL files in Fabric Data Warehouse. |
| October 2025 | Outbound Access Protection for Warehouse, SQL analytics endpoint | Outbound Access Protection now applies to Fabric Data Warehouse (in Preview) and SQL analytics endpoint (GA) items, enforcing workspace-level rules for outbound connections. Outbound Access Protection strengthens governance, reduces risk, and ensures only trusted sources are used for data loads and queries. For more information, see Workspace outbound access protection. |
| October 2025 | OneLake diagnostics (Generally Available) | OneLake diagnostics provides end-to-end visibility into data activity across Fabric workspaces. OneLake diagnostics enable unified logging of data access and operations, supports compliance, and allows analysis using Spark, SQL, Eventhouse, or Power BI. For more information, see OneLake diagnostics. |
| October 2025 | Customer-managed keys for Fabric workspaces (Generally Available) | Customer-managed keys for Fabric workspaces (now generally available) enable workspace admins to encrypt data at rest by using their own keys from Azure Key Vault. For more information, see Customer-managed keys for Fabric workspaces. |
| October 2025 | Azure Synapse Runtime for Apache Spark 3.5 (Generally Available) | Azure Synapse Runtime for Apache Spark 3.5 is now generally available, for production workloads on Spark 3.5 and Delta Lake 3.2 in Azure Synapse. For more information, see Azure Synapse Runtime for Apache Spark 3.5 documentation.. |
| October 2025 | Workspace Outbound Access Protection for Spark (Generally Available) | Workspace Outbound Access Protection for Spark lets workspace admins restrict Spark outbound connections to only approved destinations via managed private endpoints to reduce data exfiltration risk. For more information, see Workspace outbound access protection. |
| October 2025 | Workspace-level Private Link (Generally Available) | Fabric workspace-level Private Link, now generally available, enables fine-grained network isolation by securing individual Fabric workspaces with private endpoints. For more information, see Private link for Fabric workspaces. |
| September 2025 | Govern tab (Generally Available) | The Governance experience within the OneLake catalog allows you to secure your data estate within Fabric. To get started, see Govern your Fabric data. |
| September 2025 | Purview Data Loss Protection and Prevention policies (Generally Available) | DLP policies for Fabric and Power BI are generally available. For more information, see Microsoft Purview Protection Policies for Fabric and Protection policies. |
| September 2025 | Fabric User Data Functions (Generally Available) | Fabric User Data Functions are now generally available. You can create functions that contain business logic and connect to Fabric data sources, and/or invoke them from other Fabric items such as Data pipelines, Notebooks and Power BI reports. For more information, see Fabric User data functions. |
| September 2025 | Python Notebooks (Generally Available) | Python notebooks are now generally available, multiple kernel support, new APIs, Pylance, and more. To get started, see Use Python experience on Notebook. For more information on Pylance, see Enhance Python development with Pylance. |
| September 2025 | Environment Public APIs (Generally Available) | Environment APIs allow admins to create, get, or update environments, import, export or remove external libraries, and upload or delete custom libraries. Some existing APIs have newly updated response contracts. For a full list of impacted APIs and migration guidance, see Manage the environment through public APIs. |
| September 2025 | Fabric Spark Monitoring APIs (Generally Available) | Fabric Spark Monitoring APIs are a robust set of tools designed to enhance observability and streamline the monitoring and management of Spark applications within Microsoft Fabric. For more information, see Fabric Spark Monitoring APIs (Generally Available). |
| September 2025 | Spark Run Series Analysis (Generally Available) | The Spark Monitoring Run Series Analysis features allow you to analyze the run duration trend and performance comparison for Pipeline Spark activity recurring run instances and repetitive Spark run activities, from the same Notebook or Spark Job Definition. For more information, see Monitor Apache Spark run series. |
| September 2025 | Data Wrangler (Generally Available) | In Data Wrangler's visual interface, you can see smart suggestions from Microsoft PROSE for operations that are relevant to your data frame. Describe your desired transformations in natural language, and Copilot generates code and an instant preview of the results. For big data workflows, Data Wrangler can translate all your pandas operations back to PySpark. |
| September 2025 | Dataflow Gen2 parameterization (Generally Available) | Parameterized Dataflow Gen2 using public parameters mode is now a generally available feature, and includes new parameters info from recent runs, improved error messaging, and expanded data type support. To get started, Use public parameters in Dataflow Gen2. |
| September 2025 | Incremental refresh destinations in Dataflow Gen2 (Generally Available) | Incremental refresh support for Lakehouse tables in Dataflow Gen2 is now generally available. |
| September 2025 | Mirroring for Azure SQL Managed Instance (Generally Available) | Mirroring for Azure SQL Managed Instance (now generally available) offers continuous data replication into OneLake. To get started, see Mirroring Azure SQL Managed Instance. |
| September 2025 | New generally available Dataflow Gen2 data destinations | Review Dataflow Gen2 data destinations and managed settings for data destinations now generally available, including SharePoint and Fabric Lakehouse Tables. |
| September 2025 | Copilot in Dataflow Gen2 (Generally Available) | Copilot can now help you interpret Mashup (Power Query M) code in natural language. For more information, see Copilot explainer skill in Dataflow Gen2. Copilot can also use natural language to create custom columns. For more information, see AI-powered development with Fabric Data Factory. |
| September 2025 | Invoke remote pipeline (Generally Available) | You can now use the Invoke Pipeline activity to call pipelines from Azure Data Factory or Synapse Analytics pipelines. This feature allows you to utilize your existing ADF or Synapse pipelines inside of a Fabric pipeline by calling it inline through this new Invoke Pipeline activity. |
| September 2025 | Azure Databricks jobs activity (Generally Available) | You can run and manage Azure Databricks jobs from Fabric Data Pipelines as part of end-to-end workflows in Fabric Data Pipelines. For more information, see Transform data by running an Azure Databricks activity. |
| September 2025 | Virtual Network Data Gateway supports Fabric pipeline and Copy job (Generally Available) | You can now use Pipeline and Copy job with the Virtual Network Data Gateway. For more information, see What is a virtual network data gateway? |
| September 2025 | Fabric VS Code extension (Generally Available) | The Microsoft Fabric for VS Code extension is now generally available and packed with features for programmatic management, git integration, multi-workspace support, and Fabric SQL database integration. For more information, see Microsoft Fabric extension for VS Code (Generally Available). |
| September 2025 | Variable library (Generally Available) | The Variable library allows users to define and manage variables at the workspace level, so they could soon be used across various workspace items, such as pipelines, notebooks, Shortcut for lakehouse and more. You can also Use variable libraries in pipelines. |
| September 2025 | Discover Dataflow Gen2 Parameters API (Preview) | The new Discover Dataflow Gen2 Parameters API lets you retrieve all parameters defined within a Dataflow Gen2 with CI/CD that has the public parameters mode enabled. To get started, see Items - Discover Dataflow parameters API. |
| September 2025 | Teams and Outlook activities in pipelines | The activities that allow you to send email or Teams messages from Fabric pipelines are now generally available. For more information, see the Outlook 356 activity and the Teams activity. |
| September 2025 | JSON Lines support in OPENROWSET | JSON Lines (JSONL) support in the OPENROWSET(BULK) function for Fabric Data Warehouse and SQL analytics endpoints is now generally available, allowing you to query external data in JSONL format. For more information, see Browse file content using OPENROWSET function. |
| September 2025 | Migration Assistant for Fabric Data Warehouse | The Migration Assistant, now generally available, simplifies the process of migrating from Azure Synapse Analytics to Fabric Data Warehouse. For more information, see Blog: Migration Assistant for Fabric Data Warehouse (Generally Available). To get started, see Migrate with the Fabric Migration Assistant for Data Warehouse. |
| August 2025 | SET SHOWPLAN_XML support | The SET SHOWPLAN_XML T-SQL syntax is now generally available for Fabric Data Warehouse and SQL analytics endpoint. Use this session-level statement and its visualizer counterpart in SQL Server Management Studio to get insight into query plan information. |
| July 2025 | Mirroring for Azure SQL Database with Data Gateway GA | Mirroring for Azure SQL Database with Virtual Network Data Gateway and on-premises Data Gateway (OPDG) is now generally available. |
| July 2025 | Autoscale Billing for Spark in Microsoft Fabric | Autoscale Billing for Apache Spark in Microsoft Fabric is now generally available. Autoscale is a serverless billing model designed to offer greater flexibility, transparency, and cost efficiency for running Spark workloads at scale. For more information, see Autoscale Billing for Spark in Microsoft Fabric and Understand the metrics app Autoscale compute for Spark page. |
| July 2025 | SQL analytics endpoint metadata sync with REST API | The ability to refresh SQL endpoint metadata via REST API is now generally available. For more information, see Refresh SQL analytics endpoint Metadata REST API GA. |
| July 2025 | DOP Feedback generally available | Degrees of Parallelism (DOP) feedback is now generally available in SQL database in Fabric. For more information, see Smarter Parallelism: Degree of parallelism feedback in SQL Server 2025. |
| July 2025 | Mirrored Azure Databricks | Mirrored Azure Databricks catalogs to Fabric are now generally available. A mirrored Unity Catalog in Fabric enables customer to read data managed by Unity Catalog from Fabric workloads. Storage accounts behind a firewall are also generally available. For more information, see Mirroring Azure Databricks Unity Catalog to Microsoft OneLake in Fabric (Generally Available). |
| June 2025 | Secure Data Streaming with Managed Private Endpoints in Fabric Eventstream GA | By creating a Fabric Managed Private Endpoint in Fabric Eventstream (now generally available), you can now securely connect Eventstream to your Azure services, such as Azure Event Hubs or IoT Hub, within a private network or behind a firewall. For more information, see Secure Data Streaming with Managed Private Endpoints in Fabric Eventstream (preview). |
| June 2025 | Notebook version history GA | Fabric notebook version history provides robust built-in version control capabilities, including automatic and manual checkpoints, tracked changes, version comparisons, and previous version restore. For more information, see Notebook version history. |
| June 2025 | T-SQL notebooks GA | The T-SQL notebook feature is now generally available. You can use T-SQL notebooks to write and run T-SQL code, manage complex queries, and write better markdown documentation. The new monitoring experience includes a new Recent run panel and a dedicated T-SQL panel to list the query history. To learn more, see T-SQL support in Microsoft Fabric notebooks. |
| June 2025 | Azure database for PostgreSQL connector 2.0 | The Azure database for PostgreSQL connector version 2.0 is now generally available. This new version is enhanced to support TLS 1.3, the upsert table action, as well as the script activity in data pipeline. |
| June 2025 | Incremental Copy GA, Lakehouse Upserts, and New Connectors | Incremental copy is now generally available, you can now choose to merge data directly into more destination stores, and more connectors with Copy job are now available. For more information, see Simplifying Data Ingestion with Copy job. |
| June 2025 | Capacity pools | Capacity administrators can now create custom pools based on their workload requirements, providing granular control over compute resources. Custom pools for Data Engineering and Data Science can be set as Spark Pool options within Workspace Spark Settings and environment items. |
| June 2025 | Boost performance effortlessly with Automated Table Statistics in Fabric Spark | Automated Table Statistics are now generally available, automatically optimizing query performance by maintaining up-to-date statistics in Fabric Spark. For more information, see Configure and manage Automated Table Statistics in Fabric Spark. |
| May 2025 | Azure Data Factory item in Microsoft Fabric | Azure Data Factory is now generally available in Microsoft Fabric allows you to seamlessly connect your existing Azure Data Factory (ADF) pipelines to Fabric workspaces, eliminating the need to manually rebuild or migrate them. CI/CD and REST APIs support is also for the Azure Data Factory items in Microsoft Fabric. |
| May 2025 | Fabric CLI | The Fabric CLI (fab) is a fast, file‑system‑inspired command‑line interface for Microsoft Fabric. Explore, automate, and script your Fabric environment—right from your terminal. Get started at https://aka.ms/FabCLI. |
| May 2025 | Eventhouse Query Acceleration for OneLake Shortcuts | Query Acceleration for OneLake Shortcuts in Eventhouse speeds up ad hoc queries over data in OneLake. OneLake shortcuts are references from an Eventhouse that point to internal Fabric or external sources. Previously, queries run over OneLake shortcuts were less performant than on data that is ingested directly to Eventhouses due to various factors. For more information, see Query acceleration for OneLake shortcuts - overview. |
| May 2025 | Task flows in Microsoft Fabric | With Task flows, now generally available, you no longer need to use a whiteboard to sketch out the different parts of the project and their interrelationships. Instead, you can use a task flow to build and bring this key information into the project itself. For more information, see Task flows in Microsoft Fabric (Generally Available). |
| May 2025 | Microsoft Fabric Spark Native Execution Engine now generally available | The Microsoft Fabric Spark Native Execution Engine is now generally available as part of Fabric Runtime 1.3 and provides improved performance and efficiency for Spark workloads in Microsoft Fabric. For more information, see Native execution engine for Fabric Spark. |
| May 2025 | Dataflow Gen2 CI/CD support | CI/CD and Git integration are now supported for Dataflow Gen2 as a generally available feature. For more information, see Dataflow Gen2 CI/CD support. |
| May 2025 | OneLake shortcut cache and on-premises gateway support now generally available | Shortcut cache and on-premises gateway support is now generally available. Use OneLake shortcut cache to quickly and easily source data from external cloud providers. The on-premises gateway allows you to securely connect to your data through multiple network restricted scenarios. For more information, see Create shortcuts to on-premises data. |
| May 2025 | Open mirroring | Open mirroring enables any application to write change data directly into a mirrored database in Fabric, based on the open mirroring public APIs and approach. Open mirroring, now generally available, is designed to be extensible, customizable, and open. It's a powerful feature that extends mirroring in Fabric based on open Delta Lake table format. To get started, see Tutorial: Configure Microsoft Fabric open mirrored databases. |
| May 2025 | JSON Aggregate support | Fabric warehouses now support JSON aggregate functions as generally available features. For more information, see JSON_ARRAYAGG and JSON_OBJECTAGG. |
| May 2025 | Semantic model refresh activity | Use the Semantic model refresh activity to refresh a Power BI Dataset, the most effective way to refresh your Fabric semantic models. For more information, see Semantic Model Refresh Activity (Generally Available). |
| April 2025 | Fabric Spark connector for Fabric Data Warehouse in Spark runtime | The Spark connector for Data Warehouse, now generally available, enables a Spark developer or a data scientist to access and work on data from a warehouse or SQL analytics endpoint of the lakehouse (either from within the same workspace or from across workspaces) with a simplified Spark API. |
| April 2025 | Session-scoped distributed #temp tables | Distributed session-scoped temporary tables in Fabric Data Warehouse and Fabric Lakehouse SQL analytics endpoints are now generally available. Now, #temp tables are supported as session scoped or local temp tables. For more information, see Tables in Fabric Data Warehouse. |
| April 2025 | BULK INSERT support | The T-SQL BULK INSERT statement in Fabric Data Warehouse is now generally available. For more information, see BULK INSERT statement is generally available. |
| April 2025 | Multi-tenant organization (MTO) | Support for multitenant organizations in Fabric is now generally available (GA). Microsoft Entra ID users of type external member are supported across the Fabric platform. |
| April 2025 | Tags | Tags help admins categorize and organize data, enhancing the searchability of your data and boosting success rates and efficiency for end users. Tags in Microsoft Fabric are now generally available. |
| April 2025 | OneLake SAS | Support for short-lived, user-delegated OneLake SAS is now generally available. This functionality allows applications to request a User Delegation Key backed by Microsoft Entra ID, and then use this key to construct a OneLake SAS token. This token can be handed off to provide delegated access to another tool, node, or user, ensuring secure and controlled access. |
| April 2025 | Data pipeline capabilities in Copilot for Data Factory | Data pipeline capabilities in Copilot for Data Factory are now generally available. These features function as an AI expert to help users build, troubleshoot, and maintain data pipelines. |
| April 2025 | CI/CD for Fabric Data Pipelines | Git Integration and integration with built-in Deployment Pipelines to Data Factory data pipelines is now generally available. For more information, see CI/CD for Data pipelines and REST API capabilities for Data pipelines. |
| April 2025 | Data Factory Apache Airflow jobs | Apache Airflow job in Data Factory, powered by Apache Airflow, are now generally available. An Apache Airflow Job in Microsoft Fabric offers seamless authoring, scheduling, and monitoring experience for Python-based data processes defined as Directed Acyclic Graphs (DAGs). For more information, see Quickstart: Create an Apache Airflow Job. |
| April 2025 | High concurrency mode for Notebooks in Pipelines | High concurrency mode for notebooks in pipelines, now generally available, enables users to share Spark sessions across multiple notebooks within a pipeline. With high concurrency mode, users can trigger pipeline jobs, and these jobs are automatically packed into existing high concurrency sessions. |
| April 2025 | OPENROWSET support | The T-SQL OPENROWSET(BULK) function is now generally available in Fabric warehouse. For more examples, see Browse file content using OPENROWSET function. For more information, see OPENROWSET function in Fabric Data Warehouse now generally available. |
| March 2025 | Terraform provider GA | The Terraform Provider for Microsoft Fabric is now generally available, enabling seamless infrastructure management and automation. For more information, use cases, and benefits, see Terraform Provider for Microsoft Fabric (Generally Available). |
| February 2025 | REST APIs for Fabric Data Factory pipelines | The Fabric data pipeline public REST API enables you to extend the built-in capability in Fabric to create, read, update, delete, and list pipelines. |
| February 2025 | Copy job | The Copy job in Data Factory has advantages over the Copy activity. For more information, see What is the Copy Job in Microsoft Fabric. For a tutorial, see Learn how to create a Copy job in Data Factory for Microsoft Fabric. |
| February 2025 | Nested Common Table Expressions (CTEs) (GA) | Fabric Data Warehouse and SQL analytics endpoint both support standard, sequential, and nested CTEs as generally available features now. For more information, see nested common table expressions (CTE) in Fabric data warehousing (Transact-SQL). |
| January 2025 | Real-time intelligence ALM and REST API GA | Application Lifecycle Management (ALM) and Fabric REST APIs are now generally available for all RTI items: Eventstream, Eventhouse, KQL Database, Realtime dashboard, Query set and Data Activator. ALM includes both deployment pipelines and Git integration. REST APIs allow you to programmatically create / read / update / delete items. |
| January 2025 | Warehouse restore points and restore in place | You can now create restore points and perform an in-place restore of a warehouse to a past point in time. Restore in-place is an essential part of data warehouse recovery, which allows to restore the data warehouse to a prior known reliable state by replacing or over-writing the existing data warehouse from which the restore point was created. |
Community
This section summarizes previous Microsoft Fabric community opportunities for prospective and current influencers and MVPs. To learn about the Microsoft MVP Award and to find MVPs, see mvp.microsoft.com.
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | Fabric Influencers Spotlight November 2025 | The Fabric Influencers Spotlight November 2025 highlights MVPs and Super Users creating standout Fabric content across Power BI, Data Engineering, Data Science, Governance, and Databases, with links to videos and blogs to learn from the community. |
| November 2025 | Announcing the winners of The Microsoft Fabric FabCon Global Hack | The Microsoft Fabric FabCon Global Hack winning projects showcase AI innovation with Fabric across categories like Real-Time Intelligence, Open Mirroring, and analytics. You see how teams build end-to-end solutions, with project repositories shared on GitHub for further exploration. |
| November 2025 | The Microsoft SQL Community Conference | SQLCon is co‑located with FabCon for deep SQL Server 2025, Azure SQL, and Fabric SQL database sessions, workshops, roadmap keynotes, and more. |
| November 2025 | Data & AI with Microsoft Fabric Data Days | Fabric Data Days offers 50+ days of immersive learning designed for data professionals at every level and students alike. Don't miss your chance to gain practical experience, earn free certifications exam voucher, and connect with a global community of experts. |
| October 2025 | Fabric Influencers Spotlight October 2025 | The Fabric Influencers Spotlight, a recurring monthly post here to shine a bright light on the places on the internet where Microsoft MVPs & Fabric Super Users are doing some amazing work on all aspects of Microsoft Fabric. |
| September 2025 | 50% discount on exams DP-600, DP-700, DP-900, and PL-300 | To celebrate FabCon Vienna, we're offering the entire Fabric community a 50% discount on exams DP-600, DP-700, DP-900, and PL-300. |
| September 2025 | Hack the Future of Data with Microsoft Fabric | Join the global movement to innovate with AI and Microsoft Fabric, kicking off September 15, 2025, at the Microsoft Fabric Community Conference in Vienna, and running virtually through November 3, 2025. Win up to $10,000 in prizes and get featured by Microsoft blogs and social media! |
| September 2025 | Fabric Influencers Spotlight September 2025 | The September 2025 Fabric Influencers Spotlight highlights and amplifies blog posts, videos, presentations, and other content related to Microsoft Fabric from members of Microsoft MVPs & Fabric Super Users from the Fabric community. |
| August 2025 | Fabric Influencers Spotlight August 2025 | The August 2025 Fabric Influencers Spotlight highlights and amplifies blog posts, videos, presentations, and other content related to Microsoft Fabric from members of Microsoft MVPs & Fabric Super Users from the Fabric community. |
| July 2025 | Fabric Influencers Spotlight July 2025 | Read about Microsoft MVPs & Fabric Super Users doing amazing work on all aspects of Microsoft Fabric. |
| July 2025 | Power BI Turns 10 | On July 24th, the Fabric Community gathered to celebrate Power BI's 10th birthday. If you missed it, there's still time to join in on the fun. Watch the Guy in a Cube birthday party, view the #PBI10 Dataviz Contest Winners, and request a 50% voucher for Fabric and Power BI certification exams until August 31, 2025. |
| June 2025 | Chart your course as a Microsoft Fabric Data Engineer with curated skilling and certifications | Fabric Data Engineers design and manage advanced data solutions, ensuring that businesses can use their data effectively. Learn more about becoming a Fabric Data Engineer, and Elevate your Microsoft Fabric data engineering skills: Prepare for DP-700 Exam. |
| May 2025 | Announcing the winners of Hack Together: The Microsoft Data & AI Kenya Hack | Announcing the winners of Hack Together: The Microsoft Data & AI Kenya Hack! Congratulations to all the creative, innovative, and inspiring projects built by the Data & AI community in Kenya! |
| May 2025 | Power Designer | Power Designer, now generally available at powerbi.tips/power-designer, is sleek, intuitive, and fun, making designing reports feel less like work and more like unleashing your inner artist. |
| February 2025 | Hack Together: The Microsoft Data + AI Kenya Hack | To join the Hack Together: The Microsoft Data + AI Kenya Hack from March 12th to April 11th, form a team of 3 members and register at https://aka.ms/data-ai-hack-kenya/register. |
Microsoft Fabric platform features
Archived news and feature announcements about the Microsoft Fabric platform experience.
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | Govern in OneLake Catalog for Fabric admins (Preview) | OneLake catalog governance for Fabric admins (Preview) provides admin insights, recommended actions, and reports in the Govern tab to improve governance across capacities, domains, and items. For more information, see OneLake catalog and Governance in OneLake catalog. |
| November 2025 | Geospatial Intelligence with Esri's ArcGIS Maps Workload (Preview) | Esri's ArcGIS Maps Workload (Preview) can visualize, analyze, and share geospatial insights with OneLake integration, Spark‑based processing, Power BI embedding, and smart mapping features. To get started, see Microsoft Fabric Workload Hub. |
| November 2025 | Default Semantic Models retirement | By November 30, 2025, all Power BI default semantic models are disconnected from their item and become independent semantic models. You can retain them if you still use them for reports or dashboards or delete them safely if they are no longer needed. For more information, see Blog: Decoupling Default Semantic Models for Existing Items in Microsoft Fabric.
|
| October 2025 | Outbound Access Protection | Outbound Access Protection now applies to Fabric Data Warehouse (in Preview), SQL analytics endpoint (GA) items, and Spark (GA), enforcing workspace-level rules for outbound connections. Outbound Access Protection strengthens governance, reduces risk, and ensures only trusted sources are used for data loads and queries. For more information, see Workspace outbound access protection. |
| October 2025 | Customer-managed keys for Fabric workspaces (Generally Available) | Customer-managed keys for Fabric workspaces (now generally available) enable workspace admins to encrypt data at rest by using their own keys from Azure Key Vault. For more information, see Customer-managed keys for Fabric workspaces. |
| October 2025 | OneLake security (Preview) | OneLake security, now a preview feature, is fine-grained access control for OneLake data, including folder, row, and column-level security. For more information, see OneLake shortcut security and OneLake data access security API. |
| October 2025 | Workspace-level Private Link (Generally Available) | Fabric workspace-level Private Link, now generally available, enables fine-grained network isolation by securing individual Fabric workspaces with private endpoints. For more information, see Private link for Fabric workspaces. |
| September 2025 | Fabric VS Code extension (Generally Available) | The Microsoft Fabric for VS Code extension is now generally available and packed with features for programmatic management, git integration, multi-workspace support, and Fabric SQL database integration. For more information, see Microsoft Fabric extension for VS Code (Generally Available). |
| September 2025 | Fabric CLI is now Open Source | Fabric CLI provides developers with a fast, scriptable, and intuitive way to navigate and operate Microsoft Fabric. Fabric CLI is now open source for the community. To get started, see the Fabric CLI repo. |
| September 2025 | Fabric MCP (Preview) | Fabric MCP is a developer-focused Model Context Protocol server that enables AI-assisted code generation and item authoring in Microsoft Fabric. Designed for agent-powered development and automation, it integrates with tools like VS Code and GitHub Codespaces as part of the Microsoft MCP initiative. For more information, see Introducing Fabric MCP (preview). |
| September 2025 | Fabric Extensibility Toolkit (Preview) | The Extensibility Toolkit builds on the foundation of the Workload Development Kit while introducing several key improvements and new capabilities. We also created a new Fabric Community Repository. This repository contains a wide variety of item types built with the Extensibility toolkit you can add to your tenant. For more information, see Introducing the Microsoft Fabric Extensibility Toolkit. |
| September 2025 | Workspace-level workload assignment (Preview) | Workspace admins can now add additional workloads directly to their workspaces, eliminating the need for tenant or capacity-level setup. In the Workloads Hub, admins can add workloads directly to a workspace. |
| September 2025 | Govern tab (Generally Available) | The Governance experience within the OneLake catalog allows you to secure your data estate within Fabric. To get started, see Govern your Fabric data. |
| September 2025 | Purview Data Loss Protection and Prevention policies (Generally Available) | DLP policies for Fabric and Power BI are generally available. For more information, see Microsoft Purview Protection Policies for Fabric and Protection policies. |
| August 2025 | Meet Your Healthcare Regulation and Compliance Requirements with Purview Data Loss Prevention (DLP) Policies | Purview DLP policies for Fabric help healthcare organizations protect PHI and meet regulatory requirements through automated sensitive data discovery, real-time policy tips, and audit trails. For more information, see Get started with Data loss prevention policies for Fabric and Power BI. |
| August 2025 | Item History in Fabric Capacity Metrics App (Preview) | The Item History page in the Fabric Capacity Metrics App (Preview) provides a 30-day view of compute capacity consumption with interactive visuals and slicers for workspace and item-level analysis. For more information, see Understand the metrics app item history page (preview). |
| August 2025 | Fabric workspace-level Private Link (Preview) | Fabric workspace-level Private Link (Preview) enables fine-grained network isolation by securing individual Fabric workspaces with private endpoints. For more information, see Private link for Fabric workspaces (preview). |
| August 2025 | Customer-managed keys for Fabric workspaces (Preview) | Customer-managed keys (CMK) for Microsoft Fabric workspaces are now available in preview in all public regions, enabling customers to meet compliance requirements and protect data with their own keys. For more information, see Customer-managed keys for Fabric workspaces. |
| August 2025 | Support for Transport Layer Security (TLS) 1.1 and earlier versions has ended | Support for TLS 1.1 and earlier versions on the Fabric platform has ended. On July 31, 2025, all outbound connections from Fabric to customer data sources must use TLS 1.2 or later versions. |
| July 2025 | Autoscale Billing for Spark in Microsoft Fabric | Autoscale Billing for Apache Spark in Microsoft Fabric is now generally available. Autoscale is a serverless billing model designed to offer greater flexibility, transparency, and cost efficiency for running Spark workloads at scale. For more information, see Autoscale Billing for Spark in Microsoft Fabric and Understand the metrics app Autoscale compute for Spark page. |
| July 2025 | Build workloads with Language Choice and Simplicity | Language Choice in the Workload Development Kit (WDK) allows developers to build workloads using Python, Java, Node.js, or Go. For more information, see Back-end set up for Workload Development Kit. |
| July 2025 | Terraform Provider for Microsoft Fabric tutorial | This four-part blog series helps you Get started with the Terraform Provider for Microsoft Fabric, including practical guidance for automating Microsoft Fabric administration using the Fabric CLI and Terraform Provider. |
| July 2025 | Workspace access limits | Workspace access limits are rolling out in August 2025. Each Fabric and Power BI workspace will be limited to a maximum of 1,000 users or groups in workspace roles (Admin, Member, Contributor, Viewer). |
| July 2025 | Fabric workspace identity: Removing default Contributor access for workspace identity | Starting on July 27, 2025, new and existing workspace identities no longer have Contributor access by default, enhancing security and access control in Fabric workspaces. For more information, see Workspace identity in Microsoft Fabric |
| June 2025 | Best Practices for Success with Purview Data Loss Prevention (DLP) Policies | Learn more about proven best practices to maximize your security, compliance, and productivity with Purview Data Loss Prevention (DLP) policies. |
| June 2025 | New features for Microsoft Fabric Extension in VS Code | Now in the Fabric extension for VS Code, you can create items and switch tenants to manage your workspaces and items. For more information, see Announcing new features for Microsoft Fabric Extension in VS Code. |
| June 2025 | Surge Protection for Background Operation | Surge Protection for background operations is now generally available (GA). Using surge protection, capacity admins can limit overuse by background operations in their capacities. |
| June 2025 | New item creation experience in Fabric | The enhanced item creation experience in Fabric is all about consistency, efficiency, and control. Now, no matter what type of item you're adding, the process feels familiar and smooth every time. For more information, see Introducing new item creation experience in Fabric. |
| May 2025 | Fabric CLI (GA) | The Fabric CLI is now generally available—fully supported for production use, backed by Microsoft's SLA, and built to meet the security, compliance, and reliability standards our customers expect. From CI/CD pipelines to deployment automation and governance scenarios, the CLI is ready for real-world environments, and you can confidently adopt it in production! Get started at https://aka.ms/FabCLI. |
| May 2025 | Encrypt data at rest using customer-managed keys (preview) | By default, Fabric encrypts all data at rest using Microsoft-managed keys. You can now encrypt data at rest in your Fabric workspaces using customer-managed keys, as a preview feature, giving you greater control over data security and compliance. For more information, see Customer-managed keys for Fabric workspaces. |
| May 2025 | Connect to your most sensitive data with end-to-end network security in Fabric | Azure Private Link support for workspaces, outbound access protection for Spark, and Fabric encryption with customer managed keys have been announced in preview to enable secure access to sensitive data in Microsoft Fabric using comprehensive network security features. |
| May 2025 | Fabric Copilot capacity for F2 and higher | Fabric Copilot capacity can now be created in F2 capacity or higher. Fabric Copilot capacity allows capacity admins to grant direct Copilot access, and to manage Copilot costs by assigning Copilot costs in other capacities to Fabric Copilot. |
| May 2025 | Enabling broader adoption of XMLA-based tools and scenarios | Enabling broader adoption of XMLA-based tools and scenarios introduces new capabilities that make it easier to use XMLA-based tools and scenarios with Microsoft Fabric. For more information, see Semantic model connectivity. |
| April 2025 | Item limits in a Fabric workspace | As of April 10, 2025, Microsoft Fabric has implemented updates to the total number of items permissible in a workspace. This change introduces a combined limit of 1,000 Fabric items (including Power BI items) per workspace. |
| April 2025 | Microsoft Fabric SKU estimator (preview) | The Microsoft Fabric SKU estimator, now available in preview, is an enhanced version of the previously introduced Microsoft Fabric Capacity Calculator. For more information, see Introducing the Microsoft Fabric SKU estimator (preview) and Mastering SKU Estimations with the Microsoft Fabric SKU Estimator. |
| April 2025 | Microsoft Fabric Extensions | Read for a summary of extensions for Visual Studio Code (VS Code) that help you manage Fabric artifacts and build analytical applications, including extensions, user data functions, and an upcoming feature roadmap. |
| April 2025 | Content Sharing Report (preview) | The new Content Sharing report provides a comprehensive view of item access within the Fabric tenant. For more information, see Blog: Content Sharing Report (preview). |
| April 2025 | Variable libraries (preview) | The Variable library is a new Fabric item that functions as a bucket of variables that can be consumed by other items in the workspace, and is integrated with notebooks. For more information, see Variable library (preview) and Notebook integration with variable libraries. |
| April 2025 | Multi-tenant organization (MTO) | Support for multitenant organizations in Fabric is now generally available (GA). Microsoft Entra ID users of type external member are supported across the Fabric platform. |
| April 2025 | Tags | Tags help admins categorize and organize data, enhancing the searchability of your data and boosting success rates and efficiency for end users. Tags in Microsoft Fabric are now generally available. |
| April 2025 | Folder REST API (preview) | You can now create and manage workspace folders in automation scenarios and integrate with other systems and tools. The Folder Rest API is now in preview. To get started, see Fabric REST API Folders. |
| April 2025 | Workload Development Kit OneLake support | In the Workload Development Kit, all items now support storing data in OneLake. For more information, see Microsoft Fabric Workload Development Kit. |
| April 2025 | Fabric CLI (preview) | The Fabric CLI (fab) is a fast, file‑system‑inspired command‑line interface for Microsoft Fabric. Explore, automate, and script your Fabric environment—right from your terminal. Get started at https://aka.ms/FabCLI. |
| March 2025 | Terraform provider GA | The Terraform Provider for Microsoft Fabric is now generally available, enabling seamless infrastructure management and automation. For more information, use cases, and benefits, see Terraform Provider for Microsoft Fabric (Generally Available). |
| March 2025 | Load Fabric OneLake Data in Excel | Easily load Fabric OneLake data into Excel with integrated OneLake catalog and modern Get Data experience (preview). For more information and steps to get started, see OneLake catalog and Get Data are integrated into Excel for Windows. |
| March 2025 | Empowering agentic AI | Integrating Fabric with Microsoft Foundry enables businesses to create custom conversational AI agents leveraging domain expertise. For more information, see Empowering Agentic AI by Integrating Fabric with Microsoft Foundry. |
| March 2025 | External data sharing enhancements | External data sharing enables Fabric users to seamlessly share data across tenant boundaries while maintaining a single logical copy. Learn about service principal support for the external data sharing API and upcoming improvements. |
| February 2025 | Capacities Management APIs | Learn more about a new set of ARM APIs for comprehensive management of Fabric capacities. |
| February 2025 | Cross-region deployments | Fabric Deployment pipelines APIs now include a new feature for managing cross-region deployments. |
| February 2025 | Admin API updates and upcoming definition changes | SPN/MI support for Admin APIs and new GET/POST Admin APIs have been announced, among other changes and performance updates to Fabric Admin APIs. |
| February 2025 | TLS deprecation for Fabric | Fabric Platform support for Transport Layer Security (TLS) 1.1 and earlier versions will end on July 31, 2025. For more information, see Deprecating TLS 1.0 and 1.1 in Power BI. |
| February 2025 | Microsoft Fabric Quotas | Microsoft Fabric Quotas are a new feature designed to control resource governance for the acquisition of your Microsoft Fabric capacities. Fabric quotas aimed at helping customers ensure that Fabric resources are used efficiently and help manage the overall performance and reliability of the Azure platform while preventing misuse. |
| February 2025 | Fabric Catalyst Portal | The Fabric Catalyst Portal is collaborative knowledge hub designed to empower our partners with best practices, technical guidance, and real-world insights to accelerate Microsoft Fabric adoption. Registration for Microsoft partners is open. The first guidance is focused on Real-Time Intelligence. |
| February 2025 | How can I decide which protection method to use to protect my sensitive data in Fabric? | Learn more about when to use Purview DLP restrict access vs. Purview Protection Policies? Learn more about different protection options in Fabric. |
| February 2025 | Understanding GraphQL API error handling | Learn more about error handling in GraphQL and some best practices for managing errors effectively. |
| February 2025 | Billing for Workspace monitoring | Workspace Monitoring (preview) is an observability feature within Fabric that enables monitoring capabilities. For more information, see Announcing preview of workspace monitoring. Billing for this feature starts March 10, 2025. |
| January 2025 | Building Apps with Microsoft Fabric API for GraphQL | Microsoft Fabric has an API for GraphQL to build your data applications, enabling you to pull data from sources such as Data Warehouses, Lakehouse, Mirrored Databases, and DataMart in Microsoft Fabric. |
| January 2025 | Power BI Embedded with Direct Lake Mode (Preview) | Power BI Embedded with Direct Lake Mode is designed to enhance how developers and Independent Software Vendors (ISVs) provide embedded analytics in their applications. For more information, see Introducing Power BI Embedded with Direct Lake Mode (Preview). |
| January 2025 | Fabric Copilot capacity: Democratizing AI usage in Microsoft Fabric | Fabric Copilot capacity us a new billing feature designed to enhance your experience with Microsoft Fabric. With Fabric Copilot capacities, capacity admins can give Copilot access to end users directly, rather than requiring creators to move their content into a specific workspace or link a specific capacity. |
| January 2025 | Efficient log management with Microsoft Fabric | For a tutorial and walkthrough of efficient log files collection processing and analysis with Real-Time Intelligence, read this new blog post on Efficient log management with Microsoft Fabric. |
| January 2025 | Surge protection (preview) | With surge protection (preview), capacity admins can set limits on background usage within a capacity. Learn more about surge protection to help protect capacities from excess usage by background workloads. |
Microsoft Copilot in Microsoft Fabric
This section summarizes archived announcements about Copilot in Fabric.
| Month | Feature | Learn more |
|---|---|---|
| July 2025 | Fabric Data Agents + Microsoft Copilot Studio (Preview) | The preview of the integration between Fabric data agents and Microsoft Copilot Studio is now available. For more information, see multi-agent orchestration in Microsoft Copilot Studio. |
| June 2025 | Notebook Copilot inline code completion (preview) | Now in preview, Copilot Inline Code Completion (Preview) is an AI feature that assists data scientists and engineers in writing Python code more quickly and easily. For more information, see Notebook Copilot code completion (Preview). |
| May 2025 | Evaluate your Fabric data agents with the Python SDK (preview) | You can now use the Python SDK to programmatically evaluate Fabric data agents. For more information, see Consume a Fabric Data Agent in Microsoft Copilot Studio (preview). |
| April 2025 | Fabric data agent integration with Azure AI Agent Service (preview) | We're excited to launch the integration of data agents in Fabric with Azure AI Agent Service from Microsoft Foundry. To get started, see Consume a Fabric Data Agent in Microsoft Copilot Studio (preview). The Fabric data agent SDK is also available in preview. |
| March 2025 | Copilot and AI capabilities for all paid SKUs | Copilot and AI capabilities are now accessible to all paid SKUs in Microsoft Fabric. For more information, see Copilot and AI Capabilities Now Accessible to All Paid SKUs in Microsoft Fabric and Fabric Copilot capacity. |
| February 2025 | Enhanced conversation with Microsoft Fabric Copilot (Preview) | We're introducing improvements to AI functionalities in Microsoft Fabric, including a new way to store chat prompts and history, improved accuracy of responses, and better context knowledge retention. |
Data Factory in Microsoft Fabric
This section summarizes archived new features and capabilities of Data Factory in Microsoft Fabric. Follow issues and feedback through the Data Factory Community Forum.
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | On-premises data gateway November 2025 release | The On-premises data gateway November 2025 release updates the gateway to version 3000.294 to align with the November 2025 Power BI Desktop release so your refreshed datasets use the same runtime and connector behavior. |
| November 2025 | Copy Job Activity in Data Factory Pipeline (Generally Available) | A Copy job activity in Data Factory pipelines (GA) lets you run existing or new Copy jobs as pipeline activities, chain them with notebooks or dataflows, and use email notifications, all with no‑code simplicity. For more information, see Copy job Activity in Data Factory pipelines and What is Copy job in Data Factory? |
| November 2025 | dbt Job in Fabric Data Factory (Preview) | A dbt Job in Fabric Data Factory lets you author, schedule, and monitor dbt projects natively with serverless execution, integrated testing and documentation, and governance via Entra ID and SQL security policies. For more information, see dbt job in Microsoft Fabric (preview). |
| November 2025 | Apache Airflow Job File Management APIs | Apache Airflow Job File Management APIs let you programmatically upload, update, list, retrieve, and delete Airflow job (DAG) files with secure, role‑based operations for automated workflows. For more information, see API capabilities for Apache Airflow Job. |
| November 2025 | Expanded CDC Support for More Sources & Destinations – Simplifying Data Ingestion with Copy job | Data Factory Copy job expands CDC to SAP via Datasphere, Snowflake, and BigQuery, adds Lakehouse as a CDC destination, and improves monitoring with watermark and row‑count stats. For more information, see Microsoft Fabric Copy Job. |
| November 2025 | Data Factory Features Announced at Ignite | New Data Factory Features Announced at Ignite include Copilot expression builder for pipeline expressions, hierarchical view, and a file uploader for your Fabric Apache Airflow job project. For more information, see pipeline runs. |
| November 2025 | Copy Job Truncate Destination, Queries and Multiple Folders | Copy Job now supports truncate before full load, query‑based full and incremental copies, and folder copy in a single job. For more information, see Microsoft Fabric Copy Job. |
| October 2025 | On-premises data gateway October 2025 release | On-premises data gateway October 2025 release updates the gateway to version 3000.290, adds Power BI Desktop compatibility, and fixes proxy configuration issues. |
| October 2025 | Simplifying Data Ingestion with Copy job – More File Formats with Enhancements | Simplifying Data Ingestion with Copy job – More File Formats with Enhancements adds support for ORC, Excel, Avro, XML, and enhanced CSV options to Copy job in Data Factory. For more information, see Microsoft Fabric Copy job. |
| October 2025 | Mission-Critical Data Integration: What's New in Fabric Data Factory | The blog post: Mission-Critical Data Integration: What's New in Fabric Data Factory highlights new enterprise Data Factory capabilities including workspace identity authentication, Private Link, Azure Key Vault integration, virtual network gateway support and lifecycle controls, Connections and Gateways API, and PowerShell automation for gateways. |
| October 2025 | Latest Fabric Data Factory Connector Innovations | We've introduced new and enhanced connectors for Fabric Data Factory, enabling secure, scalable, and flexible data integration across cloud and on-premises sources. For more information, see Latest Fabric Data Factory Connector Innovations. |
| September 2025 | Copy Job – Connection Parameterization, Expanded CDC and Connectors | Copy Job new features include connection parameterization, expanded change data capture, new connectors, and a streamlined Copy Assistant for flexible, automated data movement. For more information, see CI/CD for Copy Job in Data Factory, Change data capture (CDC) in Copy Job, and What is Copy job in Data Factory for Microsoft Fabric?. |
| September 2025 | On-premises data gateway September 2025 release | The September 2025 release of the on-premises data gateway (version 3000.286) adds support for Mirroring Google BigQuery projects into Fabric using the on-premises data gateway, and Power BI Desktop compatibility. |
| September 2025 | Copy Job and Virtual Network Data Gateway | Copy Job now works natively with Virtual Network Data Gateway, enabling secure, high-performance data movement between private networks and Fabric. For more information, see Copy Job and Virtual Network Data Gateway and Copy Job and Virtual Network Data Gateway. |
| September 2025 | Dataflow Gen2 parameterization (Generally Available) | Parameterized Dataflow Gen2 using public parameters mode is now a generally available feature, and includes new parameters info from recent runs, improved error messaging, and expanded data type support. To get started, Use public parameters in Dataflow Gen2. |
| September 2025 | Incremental refresh destinations in Dataflow Gen2 (Generally Available) | Incremental refresh support for Lakehouse tables in Dataflow Gen2 is now generally available. |
| September 2025 | New generally available Dataflow Gen2 data destinations | Review Dataflow Gen2 data destinations and managed settings for data destinations now generally available, including SharePoint and Fabric Lakehouse Tables. |
| September 2025 | Copilot in Dataflow Gen2 (Generally Available) | Copilot can now help you interpret Mashup (Power Query M) code in natural language. For more information, see Copilot explainer skill in Dataflow Gen2. Copilot can also use natural language to create custom columns. For more information, see AI-powered development with Fabric Data Factory. |
| September 2025 | Invoke remote pipeline (Generally Available) | You can now use the Invoke Pipeline activity to call pipelines from Azure Data Factory or Synapse Analytics pipelines. This feature allows you to utilize your existing ADF or Synapse pipelines inside of a Fabric pipeline by calling it inline through this new Invoke Pipeline activity. |
| September 2025 | Variable library integration with DataFlow Gen2, Copy job, and pipelines | The Variable library can now be used in Dataflow Gen2 (preview), Copy job (Preview), pipelines, and more. For more information, see Use variable libraries in pipelines or Use Fabric variable libraries in Dataflow Gen 2 (preview) CI/CD. |
| September 2025 | Virtual Network Data Gateway supports Fabric pipeline and Copy job (Generally Available) | You can now use Pipeline and Copy job with the Virtual Network (VNET) Data Gateway. For more information, see What is a virtual network data gateway? |
| September 2025 | Data replication from Lakehouse with Delta Change Feed (preview) | The Fabric Lakehouse Table connector provides changed data from a Fabric Lakehouse via Delta Change Data Feed (CDF), to supported destinations. For more information, see Data Replication from Fabric Lakehouse with Delta Change Data Feed (Preview). |
| September 2025 | Evaluate pipeline expressions | The Evaluate Expression feature allows you to test and debug your pipeline expressions. Check expression outputs, review individual components, and validate your logic without running the entire pipeline. For more information, see evaluate pipeline expressions. |
| September 2025 | Fabric variable libraries in Dataflow Gen2 with CI/CD (preview) | Fabric variable libraries offer a centralized way to manage configuration values across Microsoft Fabric workloads. With the new integration in Dataflow Gen2, you can reference these variables directly in your dataflow, enabling dynamic behavior across environments and simplifying CI/CD workflows. For more information, see variable libraries in Dataflow Gen2. |
| September 2025 | New connectors available in Data Factory | New connectors are now generally available, including Amazon RDS for Oracle, Cassandra, Greenplum, HDFS, Informix, Microsoft Access database, and Presto. |
| September 2025 | Upsert to delta table with Lakehouse connector (Preview) | We added upsert support to the Lakehouse connector, allowing direct writes to Delta tables, in both Copy job and Copy activity within Pipeline. For more information, see Configure Lakehouse in a copy activity. |
| September 2025 | Preview-only steps for Dataflow Gen2 (preview) | Preview only steps are transformation steps in Dataflow Gen2 that are executed only during the authoring phase for the data preview. They're excluded from run operations, ensuring they don't affect runtime behavior or production logic. For more information, see preview-only step in Dataflow Gen2. |
| September 2025 | Partitioned compute for Dataflow Gen2 (preview) | Partitioned compute is a capability of the Dataflow Gen2 engine that allows parts of your dataflow logic to run in parallel, reducing the time to complete its evaluations. For more information, see partitioned compute in Dataflow Gen2. |
| September 2025 | Modern evaluator for Dataflow Gen2 (preview) | The Modern Query Evaluation Engine (also known as the "Modern Evaluator") provides a new query execution engine running on .NET core version 8, which can significantly improve the performance of dataflow runs in some scenarios. For more information, see the Modern evaluator for Dataflow Gen2. |
| September 2025 | REST API for Apache Airflow Jobs | Fabric Data Factory offers a powerful set of APIs that make it easy to automate and manage your Apache Airflow Jobs. You can connect to different data sources and services, and build, update, or monitor your workflows with just a few lines of code. For more information, see API capabilities for Fabric Data Factory's Apache Airflow Job. |
| August 2025 | Copy job Activity in pipelines (Preview) | A Copy job Activity in pipelines (Preview) lets you orchestrate an existing or new Copy job directly inside a Data Factory pipeline, combining data movement with other activities and integrated monitoring. For more information, see Copy job activity in Data Factory pipelines. |
| August 2025 | On-premises data gateway August 2025 release | The On-premises data gateway now supports Microsoft Entra ID authentication for PostgreSQL and Lakehouse connector enhancements (delta column mapping, deletion vectors, change data feed) plus stability fixes. |
| August 2025 | Copy job support for Multiple Scheduler (preview) | Copy job Multiple Scheduler support allows a single Copy job to be triggered at different intervals. In the past, this capability required creating multiple Copy jobs for each schedule. For more information, see Job scheduler in Microsoft Fabric. |
| August 2025 | New Copy job features: Reset Incremental Copy, Auto Table Creation, and JSON Support | Copy Job in Microsoft Fabric Data Factory now supports resetting incremental copy, automatic table creation on destination, and JSON file format, making data movement more flexible and efficient. For more information, see Copy job in Data Factory. |
| August 2025 | Support for workspace identity authentication in new Fabric connectors and Dataflow Gen2 | Workspace identity authentication is now available in new Fabric connectors and Dataflow Gen2, enabling secure, credential-free access to data sources using managed identities. For more information, see Authenticate with workspace identity. |
| July 2025 | Copy Data from Database View, Sample dataset and New Connectors | Recent improvements are Simplifying Data Ingestion with Copy job, including enhancements to Copy job in Data Factory, support for copying data from database views, sample datasets, and new connectors. |
| July 2025 | New SAP connectivity features | New SAP connectivity features include new built-in SAP connectors for SAP Table and SAP BW OpenHub via an on-premises data gateway. |
| June 2025 | On-premises data gateway June 2025 release | New features of on-premises data gateway (version 3000.274) include the Azure database for PostgreSQL connector version 2.0, enhanced data type support in the Fabric Data Warehouse connector, and a new Upsert table action in the Lakehouse Connector (preview). |
| June 2025 | Incremental Copy GA, Lakehouse Upserts, and New Connectors | Incremental copy is now generally available, you can now choose to merge data directly into more destination stores, and more connectors with Copy job are now available. For more information, see Simplifying Data Ingestion with Copy job. |
| May 2025 | New pipeline activities support for on-premises data gateway and vNet data gateway | Fabric Data Factory pipelines now support the on-premises data gateway and Virtual Network Gateway for activity types Web, Webhook, Azure Functions, and User Data Functions. |
| May 2025 | Azure Data Factory item in Microsoft Fabric | Azure Data Factory is now generally available in Microsoft Fabric allows you to seamlessly connect your existing Azure Data Factory (ADF) pipelines to Fabric workspaces, eliminating the need to manually rebuild or migrate them. |
| May 2025 | On-premises data gateway May 2025 release | The on-premises data gateway (version 3000.270) now supports the Fabric Pipeline Copy Activity, an additional endpoint for on-premises data gateway communication, and connections to the Vertica database with the user-installed ODBC driver. |
| May 2025 | Dataflow Gen2 Public APIs (preview) | Data Factory APIs enable users to automate and manage dataflows, including creation, management, scheduling, and monitoring. For more information, see Dataflow APIs. |
| May 2025 | Dataflow Gen2 parameterization (preview) | Data Factory parameterization makes workflows more efficient and adaptable to varying inputs and scenarios. For more information, see Use public parameters in Dataflow Gen2 (preview). |
| May 2025 | Lakehouse as an incremental refresh destination in Dataflow Gen2 (preview) | For scenarios when you need to refresh only new or updated data, you can now enable incremental data refresh from a Lakehouse in Dataflow Gen2 for Microsoft Fabric Data Factory. For more information, see Incremental refresh in Dataflow Gen2. |
| May 2025 | SharePoint files as a destination in Dataflow Gen2 (preview) | You can now configure dataflow queries to output data into specific folders within SharePoint. For more information, see Dataflow Gen2 data destinations and managed settings. |
| May 2025 | Copy job support for change data capture (CDC) (preview) | Change Data Capture (CDC) in Copy Job is a powerful capability in Data Factory Data pipelines that enables efficient and automated replication of changed data including inserted, updated, and deleted records from a source to a destination. |
| May 2025 | Dataflow Gen2 CI/CD support | CI/CD and Git integration are now supported for Dataflow Gen2 as a generally available feature. For more information, see Dataflow Gen2 CI/CD support. |
| May 2025 | Orchestrate your Databricks jobs with Fabric Data Pipelines | You can run and manage Azure Databricks jobs from Fabric Data Pipelines as part of end-to-end workflows in Fabric Data Pipelines. For more information, see Transform data by running an Azure Databricks activity. |
| April 2025 | Passing parameter values to refresh a Dataflow Gen2 (preview) | Learn more about public parameters for Dataflow Gen2 with CI/CD support, as well as the support for this new mode within the Dataflow refresh activity in Data Pipelines. |
| April 2025 | On-premises data gateway April 2025 release | The on-premises data gateway (version 3000.266) now supports the time data type, Teradata support in Fabric Pipeline Copy Activity, and Power BI Desktop Compatibility. |
| April 2025 | Recap of Data Factory Announcements at Fabric Conference US 2025 | Read more for a recap of Data Factory in Fabric announcements. |
| April 2025 | Data pipeline capabilities in Copilot for Data Factory | Data pipeline capabilities in Copilot for Data Factory are now generally available. These features function as an AI expert to help users build, troubleshoot, and maintain data pipelines. |
| April 2025 | Copy job | The Copy job item in Data Factory is now generally available. Copy Job has advantages over the Copy activity. To get started, see Learn how to create a Copy job (preview) in Data Factory for Microsoft Fabric. |
| April 2025 | CI/CD for Fabric Data Pipelines | Git Integration and integration with built-in Deployment Pipelines to Data Factory data pipelines is now generally available. For more information, see CI/CD for Data pipelines and REST API capabilities for Data pipelines. |
| April 2025 | Incremental refresh for Dataflow Gen2 (GA) | Incremental refresh in Dataflow Gen2 is designed to optimize data ingestion and transformation, particularly as your data continues to expand. For more information, see Incremental Refresh for Dataflow Gen2 is now generally available. |
| April 2025 | Latest innovations in Data Factory in Fabric | Read for more information on Lakehouse connector deletion vector, Salesforce and Snowflake connectors, and new certified connectors. |
| April 2025 | Virtual network Data Gateway support | Virtual Network Data Gateway support for Fabric Pipeline Copy, Fast Copy in Dataflow Gen2, and Copy Job is now in preview. For more information, see What is a virtual network data gateway? |
| April 2025 | Data Factory Apache Airflow jobs | Apache Airflow job in Data Factory, powered by Apache Airflow, are now generally available. An Apache Airflow Job in Microsoft Fabric offers seamless authoring, scheduling, and monitoring experience for Python-based data processes defined as Directed Acyclic Graphs (DAGs). For more information, see Quickstart: Create an Apache Airflow Job. |
| April 2025 | High concurrency mode for Notebooks in Pipelines | High concurrency mode for notebooks in pipelines, now generally available, enables users to share Spark sessions across multiple notebooks within a pipeline. With high concurrency mode, users can trigger pipeline jobs, and these jobs are automatically packed into existing high concurrency sessions. |
| March 2025 | Fabric Data Factory and Roadmap | Discover the latest updates and future plans for Fabric Data Factory, including new features for data integration and orchestration. For more information, see What's New with Fabric Data Factory and Roadmap. |
| March 2025 | REST APIs for Fabric Data Factory pipelines | The Fabric data pipeline public REST API enables you to extend the built-in capability in Fabric to create, read, update, delete, and list pipelines. |
| March 2025 | Copy job (preview) | The Copy job in Data Factory has advantages over the Copy activity. For more information, see What is the Copy Job in Microsoft Fabric. For a tutorial, see Learn how to create a Copy job in Data Factory for Microsoft Fabric. |
| March 2025 | Copy Job enhancements | Learn more about three new user experience improvements in the Data Factory Copy Job. |
| January 2025 | Dataflow Gen2 CI/CD support (preview) | CI/CD and Git integration are now supported for Dataflow Gen2, as a preview feature. For more information, see Dataflow Gen2 CI/CD support. |
Data Factory in Microsoft Fabric samples and guidance
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | AI-powered troubleshooting for Fabric pipeline error messages | Copilot Insights for errors in a Pipeline Run explain pipeline errors, surfaces root causes, and recommends fixes so you resolve failures faster without deciphering complex messages. |
| November 2025 | Natural Language to Generate and Explain Pipeline Expressions with Copilot (Preview) | Copilot in Pipeline Expression Builder (Preview) lets you describe intent to generate expressions and ask for plain‑language explanations, reducing syntax errors and speeding pipeline development. |
| October 2025 | Simplifying data ingestion with Copy Job: Copy data across tenants using Copy Job in Fabric Data Factory | Learn how to simplifying data ingestion with Copy Job, using the ability to copy data between different Microsoft Fabric tenants using Copy Job in Data Factory. |
| October 2025 | Copy data across tenants using Copy job in Fabric Data Factory | Copy job now supports cross-tenant data movement, enabling users to copy data between Azure Data Lake Gen2 and Fabric Data Warehouse using service principal authentication. For more information, see Copy data across tenants using Copy job in Fabric Data Factory. |
| July 2025 | Boost Performance with Fast Copy in Dataflow Gen2 dataflows for Snowflake | Fast Copy in Dataflow Gen2 dataflows provide faster and more cost-efficient data loading from Snowflake into Microsoft Fabric. For more information, see Fast copy in Dataflow Gen2. |
| June 2025 | Privacy by Design: Personal data Detection and Anonymization with PySpark | This blog explores how to build scalable, secure, and compliant data workflows using PySpark, Microsoft Presidio, and Faker. |
| April 2025 | Metadata-driven Lakehouse implementation | Learn how to design and implement an end-to-end metadata-driven Lakehouse using Microsoft Fabric. |
| March 2025 | Build RAG Data pipeline from Azure Blob Storage to SQL Database in minutes | This blog post provides step-by-step instructions for creating a Retrieval Augmented Generation (RAG) pipeline to prepare your data for AI integration using SQL database in Microsoft Fabric. |
| January 2025 | Enhancing data quality with Copilot for Data Factory | Read this blog for a guide on using Copilot for Data Factory to clean and transform data. |
Fabric Data Engineering
This section summarizes archived new features and capabilities of data engineering, including Data Factory in Microsoft Fabric.
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | Microsoft JDBC Driver (Preview) | The Microsoft JDBC driver for Fabric Data Engineering (Preview) lets Java apps and BI tools connect to Spark SQL in Fabric using enterprise authentication, pooling, and Livy-based connectivity. For more information, see Microsoft JDBC driver for Fabric Data Engineering. |
| November 2025 | What's new in Fabric User Data Functions? Ignite 2025 edition | What's new in Fabric User Data Functions? Ignite 2025 edition includes Activator triggers, Variable Library integration, Azure Key Vault access, and Cosmos DB support so you centralize Python business logic and connect across Fabric items. |
| November 2025 | Fabric Activator integration in Fabric User Data functions (Preview) | Fabric Activator integration with Fabric User Data functions (preview) means you can create functions to process events from any source, including Fabric events and OneLake events. For more information, see Trigger Fabric items. |
| November 2025 | ArcGIS GeoAnalytics for Microsoft Fabric Spark (Generally Available) | ArcGIS GeoAnalytics for Microsoft Fabric Spark (Generally Available), now generally available, brings spatial analytics to Fabric Spark. For more information, see ArcGIS GeoAnalytics for Microsoft Fabric. |
| November 2025 | Spark executor rolling logs | Executor rolling logs for Spark 3.4 and above are supported for Spark History Server (for completed applications) and Spark UI (for running applications). For more information, see Extended Apache Spark history server. |
| October 2025 | Announcing the open-source release of Microsoft Fabric Extension for VS Code | Announcing the open-source release of Microsoft Fabric Extension for VS Code makes the Fabric Core extension for VS Code open source, enabling community contributions and transparency. |
| October 2025 | Securely accessing on-premises data with Fabric Data Engineering workloads | Securely access on-premises data and network-isolated data sources using managed private endpoints and REST APIs. For more information, see Set up a private link service for Fabric managed private endpoints. |
| October 2025 | OneLake Blob and ADLS APIs | OneLake APIs support Azure Blob Storage and Azure Data Lake Storage Gen2 APIs, enabling applications to access OneLake without code changes. For more information, see OneLake access and APIs. |
| October 2025 | OneLake security with row and column-level security policies | Learn how Spark supports OneLake security with row and column-level security policies. For more information, see OneLake security overview. |
| October 2025 | Spark Connector for SQL databases (Preview) | Spark Connector for SQL databases lets Spark read and write to Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure VM, and Fabric SQL databases with built‑in authentication and PySpark support. For more information, see Spark connector for SQL databases documentation. |
| October 2025 | Optimized Compaction in Fabric Spark | Optimized Compaction in Fabric Spark adds Fast Optimize, File Level Compaction Target, and Auto Compaction features to reduce write amplification and automate table maintenance. For more information, see Compacting Delta tables. |
| October 2025 | OneLake Table APIs (Preview) | OneLake Table APIs are now in preview, enabling programmatic management of tables in OneLake using Apache Iceberg REST Catalog. For more information, see OneLake table APIs for Iceberg. |
| October 2025 | OneLake diagnostics (Generally Available) | OneLake diagnostics provides end-to-end visibility into data activity across Fabric workspaces. OneLake diagnostics enable unified logging of data access and operations, supports compliance, and allows analysis using Spark, SQL, Eventhouse, or Power BI. For more information, see OneLake diagnostics. |
| October 2025 | Job-Level Bursting Switch for Spark | The Job-Level Bursting Switch gives capacity admins control to enable or disable Spark job bursting, optimizing for either peak performance or higher concurrency. For more information, see Job level bursting switch. |
| October 2025 | Target File Size and Adaptive Target File Size in Fabric Spark | Introducing two powerful file size management features in Microsoft Fabric Spark: use defined Target File Size and Adaptive Target File Size. With Adaptive Target File Size Management in Fabric Spark, Fabric Spark now adapts file sizes as they grow, improving query performance, parallelism, and reducing operational overhead. |
| October 2025 | Customer-managed keys for Fabric workspaces (Generally Available) | Customer-managed keys for Fabric workspaces (now generally available) enable workspace admins to encrypt data at rest by using their own keys from Azure Key Vault. For more information, see Customer-managed keys for Fabric workspaces. |
| October 2025 | Azure Synapse Runtime for Apache Spark 3.5 (Generally Available) | Azure Synapse Runtime for Apache Spark 3.5 is now generally available, for production workloads on Spark 3.5 and Delta Lake 3.2 in Azure Synapse. For more information, see Azure Synapse Runtime for Apache Spark 3.5 documentation.. |
| October 2025 | OneLake Security on the SQL Analytics Endpoint | OneLake Security (preview) enables centralized, fine-grained access control for the SQL analytics endpoint, including roles, RLS, and CLS policies. For more information, see OneLake Security for SQL analytics endpoints and OneLake security overview. |
| October 2025 | OneLake security (Preview) | OneLake security, now a preview feature, is fine-grained access control for OneLake data, including folder, row, and column-level security. For more information, see OneLake shortcut security and OneLake data access security API. |
| October 2025 | Workspace Outbound Access Protection for Spark (Generally Available) | Workspace Outbound Access Protection for Spark lets workspace admins restrict Spark outbound connections to only approved destinations via managed private endpoints to reduce data exfiltration risk. For more information, see Workspace outbound access protection. |
| October 2025 | Fabric User Data Functions (Generally Available) | Fabric user data functions are now generally available. You can create functions that contain business logic and connect to Fabric data sources, and/or invoke them from other Fabric items such as Data pipelines, Notebooks and Power BI reports. For more information, see Fabric user data functions. |
| September 2025 | Python Notebooks (Generally Available) | Python notebooks are now generally available, multiple kernel support, new APIs, Pylance, and more. To get started, see Use Python experience on Notebook. For more information on Pylance, see Enhance Python development with Pylance. |
| September 2025 | Environment Public APIs (Generally Available) | Environment APIs allow admins to create, get, or update environments, import, export or remove external libraries, and upload or delete custom libraries. Some existing APIs have newly updated response contracts. For a full list of impacted APIs and migration guidance, see Manage the environment through public APIs. |
| September 2025 | Fabric Spark Monitoring APIs (Generally Available) | Fabric Spark Monitoring APIs are a robust set of tools designed to enhance observability and streamline the monitoring and management of Spark applications within Microsoft Fabric. For more information, see Fabric Spark Monitoring APIs (Generally Available). |
| September 2025 | Spark Run Series Analysis (Generally Available) | The Spark Monitoring Run Series Analysis features allow you to analyze the run duration trend and performance comparison for Pipeline Spark activity recurring run instances and repetitive Spark run activities, from the same Notebook or Spark Job Definition. For more information, see Monitor Apache Spark run series. |
| September 2025 | Fabric Spark Applications Comparison (Preview) | The Spark Applications Comparison feature lets users select and compare up to four Spark application runs side by side. For more information, see Blog: Fabric Spark Applications Comparison. |
| September 2025 | OneLake file explorer updates | The latest improvements to OneLake file explorer provide smarter sync, stability improvements, and .NET 8 codebase. For more information, see OneLake file explorer. |
| September 2025 | Workspace Outbound Access Protection for Spark (Preview) | Workspace Outbound Access Protection for Spark lets workspace admins restrict Spark outbound connections to only approved destinations via managed private endpoints to reduce data exfiltration risk. For more information, see Workspace outbound access protection (preview). |
| August 2025 | JobInsight Diagnostics Library (Preview) | JobInsight is a diagnostics library to analyze completed Spark applications via APIs for queries, jobs, stages, tasks, executors, and event logs. For more information, see JobInsight diagnostics library (preview). |
| August 2025 | Enhanced Monitoring for Spark High Concurrency Workloads in Microsoft Fabric | Enhanced Monitoring for Spark High Concurrency Workloads in Microsoft Fabric adds Notebook-aware job, log, and snapshot views for high-concurrency Spark sessions to improve debugging and performance tuning. For more information, see Apache Spark application detail monitoring. |
| August 2025 | Develop mode for Fabric User Data Functions (Preview) | Develop mode for Fabric User Data Functions is a dedicated environment to test, edit, and validate functions before publishing, with immediate outputs and logs. For more information, see Test your User Data Functions in the Fabric portal (preview). |
| August 2025 | OpenAPI specification code generation for Fabric User Data Functions | The Open API specification, formerly Swagger Specification, now provides code generation for Fabric User Data Functions enables automatic generation of OpenAPI specifications (formerly Swagger specification) for your functions, supporting client code generation, API management, and AI agent integration. For more information, use the latest version of the fabric-user-data-functions library, and see Configure a tool for OpenAPI spec samples in Microsoft Foundry. |
| August 2025 | Load data from network-protected Azure Storage accounts to Microsoft OneLake with AzCopy | AzCopy now supports copying data from firewall-enabled Azure Storage accounts into OneLake using trusted workspace access, enabling secure and efficient large-scale data movement. For more information, see Copy data with OneLake and AzCopy and Use trusted workspace access. |
| July 2025 | Autoscale Billing for Spark in Microsoft Fabric | Autoscale Billing for Apache Spark in Microsoft Fabric is now generally available. Autoscale is a serverless billing model designed to offer greater flexibility, transparency, and cost efficiency for running Spark workloads at scale. For more information, see Autoscale Billing for Spark in Microsoft Fabric and Understand the metrics app Autoscale compute for Spark page. |
| July 2025 | Microsoft Entra service principal support for Amazon S3 Shortcuts (preview) | You can now use Microsoft Entra service principals to access Amazon S3 via OneLake Shortcuts, eliminating the need for long-term AWS access keys. This integration uses OpenID Connect (OIDC) for short-lived, standards-based tokens, simplifies cross-cloud identity management, and enables full auditability via AWS CloudTrail. To get started, see AWS S3 shortcuts using service principal authentication. |
| July 2025 | Access your Delta Lake tables as Apache Iceberg in OneLake (preview) | OneLake now lets you access your Delta Lake tables using Apache Iceberg compatible readers, automatically, without data movement or duplication. To get started, see Use Apache Iceberg tables with OneLake. |
| July 2025 | Python Notebook supports tsql magic commands (preview) | Python Notebooks now support the tsql magic command to query Fabric Data Warehouse. To see the full syntax, you can use the %%tsql -? command. For more information, see Run T-SQL code in Fabric Python notebooks. |
| June 2025 | Notebook Copilot inline code completion (preview) | Now in preview, Copilot Inline Code Completion (Preview) is an AI feature that assists data scientists and engineers in writing Python code more quickly and easily. For more information, see Notebook Copilot code completion (Preview). |
| June 2025 | Notebook version history GA | Fabric notebook version history provides robust built-in version control capabilities, including automatic and manual checkpoints, tracked changes, version comparisons, and previous version restore. For more information, see Notebook version history. |
| June 2025 | T-SQL notebooks GA | The T-SQL notebook feature is now generally available. You can use T-SQL notebooks to write and run T-SQL code, manage complex queries, and write better markdown documentation. The new monitoring experience includes a new Recent run panel and a dedicated T-SQL panel to list the query history. To learn more, see T-SQL support in Microsoft Fabric notebooks. |
| June 2025 | AI functions improvements (preview) | AI functions for data engineering are now in preview. Learn more about recent improvements to AI functions during the current preview. |
| June 2025 | New features for Microsoft Fabric Extension in VS Code | Now in the Fabric extension for VS Code, you can create items and switch tenants to manage your workspaces and items. For more information, see Announcing new features for Microsoft Fabric Extension in VS Code. |
| June 2025 | Customer-managed keys for Fabric workspaces (preview) | Workspace customer-managed keys allow you to encrypt data in OneLake using your own keys. For more information, see Customer Managed Keys in OneLake: Strengthening Data Protection and Control. |
| June 2025 | Aggregations in Fabric API for GraphQL | Aggregations in Fabric API for GraphQL enable more efficient and powerful data queries using GraphQL in Fabric. For more information, see Aggregations in API for GraphQL. |
| May 2025 | Boost performance effortlessly with Automated Table Statistics in Fabric Spark | Automated Table Statistics are now generally available, automatically optimizing query performance by maintaining up-to-date statistics in Fabric Spark. For more information, see Configure and manage Automated Table Statistics in Fabric Spark. |
| May 2025 | Authenticate to Fabric data connections using Azure Key Vault (preview) | You can now authenticate to Fabric data connections using Azure Key Vault stored secrets (preview). Azure Key Vault references enable secure and centralized secret management for your data connections. For more information, see Azure Key Vault references overview (preview) and get started at Configure Azure Key Vault references. |
| May 2025 | Shortcut transformations (preview) | Shortcut transformations let you automatically transform data as you bring it into OneLake or move it between OneLake data items. For more information, see Shortcuts file transformations. |
| May 2025 | Microsoft Fabric Spark Native Execution Engine now generally available | The Microsoft Fabric Spark Native Execution Engine is now generally available as part of Fabric Runtime 1.3 and provides improved performance and efficiency for Spark workloads in Microsoft Fabric. For more information, see Native execution engine for Fabric Spark. |
| May 2025 | Azure Blob Storage in OneLake shortcut type (preview) | You can now create shortcuts to Azure Blob Storage in OneLake, making it easier to integrate and access blob data in Microsoft Fabric. For more information, see Create an Azure Blob Storage shortcut (preview). |
| May 2025 | Materialized Lake views (preview) | Materialized Lake Views were announced at Build 2025. Materialized Lake Views in Microsoft Fabric enable fast and efficient querying of data stored in OneLake. |
| May 2025 | Inline code completion in Fabric notebooks (preview) | Fabric notebooks with inline code completion helps users write code faster and with fewer errors. For more information, see Copilot for Data Engineering and Data Science (preview). |
| May 2025 | OneLake shortcut cache and on-premises gateway support now generally available | Shortcut cache and on-premises gateway support is now generally available. Use OneLake shortcut cache to quickly and easily source data from external cloud providers. The on-premises gateway allows you to securely connect to your data through multiple network restricted scenarios. For more information, see Create shortcuts to on-premises data. |
| April 2025 | Fabric Spark connector for Fabric Data Warehouse in Spark runtime | The Spark connector for Data Warehouse, now generally available, enables a Spark developer or a data scientist to access and work on data from a warehouse or SQL analytics endpoint of the lakehouse (either from within the same workspace or from across workspaces) with a simplified Spark API. |
| April 2025 | Purview DLP Policies with Restrict Access for Fabric Lakehouses (preview) | Microsoft Purview's Data Loss Prevention (DLP) policies can now restrict access in Fabric Lakehouses. |
| April 2025 | OneLake SAS | Support for short-lived, user-delegated OneLake SAS is now generally available. This functionality allows applications to request a User Delegation Key backed by Microsoft Entra ID, and then use this key to construct a OneLake SAS token. This token can be handed off to provide delegated access to another tool, node, or user, ensuring secure and controlled access. |
| April 2025 | Row-level and Column-level security in Spark | Row and column level security for Spark within Microsoft Fabric are now available. This update significantly enhances data governance by incorporating fine-grained security controls within Spark. |
| April 2025 | Environment sharing across workspaces (preview) | You can now attach Environments from different workspaces in your Notebooks and Spark job definitions, as a preview feature. For more information, see Create, configure, and use an environment in Microsoft Fabric. |
| April 2025 | OPTIMIZE FAST and FSCK commands in Fabric Runtime 1.3 for Apache Spark | The Spark SQL FSCK REPAIR TABLE command and fast OPTIMIZE for V-Order are now available on Fabric Runtime 1.3 (Spark 3.5 / Delta 3.2). For more information, see Fabric Runtime 1.3 (GA). |
| April 2025 | Fabric Spark Monitoring APIs (preview) | Fabric Spark Monitoring APIs, currently in preview, are a robust set of tools designed to enhance observability and streamline the monitoring and management of Spark applications within Microsoft Fabric. |
| April 2025 | Fabric User Data Functions (preview) | Fabric User Data Functions let you create functions that contain business logic and connect to Fabric data sources, and/or invoke them from other Fabric items such as Data pipelines, Notebooks and Power BI reports. The Functions Hub provides a single location to view, access, and manage your User Data Functions. For more information, see Fabric User data functions (preview). |
| April 2025 | Azure Key Vault and AWS KMS for S3 support for OneLake shortcuts | OneLake shortcuts now support Azure Key Vault and AWS KMS for S3 buckets. OneLake shortcuts now support connecting to Azure Key Vault references for ADLS Gen2 and S3 buckets secured with AWS KMS. |
| April 2025 | OneLake shortcuts Fabric SQL databases | OneLake shortcuts now support connections to Fabric SQL databases, allowing users to seamlessly integrate SQL data into their unified data lake environment using the OneLake catalog explorer. |
| April 2025 | CI/CD support OneLake shortcuts | OneLake shortcuts now support batch creation via the API and management with CI/CD. |
| April 2025 | High concurrency mode for Notebooks in Pipelines | High concurrency mode for notebooks in pipelines, now generally available, enables users to share Spark sessions across multiple notebooks within a pipeline. With high concurrency mode, users can trigger pipeline jobs, and these jobs are automatically packed into existing high concurrency sessions. |
| April 2025 | Supercharge your workloads: write-optimized default Spark configurations in Microsoft Fabric | With predefined Spark resource profiles, it's easier than ever for data engineers to optimize their compute configurations based on workload needs. For more information, see Supercharge your workloads: write-optimized default Spark configurations. |
| March 2025 | Enhancing AI productivity in Fabric Notebooks | The latest Copilot updates improve productivity with in-cell interactions, better code generation, and seamless integration with Fabric. For more information, see What's New in Copilot updates for Fabric notebooks. |
| March 2025 | Autoscale billing for Spark | The new autoscale billing model offer greater flexibility and cost efficiency for Spark workloads. For more information, see Introducing Autoscale Billing for Spark in Microsoft Fabric. |
| February 2025 | T-SQL notebook enhancements | The T-SQL notebook now includes more T-SQL code snippets, easy open within Excel, traceability of the warehouse, and CI/CD support. For more information, see T-SQL notebook enhancements. |
| February 2025 | Centralized data governance in the OneLake catalog (preview) | A new centralized data governance experience in the OneLake catalog is in preview. Data owners can view aggregated insights on the items they created, consider improving their governance by taking recommended actions, and access more information along with all available tools in Fabric. |
| February 2025 | Managed private endpoint and private link support for Native Execution Engine in Spark | Private Links and Managed Private Endpoints are now supported for Native Execution Engine. Learn more about the Native execution engine for Fabric Spark. |
| February 2025 | Capacity settings include option to Disable Starter Pool | New controls in Data Engineering/Science Capacity settings include the option to Disable Starter Pool for workspaces, to help capacity admins have better compute restrictions on workspaces attached to their Fabric Capacity. |
| February 2025 | Monitoring for high concurrency in T-SQL notebooks | New features like log segmentation and auto-mapping of jobs, stages, and tasks in Notebooks allow for better tracking and troubleshooting of high concurrency Notebook executions. |
| February 2025 | Enhancements to support additional notebook run scenarios | Support for notebook runs triggered by NotebookUtils, snapshots for running notebooks, and Enhanced visibility into parallel notebook runs have been introduced. |
| February 2025 | Fabric Spark Resource Analysis | The Fabric Spark Resource Utilization Analysis feature provides in-depth insights into your Apache Spark applications within Microsoft Fabric. For more information, see Monitor Apache Spark applications resource utilization. |
| February 2025 | AI functions (preview) | AI functions for data engineering with GenAI are now in preview. With AI functions, you can harness the power of GenAI for summarization, classification, text generation, and so much more—all with a single line of code. |
| February 2025 | Fabric Spark connector for Fabric Data Warehouse in Spark runtime (preview) | The Spark connector for Data Warehouse enables a Spark developer or a data scientist to access and work on data from a warehouse or SQL analytics endpoint of the lakehouse (either from within the same workspace or from across workspaces) with a simplified Spark API. For more information, see Spark Connector for Fabric Data Warehouse - Preview. |
| February 2025 | ArcGIS GeoAnalytics for Microsoft Fabric Spark (preview) | Microsoft and Esri have partnered to bring spatial analytics into Microsoft Fabric. To learn more about ArcGIS integration within Microsoft Fabric Spark, see ArcGIS GeoAnalytics for Microsoft Fabric (preview) and ArcGIS in Fabric integrations. |
| February 2025 | What's new in OneLake catalog: Data governance and more | Read more about recent OneLake improvements involving the Catalog, data governance, personalized insights and actions, and more. |
| January 2025 | Simplified enablement and transition to Runtime 1.3 from Runtime 1.2 | We recommend upgrading to Runtime 1.3 to maintain support, as native acceleration will soon be unavailable on Runtime 1.2. Now, activating Native Execution Engine on Runtime 1.3 is as easy as a switch. You'll find the new toggle button in the Acceleration tab within your environment settings. |
| January 2025 | Notebook and Spark Job definition execution with service principal | You can now run a Notebook/Spark Job Definition execution under the credentials of a service principal. Use the Fabric Job Scheduler API with a service principal's access token, to run the Spark Job within the security context of that service principal. |
| January 2025 | Building Apps with Microsoft Fabric API for GraphQL | Microsoft Fabric has an API for GraphQL to build your data applications, enabling you to pull data from sources such as Data Warehouses, Lakehouse, Mirrored Databases, and DataMart in Microsoft Fabric. |
| January 2025 | Efficient log management with Microsoft Fabric | For a tutorial and walkthrough of efficient log files collection processing and analysis with Real-Time Intelligence, read this new blog post on Efficient log management with Microsoft Fabric. |
| January 2025 | Folder security within a shortcut in OneLake | Now you can define security on any subfolder within the shortcut root. For more information and an example, see Define security on folders within a shortcut using OneLake data access roles. |
Fabric Data Engineering samples and guidance
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | Environment configuration in Fabric User data functions with variable libraries | Manage UDF environment configuration with variable libraries in User Data Functions to keep secrets and settings out of code and inject values across dev, test, and prod. For more information, see Get started with variable libraries and User Data Functions overview. |
| November 2025 | Transform sensitive text into AI-ready data on Microsoft Fabric | Learn how to Transform sensitive text into AI-ready data with Tonic Textual. You can detect, redact, and synthesize sensitive entities in unstructured files directly in OneLake so you can create AI-ready datasets while staying compliant. |
| November 2025 | Fine‑grained ReadWrite access to data with OneLake security (Preview) | Fine‑grained ReadWrite access to data with OneLake security (Preview) lets you grant precise write access to specific lakehouse tables and folders—without elevated workspace roles—so you can upload, edit, and manage files via Spark and OneLake APIs while remaining least‑privilege. For more information, see OneLake security overview. |
| October 2025 | From Files to Delta Tables—Parquet & JSON data ingestion simplified with Shortcut Transformations | Shortcut Transformations enable automatic schema handling, deep flattening, and continuous sync for Parquet and JSON files into Delta tables. For more information, see Shortcut transformations. |
| October 2025 | How Spark supports OneLake security with row and column-level security policies | How Spark supports OneLake security with row and column-level security policies explains how Spark in Fabric enforces row and column-level security policies for data stored in OneLake. For more information, see OneLake security overview. |
| August 2025 | Declarative Data Transformations with Materialized Lake Views | Learn how to use Declarative Data Transformations with Materialized Lake Views to enable declarative, incremental transformations across Bronze, Silver, and Gold layers for curated analytics. For more information, see Materialized Lake Views and Create a materialized lake view. |
| August 2025 | How to access your Microsoft Fabric tables in Apache Iceberg format | See an example of how Microsoft OneLake now enables Delta Lake tables in Fabric to be accessed as Apache Iceberg tables, allowing seamless interoperability with Iceberg-compatible engines and tools. For more information, see Virtualize Delta Lake tables as Iceberg. |
| July 2025 | Using Microsoft Fabric Git integration for User Data Functions | Microsoft Fabric provides built-in Git integration and deployment pipelines for user data functions, streamlining version control, collaboration, and release management for workspace items. For more information, see Introduction to Git integration in Fabric. |
| July 2025 | Shortcut-based AI Powered OneLake Shortcut Transformations for unstructured text | Shortcut-based AI transformations convert raw text files into governed Delta Lake tables in minutes, enabling faster insights, automated compliance, and consistent data quality. For more information, see AI transformations for OneLake shortcuts. |
| July 2025 | User Data Functions now support async functions and pandas DataFrame, Series types | Learn how to use async functions, pandas DataFrame, and Series types in Fabric user data functions. |
| July 2025 | Connecting AI agents to Microsoft Fabric with GraphQL and the Model Context Protocol (MCP) | Learn how to Connect AI agents to Microsoft Fabric with GraphQL and the Model Context Protocol (MCP). The complete MCP server implementation is available in the Microsoft Fabric samples repository. |
| June 2025 | How to debug user data functions locally in VS Code | Learn how to perform local debugging on user data functions with Visual Studio Code. |
| June 2025 | Integrating Azure API Management with Fabric API for GraphQL | Learn how to configure Azure API Management (APIM) with Microsoft Fabric's API for GraphQL to significantly enhance your API's capabilities by providing robust scalability and security features such as identity management, rate limiting, and caching. |
| June 2025 | Privacy by Design: Personal data Detection and Anonymization with PySpark | This blog explores how to build scalable, secure, and compliant data workflows using PySpark, Microsoft Presidio, and Faker. |
| June 2025 | Integrate Fabric with Azure Databricks using private network | Learn how to securely integrate Azure Databricks with Fabric using a virtual network gateway, enabling end to end private network connectivity. |
| May 2025 | Understanding OneLake Security with Shortcuts | Understanding OneLake Security with Shortcuts explains how security is managed when using shortcuts in OneLake. For more information, see OneLake shortcut security. |
| May 2025 | Manage connections for shortcuts | Learn how to manage connections for shortcuts and centrally manage connections for OneLake shortcuts in Microsoft Fabric. For more information, see Unify data sources with OneLake shortcuts. |
| April 2025 | Build data-driven agents with curated data from OneLake | In this blog post, learn why Fabric and OneLake are the ideal data tools to fuel your AI projects in Foundry. |
| April 2025 | Best practices for Microsoft Fabric GraphQL API performance | Explore best practices for your Fabric GraphQL API. Whether you're handling complex queries or optimizing response times, these strategies help you get the best performance out of your GraphQL implementation. |
| April 2025 | Develop, test and deploy a user data functions in Microsoft Fabric using Visual Studio Code | Fabric User data functions allow you to host and run serverless functions on Fabric. Developers can write custom logic and embed it into their Fabric ecosystem. For a sample walkthrough, see Develop, test, and deploy a user data functions in Microsoft Fabric using Visual Studio Code. |
| April 2025 | Common use cases for building solutions with Microsoft Fabric User data functions | Fabric User data functions can make your data processes and pipelines super-efficient. |
| April 2025 | Building an analytical web application with Microsoft Fabric | In this blog post, dive into the architecture of an analytical application powered by Microsoft Fabric and provide a step-by-step guide on how to build it. |
| April 2025 | Metadata-driven Lakehouse implementation | Learn how to design and implement an end-to-end metadata-driven Lakehouse using Microsoft Fabric. |
| March 2025 | Simplify Data Transformation and Management with Copilot for Data Factory | Discover how Copilot for Data Factory streamlines data transformation and management, enhancing efficiency and productivity. Learn more about Simplify Data Transformation and Management with Copilot for Data Factory. |
| March 2025 | Virtualize your Cloudera/Hadoop data estate into Fabric OneLake with Apache Ozone | Learn more about a sample architecture using Microsoft Fabric OneLake shortcuts to virtualize data from Cloudera/Apache Ozone, using the OneLake S3 Compatible Shortcut. |
| March 2025 | Unlock the power of your Apache Iceberg data in OneLake | It's easy to get started with OneLake's Iceberg table format support. Learn how to bring your Apache Iceberg data to Fabric. |
| February 2025 | New lakehouse samples | Two familiar Lakehouse samples, WideWorldImporters and NYC Taxi, are designed to support deeper analysis and flexibility for both schema-enabled and non-schema Lakehouses. |
| February 2025 | Build a python app with Fabric API for GraphQL | Fabric API for GraphQL brings GraphQL experience within Fabric to securely and efficiently access the data in Fabric items such as databases or warehouses. Learn how to build a Python application using Flask framework to connect to Fabric SQL database and query data. |
| February 2025 | Streamline Data Engineering & Data Science with Copilot in Fabric | Contoso Retailers, a fictitious company, wants to learn how they can unlock the full potential of their data science and data engineering efforts with Copilot for Data Engineering and Data Science using Fabric. |
| February 2025 | Private ADLS Gen2 access made easy with OneLake Shortcuts: a step-by-step guide | How can you use your existing ADLS Gen2 data lake with private storage accounts? The solution is Trusted Workspace Access, which allows secure shortcuts to data in ADLS Gen2 even when protected by a firewall or when public access is entirely disabled. |
| January 2025 | Create a shortcut to a VPC-protected Google Cloud Storage bucket | Follow this guide to create a OneLake shortcut to a VPC-protected Google Cloud Storage (GCS) bucket. |
| January 2025 | Best practices for Fabric API for GraphQL | The Microsoft Fabric API for GraphQL is a handy service that quickly allows you to set up a GraphQL API to pull data from places like warehouses, the lakehouse, and mirrored databases. Learn best practices when building applications using Fabric API for GraphQL. |
Fabric Data Science
This section summarizes archived improvements and features for the Data Science experience in Microsoft Fabric.
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | Fabric AI Functions (Generally Available) | Fabric AI Functions are now generally available with comprehensive enhancements including the new ai.embed() function for text embeddings, new parameters for sentiment analysis, entity extraction, text generation and summarization, advanced gpt-5 configuration options, increased default concurrency (200), and expanded model support for Azure OpenAI and Microsoft Foundry resources (Claude, LLaMA, etc.). For more information, see Transform and enrich data with AI functions. |
| November 2025 | Creator Improvements in the Data Agent | Creator Improvements in the Data Agent adds example query referencing, diagnostic tracing, SDK validation for few-shot examples, Markdown instructions, and a multitasking creation flow to speed debugging and iteration. To get started, see Configure your data agent. |
| October 2025 | Service Principal Support in Semantic Link | Service Principal Support in Semantic Link provides service principal authentication so notebooks and pipelines can run non-interactively at scale with secure automated access to semantic models. For more information, see Semantic Link service principal support. |
| October 2025 | Fabric Data Agent now supports CI/CD, ALM Flow, and Git Integration | Fabric Data Agent now supports CI/CD, ALM flow, and Git integration for version control and collaborative development. For more information, see Fabric data agent source control. |
| September 2025 | Data Agent from mirrored databases | You can unlock LLM-powered insights through Data Agent from your mirrored databases enables Data Agent to connect to mirrored databases in Fabric for natural language querying and analysis. For more information, see Data Agent overview and Mirroring overview. |
| September 2025 | Data Wrangler (Generally Available) | In Data Wrangler's visual interface, you can see smart suggestions from Microsoft PROSE for operations that are relevant to your data frame. Describe your desired transformations in natural language, and Copilot generates code and an instant preview of the results. For big data workflows, Data Wrangler can translate all your pandas operations back to PySpark. |
| September 2025 | AI Functions in Data Wrangler (Preview) | The ability to apply AI functions directly within Data Wrangler to transform your data quickly and visually is now available as a preview feature. For more information, see Accelerate Data Transformation with AI Functions in Data Wrangler (Preview). |
| August 2025 | Pandas DataFrames and Series as input and output types | You can now use Fabric User Data Functions with Pandas DataFrames and Series in Notebooks to add native Pandas DataFrame and Series input/output support for User Data Functions in notebooks via Apache Arrow for faster, more efficient reuse. For more information, see NotebookUtils for Fabric. |
| July 2025 | Expanded Data Agent support for large data sources | Fabric data agents now support large-scale data sources, including Kusto, Semantic Models, Lakehouse, and Warehouse datasets with over 1,000 tables and more than 100 columns and measures. For configuration guidance, see Data agent configuration best practices. |
| July 2025 | ML model endpoints (Preview) | ML models in Fabric can now serve real-time predictions from secure, scalable, and easy-to-use online endpoints. In addition to batch predictions in Spark, you can use endpoints to bring ML model predictions to other Fabric solutions and custom applications. For more information, see Automated machine learning in Fabric and Model endpoints in Fabric. |
| June 2025 | AI functions improvements (preview) | AI functions for data engineering are now in preview. Learn more about recent improvements to AI functions during the current preview. |
| June 2025 | Data source instructions in Fabric Data Agent | Data Source Instructions in the Fabric Data Agent help you get more precise, relevant answers from your structured data. For more information, see New in Fabric Data Agent: Data source instructions for smarter, more accurate AI responses. |
| May 2025 | Fabric data agent integration with Microsoft Copilot Studio (preview) | Fabric data agent is available in preview and can be added as an agent to your custom setup in Microsoft Copilot Studio. For more information, see Fabric data agent integration with Microsoft Copilot Studio (preview). |
| May 2025 | Evaluate your Fabric data agents with the Python SDK (preview) | You can now use the Python SDK to programmatically evaluate Fabric data agents. For more information, see Consume a Fabric Data Agent in Microsoft Copilot Studio (preview). |
| April 2025 | Fabric data agent integration with Azure AI Agent Service (preview) | We're excited to launch the integration of data agents in Fabric with Azure AI Agent Service from Microsoft Foundry. To get started, see Consume a Fabric Data Agent in Microsoft Copilot Studio (preview). The Fabric data agent SDK is also available in preview. |
| April 2025 | High concurrency mode for Notebooks in Pipelines | High concurrency mode for notebooks in pipelines, now generally available, enables users to share Spark sessions across multiple notebooks within a pipeline. With high concurrency mode, users can trigger pipeline jobs, and these jobs are automatically packed into existing high concurrency sessions. |
| March 2025 | Enhancing AI productivity in Fabric Notebooks | The latest Copilot updates improve productivity with in-cell interactions, better code generation, and seamless integration with Fabric. For more information, see What's New in Copilot updates for Fabric notebooks. |
| February 2025 | Capacity settings include option to Disable Starter Pool | New controls in Data Engineering/Science Capacity settings include the option to Disable Starter Pool for workspaces, to help capacity admins have better compute restrictions on workspaces attached to their Fabric Capacity. |
| February 2025 | AI functions (preview) | AI functions for data engineering with GenAI are now in preview. With AI functions, you can harness the power of GenAI for summarization, classification, text generation, and so much more—all with a single line of code. |
| February 2025 | ArcGIS GeoAnalytics for Microsoft Fabric Spark (preview) | Microsoft and Esri have partnered to bring spatial analytics into Microsoft Fabric. To learn more about ArcGIS integration within Microsoft Fabric Spark, see ArcGIS GeoAnalytics for Microsoft Fabric (preview) and ArcGIS in Fabric integrations. |
| February 2025 | Fabric Catalyst Portal | The Fabric Catalyst Portal is collaborative knowledge hub designed to empower our partners with best practices, technical guidance, and real-world insights to accelerate Microsoft Fabric adoption. Registration for Microsoft partners is open. The first guidance is focused on Real-Time Intelligence. |
| January 2025 | Building Apps with Microsoft Fabric API for GraphQL | Microsoft Fabric has an API for GraphQL to build your data applications, enabling you to pull data from sources such as Data Warehouses, Lakehouse, Mirrored Databases, and DataMart in Microsoft Fabric. |
Fabric Data Science samples and guidance
| Month | Feature | Learn more |
|---|---|---|
| September 2025 | Fabric Data Agent in external applications with Python client SDK (Preview) | Learn how to use the Python client SDK to add a Fabric data agent to web apps and other clients by using interactive browser authentication. |
| May 2025 | Extracting deeper insights with Fabric data agents in Copilot in Power BI | You can use Fabric data agents in Copilot in Power BI to connect to more data sources and extract richer insights in Power BI. For more information, see Create a Fabric data agent. |
| May 2025 | Accelerate AI on Oracle databases with Open Mirroring, Fabric Data Agent, and Microsoft Foundry | Accelerate AI on Oracle databases with Open Mirroring, Fabric Data Agent, and Microsoft Foundry shows how to integrate Oracle databases with Microsoft Fabric and Microsoft Foundry for advanced analytics and AI scenarios. For more information, see Open Mirroring in Fabric. |
| February 2025 | Streamline Data Engineering & Data Science with Copilot in Fabric | Contoso Retailers, a fictitious company, wants to learn how they can unlock the full potential of their data science and data engineering efforts with Copilot for Data Engineering and Data Science using Fabric. |
SQL database in Microsoft Fabric
This section summarizes archived improvements and features for SQL database in Microsoft Fabric.
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | Auditing for Fabric SQL database (Preview) | Auditing for Fabric SQL database (Preview) introduces audit logging for Fabric SQL databases. You configure auditing in the portal, store logs in OneLake, and query them with sys.fn_get_audit_file_v2 to track access and changes for compliance and investigations. For more information, see Auditing for Fabric SQL database. |
| November 2025 | SQL database in Fabric (Generally Available) | SQL database in Fabric (Generally Available) is a serverless SQL database with T‑SQL and familiar tooling. Why SQL Database in Fabric? Built on the trusted SQL Server and Azure SQL Database engine, this is the first fully SaaS-native operational database experience within Microsoft Fabric. |
| November 2025 | Copilot in Fabric SQL database (Generally Available) | Copilot in Fabric in the SQL database workload? provides a natural‑language Copilot that helps generate, explain, and optimize SQL queries, surface relevant insights, and accelerate common database tasks. For more information, see Copilot and Query Editor in SQL database in Fabric (Generally Available). |
| November 2025 | Data virtualization in SQL database in Fabric (Preview) | Data virtualization in SQL database enables querying external data stored in OneLake using T-SQL. With data virtualization syntax, you can execute Transact-SQL (T-SQL) queries on files that store data in common data formats in OneLake. You can combine this data with locally stored relational data by using joins. For more information, see OPENROWSET and external tables for SQL database in Fabric (preview). |
| October 2025 | Spark Connector for SQL databases (Preview) | Spark Connector for SQL databases lets Spark read and write to Azure SQL Database, Azure SQL Managed Instance, SQL Server on Azure VM, and Fabric SQL databases with built‑in authentication and PySpark support. For more information, see Spark connector for SQL databases documentation. |
| October 2025 | Extending Point-in-Time Retention from 7 to 35 Days | Point-in-time backup retention in Fabric SQL Database has been extended from 7 to 35 Days, allowing recovery to any point in the last 35 days. For more information, see Restore from a backup in SQL database. |
| September 2025 | Auditing, backup, Copilot, and more | Read about new SQL database in Fabric features including auditing, backup, Copilot, and more. |
| September 2025 | MSSQL extension for VS Code Fabric integration (Preview) | MSSQL extension for VS Code Fabric integration (Preview) adds support for connecting, running queries, and managing objects in SQL databases in Fabric directly from Visual Studio Code. Download the extension at MSSQL extension at marketplace.visualstudio.com. |
| September 2025 | Performance Dashboard enhancements | The Performance dashboard now includes memory consumption metrics in the performance monitoring capability, among other enhancements. To access, select Performance summary on your SQL database. For more information on the new features, see Memory consumption metrics: Now available for Fabric SQL Database. |
| July 2025 | DOP Feedback generally available | Degrees of Parallelism (DOP) feedback is now generally available in SQL database in Fabric. For more information, see Smarter Parallelism: Degree of parallelism feedback in SQL Server 2025. |
| July 2025 | Deploy SQL database with Fabric CLI | You can now create a SQL database with the Fabric CLI. |
| June 2025 | Updates to Database Development Tools for SQL database in Fabric | Updates to Database Development Tools for SQL database in Fabric introduce new capabilities for developing, deploying, and managing SQL databases in Fabric. |
| April 2025 | Power BI Desktop connection to SQL database in Fabric | You can now use the OneLake catalog or Get Data experiences in Power BI Desktop to create reports on data from your SQL database in Microsoft Fabric. This Power BI Desktop feature is currently in preview. To get started, see Create simple reports on your SQL database in Power BI. |
| April 2025 | OneLake shortcuts Fabric SQL databases | OneLake shortcuts now support connections to Fabric SQL databases, allowing users to seamlessly integrate SQL data into their unified data lake environment using the OneLake catalog explorer. |
| March 2025 | Backup storage billing | Starting April 1, backup storage billing begins for SQL database in Microsoft Fabric. For more information, see Backup Storage Billing for SQL Database in Microsoft Fabric. |
| March 2025 | SQL database enabled by default on March 28 | SQL database in Fabric will be enabled for all users in your tenant on March 28. For more information and potential opt-out, see default checkbox changes on tenant settings for SQL database in Fabric. |
| February 2025 | Approximate or fuzzy string matching (preview) | Check if two strings are similar, and calculate the difference between two strings. Use this capability to identify strings that might be different because of character corruption. What is fuzzy string matching? |
| February 2025 | DATEADD number allows bigint (preview) | For DATEADD (datepart , number , date ), number can be expressed as a bigint. For more information, see DATEADD (Transact-SQL). |
| February 2025 | Regular expression functions (preview) | Regular expression (REGEX) functions return text based on values in a search pattern. For more information, see Regular expressions. |
| January 2025 | SQL database support for tenant level private links (preview) | You can use tenant level private links to provide secure access for data traffic in Microsoft Fabric, including SQL database (in preview). For more information, see Set up and use private links and Blog: Tenant Level Private Link (Preview). |
| January 2025 | SQL databases billing begins | After February 1, 2025, compute and data storage for SQL database are charged to your Fabric capacity. Additionally, backup billing will start after April 1, 2025. For more information, see Activation of billing for SQL database in Fabric. |
| January 2025 | Ask the Experts – Fabric Databases – Livestream January 29! | Join us for a live Q&A session on the new Fabric Databases experience! Our product engineering team will answer your top questions in real time. |
SQL database in Microsoft Fabric samples and guidance
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | AI functions available in preview | AI functions dealing with external models, chunks, and embeddings are now available in preview. For more information, see AI functions (Transact-SQL). |
| September 2025 | Fast Copy to SQL database in Fabric | Fast Copy for SQL database ingestion reduces latency for large SQL source loads in Dataflow Gen2 by using parallel bulk operations. |
| July 2025 | AI Ready Apps: Interacting with SQL Database in Fabric using GraphQL and MCP | Learn how Contoso Recruiting Agency uses Microsoft Fabric API for GraphQL and the Model Context Protocol (MCP) server to enable real-time, intelligent interactions with SQL database in Fabric. |
| July 2025 | Connect to your SQL database in Fabric using Python Notebook | You can now use a python notebook to connect to your SQL database in Fabric with the help of the T-SQL Magic command %%tsql. For more information, see Run T-SQL code in Fabric Python notebooks. |
| May 2025 | Smart Mutations in Microsoft Fabric API for GraphQL with stored procedures | Learn how to use Smart Mutations in Microsoft Fabric API for GraphQL with Stored Procedures to create, update, and delete data in your SQL database. |
| May 2025 | Understand Query vs Mutation in API for GraphQL | Understand the differences between Query vs Mutation in API for GraphQL and how to use them effectively. For more information, see Create an API for GraphQL in Fabric and add data and Fabric API for GraphQL frequently asked questions. |
| March 2025 | Build RAG Data pipeline from Azure Blob Storage to SQL Database in minutes | This blog post provides step-by-step instructions for creating a Retrieval Augmented Generation (RAG) pipeline to prepare your data for AI integration using SQL database in Microsoft Fabric. |
| February 2025 | Build a python app with Fabric API for GraphQL | Fabric API for GraphQL brings GraphQL experience within Fabric to securely and efficiently access the data in Fabric items like databases or warehouses. Learn how to build a Python application using Flask framework to connect to Fabric SQL database and query data. |
| February 2025 | Why SQL database in Fabric is the best choice for low-code/no-code Developers | In this blog post, we'll explore why SQL database in Fabric is uniquely suited for low-code/no-code developers. |
| February 2025 | Govern your data in SQL database in Microsoft Fabric with protection policies in Microsoft Purview | Microsoft Purview's protection policies help you safeguard sensitive data in Microsoft Fabric items, including SQL databases. Learn how Purview policies override Microsoft Fabric item permissions for users, apps, and groups, limiting their actions within the database. |
| February 2025 | ICYMI: Ask the Expert – Fabric Databases | Here's a few great questions and answers about SQL database in Fabric from a recent Ask the Expert session on Microsoft Reactor. |
| January 2025 | Manage access in SQL database with SQL native authorization controls | A follow-up to Learn how to manage Microsoft Fabric access controls in SQL database, learn how to manage access for your SQL database with SQL native access controls. SQL database in Microsoft Fabric supports two different sets of authorization controls, Microsoft Fabric access controls and SQL native access controls. |
| January 2025 | Monitor SQL Database usage and consumption by using capacity metrics app | Learn how the capacity metrics app can be used for monitoring usage and consumption of SQL databases in Fabric. |
| January 2025 | Performance Dashboard tutorial | For a complete walkthrough of performance troubleshooting in SQL database in Microsoft Fabric with the Performance Dashboard, see Speed up your SQL databases with the Performance Dashboard. |
| January 2025 | Manage access for SQL databases in Microsoft Fabric with workspace roles and item permissions | SQL database (preview) supports two different sets of controls that allow you to manage access for your databases: Microsoft Fabric access controls and SQL native access controls. Learn how to manage Microsoft Fabric access controls in SQL database. |
Fabric Data Warehouse
This section summarizes archived improvements and features for Data Warehouse in Microsoft Fabric.
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | Large string and binary values in Fabric Data Warehouse and SQL analytics endpoint for mirrored items (Generally Available) | Support for VARCHAR(MAX) and VARBINARY(MAX) lets you ingest, store, and query large text and binary data without truncation in Fabric Data Warehouse and SQL analytics endpoints for mirrored items, with size limits varying by source. For more information, see Data types. |
| November 2025 | dbt Job in Fabric Data Factory (Preview) | A dbt Job in Fabric Data Factory lets you author, schedule, and monitor dbt projects natively with serverless execution, integrated testing and documentation, and governance via Entra ID and SQL security policies. For more information, see dbt job in Microsoft Fabric (preview). |
| November 2025 | Warehouse data clustering (Preview) | Data clustering is a technique used to organize and store data based on similarity. Data clustering improves query performance and reduces compute and storage access costs for queries by grouping similar records together. For more information and to get started, see Data clustering documentation and Use data clustering in Fabric Data Warehouse. |
| November 2025 | Warehouse IDENTITY columns (Preview) | IDENTITY columns automatically produce unique values for each new row, eliminating the need for manual key assignments and eliminating the risk of key duplication and key integrity issues. For more information and to get started, see IDENTITY columns and Use IDENTITY columns to create surrogate keys. You can also learn how to Migrate to IDENTITY columns in Fabric Data Warehouse. |
| November 2025 | Warehouse snapshots | Warehouse snapshots, now generally available, are a point-in-time, read-only representation of your data warehouse. You can create a snapshot of your warehouse at any point in the past 30 days, connect to it and query it just like a warehouse, and "roll forward" your snapshot regularly. To get started, see Create and manage a warehouse snapshot. |
| November 2025 | Default Semantic Models retirement | By November 30, 2025, all Power BI default semantic models are disconnected from their item and become independent semantic models. You can retain them if you still use them for reports or dashboards or delete them safely if they are no longer needed. For more information, see Blog: Decoupling Default Semantic Models for Existing Items in Microsoft Fabric.
|
| October 2025 | JSON Lines support in OPENROWSET | JSON Lines (JSONL) support in the OPENROWSET(BULK) function for Fabric Data Warehouse and SQL analytics endpoints is generally available, allowing you to query external data in JSONL format. For more information, see how to query JSON files with the OPENROWSET function. |
| October 2025 | SSMS 22 + Fabric Data Warehouse | The new SSMS 22 Preview adds improved Fabric Data Warehouse integration with workspace-based connection names, schema-based object grouping, warehouse snapshots support, and context-aware menus. |
| October 2025 | Query and ingest JSONL files (Generally Available) | You can query and ingest JSONL files in a warehouse or a SQL analytics endpoint, now generally available. OPENROWSET(BULK) enables scalable reading and ingestion of JSONL files. |
| October 2025 | Outbound Access Protection | Outbound Access Protection now applies to Fabric Data Warehouse (in Preview) and SQL analytics endpoint (GA) items, enforcing workspace-level rules for outbound connections. Outbound Access Protection strengthens governance, reduces risk, and ensures only trusted sources are used for data loads and queries. For more information, see Workspace outbound access protection. |
| October 2025 | OneLake Security on the SQL Analytics Endpoint | OneLake Security (preview) enables centralized, fine-grained access control for the SQL analytics endpoint, including roles, RLS, and CLS policies. For more information, see OneLake Security for SQL analytics endpoints and OneLake security overview. |
| October 2025 | External data materialization | External data materialization can ingest and materialize external files as tables for optimized analytics and performance. For more information, see Create table from file and Browse file content with OPENROWSET. |
| September 2025 | Migration Assistant for Fabric Data Warehouse | The Migration Assistant, now generally available, simplifies the process of migrating from Azure Synapse Analytics to Fabric Data Warehouse. For more information, see Blog: Migration Assistant for Fabric Data Warehouse (Generally Available). To get started, see Migrate with the Fabric Migration Assistant for Data Warehouse. |
| September 2025 | MERGE support (Preview) | The MERGE T-SQL syntax is now in preview for Fabric Data Warehouse. This DML statement provides a sleek and uniform approach for executing transformations based on conditions between a Source and Target table. Perform INSERTs, UPDATEs, and DELETEs all in a single command with MERGE. |
| August 2025 | SET SHOWPLAN_XML support | The SET SHOWPLAN_XML T-SQL syntax is now generally available for Fabric Data Warehouse and SQL analytics endpoint. Use this session-level statement and its visualizer counterpart in SQL Server Management Studio to get insight into query plan information. |
| July 2025 | OneLake as a Source for COPY INTO and OPENROWSET (Preview) | COPY INTO and OPENROWSET now support reading directly from OneLake paths in Fabric Data Warehouse (preview), enabling SQL-based data ingestion and ad hoc querying from Lakehouse folders without external storage or complex setup. For more information, see Ingest data into the Warehouse. |
| July 2025 | Visual SQL Audit Logs configuration (Preview) | A new visual experience for configuring, enabling, and managing SQL Audit Logs in Fabric Warehouse is now available as a preview feature, allowing you to set up and customize auditing directly from the Fabric portal. For more information, see SQL audit logs in Fabric Data Warehouse (Preview). To get started, see Configure SQL audit logs in Fabric Data Warehouse. |
| July 2025 | JSON Lines support in OPENROWSET (Preview) | JSON Lines (JSONL) support in the OPENROWSET(BULK) function for Fabric Data Warehouse and SQL analytics endpoints is now in preview, allowing you to query external data in JSONL format. For more information, see OPENROWSET (BULK) (Transact-SQL). |
| July 2025 | Standardized audit operations | Audit operations are now consolidated under standardized operation names. For more information, see Operation list for audit logs and SQL audit logs in Fabric Data Warehouse (Preview). |
| July 2025 | Fabric Data Warehouse Migration Assistant: Better, Faster, More Reliable | Recent improvements to the Fabric Data Warehouse Migration Assistant add autofixes for the SQL surface area, removing some unsupported elements. For more information, see Migrate with Migration Assistant. |
| July 2025 | SQL analytics endpoint metadata sync with REST API | The ability to refresh SQL endpoint metadata via REST API is now generally available. For more information, see Refresh SQL analytics endpoint Metadata REST API GA. |
| June 2025 | Python Notebook supports tsql magic commands (preview) | Python Notebooks now support the tsql magic command to query Fabric Data Warehouse. To see the full syntax, you can use the %%tsql -? command. For more information, see Run T-SQL code in Fabric Python notebooks. |
| June 2025 | T-SQL notebooks GA | The T-SQL notebook feature is now generally available. You can use T-SQL notebooks to write and run T-SQL code, manage complex queries, and write better markdown documentation. The new monitoring experience includes a new Recent run panel and a dedicated T-SQL panel to list the query history. To learn more, see T-SQL support in Microsoft Fabric notebooks. |
| June 2025 | Refresh SQL analytics endpoint metadata with REST API (preview) | You can now refresh SQL endpoint metadata via REST API. To learn more, see Refresh SQL analytics endpoint Metadata REST API (Preview). |
| June 2025 | Scalar user-defined functions (UDFs) | Scalar user-defined functions (UDFs) are now supported as a preview feature. For more information, see CREATE FUNCTION for Fabric Data Warehouse. |
| June 2025 | Result set caching (preview) | Result set caching works by persisting the final result sets for applicable SELECT T-SQL queries, bypassing complex compilation and data processing of the original query to return queries faster. For more information, see Result Set Caching for Microsoft Fabric Data Warehouse (preview). |
| May 2025 | ALTER TABLE DROP COLUMN and sp_rename COLUMN support | Fabric Data Warehouse now supports sp_rename COLUMN and ALTER TABLE DROP COLUMN. |
| May 2025 | JSON Aggregate support | Fabric warehouses now support JSON aggregate functions as generally available features. For more information, see JSON_ARRAYAGG and JSON_OBJECTAGG. |
| May 2025 | Copilot for SQL analytics endpoint (preview) | The Copilot for SQL analytics endpoint introduces Copilot capabilities for the SQL analytics endpoint, enabling users to generate and optimize SQL queries using natural language. For more information, see Copilot for SQL analytics endpoint. |
| May 2025 | Warehouse snapshots (preview) | Warehouse snapshots are a point-in-time, read-only representation of your data warehouse. You can create a snapshot of your warehouse at any point in the past 30 days, connect to it and query it just like a warehouse, and "roll forward" your snapshot regularly. To get started, see Create and manage a warehouse snapshot. |
| April 2025 | Fabric Spark connector for Fabric Data Warehouse in Spark runtime | The Spark connector for Data Warehouse, now generally available, enables a Spark developer or a data scientist to access and work on data from a warehouse or SQL analytics endpoint of the lakehouse (either from within the same workspace or from across workspaces) with a simplified Spark API. |
| April 2025 | Session-scoped distributed #temp tables | Distributed session-scoped temporary tables in Fabric Data Warehouse and Fabric Lakehouse SQL analytics endpoints are now generally available. Now, #temp tables are supported as session scoped or local temp tables. For more information, see Tables in Fabric Data Warehouse. |
| April 2025 | BULK INSERT | The T-SQL BULK INSERT statement in Fabric Data Warehouse is now generally available. For more information, see BULK INSERT statement is generally available. |
| April 2025 | SQL Audit Logs | SQL Audit Logs provide a comprehensive and immutable record of all database activities, capturing critical details such as the event timestamp, the user or process that triggered the action, and the executed T-SQL statements. For more information, see Introducing SQL Audit Logs for Fabric Data Warehouse. |
| April 2025 | OPENROWSET support | The T-SQL OPENROWSET(BULK) function is now generally available in Fabric Data Warehouse. For more examples, see Browse file content using OPENROWSET function (preview). For more information, see OPENROWSET function in Fabric Data Warehouse now generally available. |
| March 2025 | Migration Assistant for Fabric Data Warehouse (preview) | The new Migration Assistant simplifies the process of migrating from Azure Synapse Analytics to Fabric Data Warehouse. For more information, see Public Preview of Migration Assistant for Fabric Data Warehouse. |
| March 2025 | Hints support | Fabric Data Warehouse now supports some T-SQL Query and Join hints. For more information, see What are hints? |
| February 2025 | T-SQL notebook enhancements | The T-SQL notebook now includes more T-SQL code snippets, easy open within Excel, traceability of the warehouse, and CI/CD support. For more information, see T-SQL notebook enhancements. |
| February 2025 | COLLATE support | The T-SQL COLLATE clause is now supported. For more information, see COLLATE (Transact-SQL). |
| February 2025 | Copilot for Data Warehouse Chat (Preview) | You will now see a Copilot button in the ribbon starts a chat with Copilot for acceleration with any data warehousing task. For more information, see How to: Use the Copilot chat pane for Fabric Data Warehouse. |
| February 2025 | Nested Common Table Expressions (CTEs) (GA) | Fabric Warehouse and SQL analytics endpoint both support standard, sequential, and nested CTEs as generally available features now. For more information, see nested common table expressions (CTE) in Fabric data warehousing (Transact-SQL). |
| February 2025 | Fabric Spark connector for Fabric Data Warehouse in Spark runtime (preview) | The Spark connector for Data Warehouse enables a Spark developer or a data scientist to access and work on data from a warehouse or SQL analytics endpoint of the lakehouse (either from within the same workspace or from across workspaces) with a simplified Spark API. For more information, see Spark Connector for Fabric Data Warehouse - Preview. |
| February 2025 | OPENROWSET and BULK INSERT support (preview) | The T-SQL OPENROWSET(BULK) function is now available in Fabric warehouse as a preview feature. For more information and examples, see Browse file content using OPENROWSET function (Preview). For more information, see BULK INSERT statement in Fabric Data Warehouse and Fabric OPENROWSET preview. |
| January 2025 | COPY INTO operations with row count check | The COPY INTO now allows you to control the behavior of your data ingestion jobs by checking if the count of columns in the source data matches the count of columns on your target table, with the MATCH_COLUMN_COUNT argument. |
| January 2025 | Default schema in a warehouse | You can now change the default schema for users in Fabric Data Warehouse, using the ALTER USER statement, ensuring that every user has a predefined schema context when they connect to the database. |
| January 2025 | Data Insights now includes Data Scanned and CPU time analytics | New columns are available in the queryinsights.exec_requests_history system view to determine if large data scans are contributing to slower query execution. For more information, see Query insights in Fabric data warehousing. |
| January 2025 | JSON Aggregate support (preview) | Fabric warehouses now support JSON aggregate functions in preview, JSON_ARRAYAGG and JSON_OBJECTAGG. |
| January 2025 | SET SHOWPLAN_XML support | The SET SHOWPLAN_XML T-SQL syntax is now supported as a preview feature in Fabric Data Warehouse and SQL analytics endpoint. For more information, see SHOWPLAN_XML in Fabric Data Warehouse (preview). |
| January 2025 | Service principal support | Service principal (SPN) support Fabric warehouse items allows developers and administrators to automate processes, streamline operations, and increase security for their data workflows. For more information, see Service principal support for Fabric Data Warehouse. |
| January 2025 | Warehouse restore points and restore in place | You can now create restore points and perform an in-place restore of a warehouse to a past point in time. Restore in-place is an essential part of data warehouse recovery, which allows to restore the data warehouse to a prior known reliable state by replacing or over-writing the existing data warehouse from which the restore point was created. |
| January 2025 | COPY INTO operations with granular permissions | Enhancements to the COPY INTO T-SQL command in Fabric Data Warehouse introduce granular SQL controls. For more information, see Enhancing COPY INTO operations with Granular Permissions. |
Fabric Data Warehouse samples and guidance
| Month | Feature | Learn more |
|---|---|---|
| October 2025 | Simplifying file access in OPENROWSET using data sources and relative paths (Preview) | You can access Lakehouse and ADLS files in OPENROWSET using data sources and relative paths, making SQL queries easier and more maintainable. For more information, see CREATE EXTERNAL DATA SOURCE. |
| October 2025 | Resolving Write Conflicts in Fabric Data Warehouse | The blog Resolving Write Conflicts in Microsoft Fabric Data Warehouse explains snapshot isolation, write-write conflicts, and new compaction preemption to improve concurrency. |
| October 2025 | Understanding Locking and DDL Blocking | The blog post Understanding Locking and DDL Blocking in Microsoft Fabric Data Warehouse explains table-level locking, DDL blocking, and best practices for managing concurrency in Fabric Data Warehouse. |
| September 2025 | A Guide: Migrating to Fabric Data Warehouse | Read for resources, tools, roadmaps, and more for migration to Fabric Data Warehouse. |
| June 2025 | Make your scalar user-defined functions (UDFs) inlineable | Scalar user-defined functions (UDFs) are now supported and inlining is an importance concept to understand. For more information, see How to make your SQL scalar user-defined function (UDF) inlineable in Microsoft Fabric Warehouse. |
| April 2025 | Build a Data Warehouse schema with Copilot for Data Warehouse | Learn how Contoso Retailers uses Copilot for Data Warehouse to gain insights into their data, identify key drivers of sales fluctuations, and make more informed, data-driven decisions. |
| April 2025 | Be a performance detective with Query Insights | Query Insights in Microsoft Fabric serves as a centralized repository, storing 30 days of historical query data. Learn how to use the system views and practical applications of Query Insights. |
| April 2025 | Understand item permissions in Fabric Data Warehouse | Learn more about the need for item permissions, what permissions can be assigned to users, and how to implement them effectively. |
| March 2025 | DacFx Integration for Warehouse ALM | Simplify your warehouse ALM with DacFx integration in Git and deployment pipelines for Fabric Warehouse (preview). For more information, see Simplify your Warehouse ALM with DacFx integration in Git and Deployment Pipelines. |
| March 2025 | Spatial queries samples in a warehouse | Fabric Data Warehouse supports two primary spatial data types, geometry and geography. Learn more about the spatial capabilities in Fabric Data Warehouse. |
| February 2025 | Build a python app with Fabric API for GraphQL | Fabric API for GraphQL brings GraphQL experience within Fabric to securely and efficiently access the data in Fabric items like databases or warehouses. Learn how to build a Python application using Flask framework to connect to Fabric SQL database and query data. |
| January 2025 | Best practices for Fabric API for GraphQL | The Microsoft Fabric API for GraphQL is a handy service that quickly allows you to set up a GraphQL API to pull data from places like warehouses, the lakehouse, and mirrored databases. Learn best practices when building applications using Fabric API for GraphQL. |
Fabric Mirroring
This section summarizes archived improvements and features for Mirroring in Microsoft Fabric.
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | SAP Datasphere Mirroring and Copy Job support (Preview) | SAP Connectivity in Microsoft Fabric now supports Mirroring for SAP Datasphere and Copy Job support for SAP Datasphere as preview features. |
| November 2025 | Cosmos DB Mirroring (GA) | Both Cosmos DB in Microsoft Fabric and Cosmos DB Mirroring are now generally available in Microsoft Fabric. For more information, see Cosmos DB in Microsoft Fabric and Cosmos DB Mirroring (Generally Available). |
| November 2025 | SQL Server 2025 Mirroring (GA) | SQL Server 2025 is now generally available, along with SQL Server Mirroring. For more information, see Mirroring for SQL Server in Microsoft Fabric (Generally Available). |
| September 2025 | Data Agent from mirrored databases | You can unlock LLM-powered insights through Data Agent from your mirrored databases enables Data Agent to connect to mirrored databases in Fabric for natural language querying and analysis. For more information, see Data Agent overview and Mirroring overview. |
| September 2025 | Mirroring for Azure SQL Managed Instance (Generally Available) | Mirroring for Azure SQL Managed Instance (now generally available) offers continuous data replication into OneLake. To get started, see Mirroring Azure SQL Managed Instance. |
| September 2025 | Mirrored databases from Oracle (preview) | You can now mirror your Oracle databases in Microsoft Fabric. When you mirror your Oracle data, you can analyze it together with data from other sources in near real-time with minimal latency and cost. For more information, see the tutorial to set up Oracle database mirroring. |
| September 2025 | Mirrored databases from Google Big Query (preview) | You can now mirror your Google BigQuery databases in Microsoft Fabric. Once in Fabric, you can take advantage of powerful capabilities for business intelligence, AI, data engineering, data science, and data sharing. To get started, see the tutorial to set up Google BigQuery database mirroring. |
| August 2025 | Resource governance for mirrored SQL Server 2025 (Preview) | You can now customize and configure resource governor pools and workloads for Fabric Mirroring from databases in SQL Server 2025 (Preview). For more information, see Resource governor for SQL Server mirroring in Fabric. |
| August 2025 | Autoreseed feature for mirrored SQL Server 2025 (Preview) | You can now enable and manage the autoreseed feature for Fabric Mirroring from databases in SQL Server 2025 (Preview). For more information, see Optimize performance for SQL Server mirroring in Fabric. |
| August 2025 | Maximum transactions limit for mirrored SQL Server 2025 (Preview) | You can now enable and manage a maximum and lower bound of transactions to be processed by Fabric Mirroring on SQL Server 2025 (Preview). For more information, see Maximum transactions for SQL Server mirroring in Fabric. |
| July 2025 | Mirroring for Azure SQL Database with Data Gateway GA | Mirroring for Azure SQL Database with Virtual Network Data Gateway and On-Premises Data Gateway (OPDG) is now generally available. |
| August 2025 | Decoupling semantic models for Mirroring customers | Semantic models are now decoupled from Mirrored artifacts in Microsoft Fabric, allowing you to define, version, and manage semantic models independently from mirrored data. For more information, see Sunsetting Default Semantic Models – Microsoft Fabric. |
| July 2025 | Connect to your warehouse using Python Notebook | You can now use a python notebook to connect to your warehouse with the help of the T-SQL Magic command %%tsql. For more information, see Run T-SQL code in Fabric Python notebooks. |
| July 2025 | Mirrored Azure Databricks | Mirrored Azure Databricks catalogs to Fabric are now generally available. A mirrored Unity Catalog in Fabric enables customer to read data managed by Unity Catalog from Fabric workloads. Storage accounts behind a firewall are also generally available. For more information, see Mirroring Azure Databricks Unity Catalog to Microsoft OneLake in Fabric (Generally Available). |
| June 2025 | Secure mirrored Azure Databricks data with OneLake security (preview) | You can secure mirrored Azure Databricks data in Fabric using OneLake security, now a feature in preview. You can now map Unity Catalog (UC) policies to Microsoft OneLake security. For more information, see Automatic identity managed in Azure Databricks. |
| May 2025 | Private Endpoint support and more features in Mirrored Azure SQL Managed Instance | Mirroring for Azure SQL Managed Instance: Private Endpoint support and other enhancements for mirroring Azure SQL Managed Instance to Microsoft Fabric. For more information, see Mirrored Azure SQL Managed Instance. |
| May 2025 | Mirroring in Fabric: Innovations at Microsoft Build 2025 | Build 2025 announced Innovations in Fabric Mirroring, including new mirroring capabilities and enhancements for integrating external databases with Microsoft Fabric. |
| May 2025 | Mirroring for Snowflake behind firewall (preview) | You can now mirror Snowflake protected by a firewall to Microsoft Fabric. For more information, see Mirroring for Snowflake behind firewall (preview) and Mirrored Snowflake. |
| May 2025 | Open mirroring | Open mirroring enables any application to write change data directly into a mirrored database in Fabric, based on the open mirroring public APIs and approach. Open mirroring, now generally available, is designed to be extensible, customizable, and open. It's a powerful feature that extends mirroring in Fabric based on open Delta Lake table format. To get started, see Tutorial: Configure Microsoft Fabric open mirrored databases. |
| May 2025 | Mirroring for SQL Server instances (preview) | Mirroring of databases from SQL Server instances is now in preview. For more information, see Mirroring for SQL Server (preview). |
| April 2025 | Microsoft Purview Data Loss Prevention policies for Fabric | Microsoft Purview's Data Loss Prevention (DLP) policies now support Fabric KQL and mirrored databases. Using DLP policies, security admins are able to define policies which scan data uploaded to KQL DBs or Mirrored DBs (including Snowflake, Azure, and more). |
| March 2025 | Mirroring CI/CD | CI/CD for Mirroring is now generally available. You can integrate Git for source control and utilize ALM Deployment Pipelines, streamlining the deployment process and ensuring seamless updates to mirrored databases. |
| March 2025 | Open Mirroring UI enhancements and CSV support | The release of support for CSV formats for Open Mirroring allows you to upload CSV files in addition to parquet files when using the API or user experience. For more information, see Open Mirroring UI enhancements and CSV support. |
| March 2025 | Mirroring updates to support firewalls, CI/CD, and more | Discover the many enhancements recently introduced to Fabric Mirroring. Database Mirroring now supports firewall connectivity for Azure SQL Database with on-premises Data Gateway. |
| March 2025 | Mirrored PostgreSQL Flexible Server (preview) | Fabric Database Mirroring now supports replication of your Azure Database for PostgreSQL Flexible Server as a preview feature. You can continuously replicate data in near real-time from your Flexible Server instance to Fabric OneLake. For more information, see Mirroring Azure Database for PostgreSQL flexible server. |
| February 2025 | Support for storage accounts behind a firewall for Mirrored Azure Databricks catalog items (Preview) | Storage accounts behind a firewall for Mirrored Azure Databricks catalog items are now supported as a preview feature. You can securely access Unity Catalog data even when it's stored in ADLS accounts protected by a firewall. |
| February 2025 | Open Mirroring for SAP sources – dab and Simplement | With open mirroring, data replication is an extensible platform that partners and customers can use to plug in their own data integration capabilities. Once data is brought in through open mirroring, it can be used in all Fabric workloads. Two partners have now taken the next step in integrating with open mirroring, and are ready to onboard customers. |
| January 2025 | Mirroring CI/CD (preview) | Mirroring now supports CI/CD as a preview feature. You can integrate Git for source control and utilize ALM Deployment Pipelines, streamlining the deployment process and ensuring seamless updates to mirrored databases. |
| January 2025 | Source schema support in Mirroring in Fabric | Mirroring in Fabric now supports replicating the source schema hierarchy. For more information, see Mirroring now supports replicating source schemas. |
| January 2025 | Delta column mapping support for Mirroring | Mirroring in Fabric now supports Delta column mapping. Column mapping is a feature of Delta tables that allows users to include spaces and special characters such as '``,``;``{``}``(``)``\n``\t``=``.``' in column names. For more information, see Delta column mapping support. |
Fabric Mirroring samples and guidance
| Month | Feature | Learn more |
|---|---|---|
| May 2025 | Mirroring in Microsoft Fabric explained | Learn more about Fabric Mirroring, when should you use it, and what value does it bring to you and your organization? |
| May 2025 | Mirroring for Azure Database for PostgreSQL in Fabric for effortless analytics on transactional data | You can use Mirroring for Azure Database for PostgreSQL in Microsoft Fabric to replicate PostgreSQL data for analytics in Fabric. |
| May 2025 | Accelerate AI on Oracle databases with Open Mirroring, Fabric Data Agent, and Microsoft Foundry | Accelerate AI on Oracle databases with Open Mirroring, Fabric Data Agent, and Microsoft Foundry shows how to integrate Oracle databases with Microsoft Fabric and Microsoft Foundry for advanced analytics and AI scenarios. For more information, see Open Mirroring in Fabric. |
Real-Time Intelligence in Microsoft Fabric
This section summarizes archived improvements and features for Real-Time Intelligence in Microsoft Fabric.
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | Azure Monitor to Fabric Eventhouse (Preview) | Azure Monitor to Fabric Eventhouse (Preview) lets you route VM telemetry via Azure Monitor Agent and Data Collection Rules into Eventhouse for schema‑managed ingestion, ad hoc queries, time‑series analytics, and activation. For more information, see Send virtual machine client data to Fabric and Azure Data Explorer (Preview). |
| November 2025 | Fabric Activator integration in Fabric User Data functions (Preview) | Fabric Activator integration with Fabric User Data functions (preview) means you can create functions to process events from any source, including Fabric events and OneLake events. For more information, see Trigger Fabric items. |
| November 2025 | Geospatial Intelligence with Esri's ArcGIS Maps Workload (Preview) | Esri's ArcGIS Maps Workload (Preview) can visualize, analyze, and share geospatial insights with OneLake integration, Spark‑based processing, Power BI embedding, and smart mapping features. For more information, see Microsoft Fabric Workload Hub. To get started, Create a map (preview). |
| November 2025 | Eventstream Activator destination (Generally Available) | Fabric Eventstream supports the Activator destination for processing and transforming events with business requirements before routing the events to the destination. With Eventstream Activator destination, you can detect important patterns in your live data and trigger the right action automatically—no code required. |
| November 2025 | Fabric Capacity overview events in Real-Time Hub (Preview) | Fabric Capacity Events in Real-Time Hub (Preview) adds real-time capacity summary and state events so you monitor health, detect throttling, and trigger actions using Activator, Eventstream, and dashboards. |
| November 2025 | Maps in Real-Time Intelligence (Preview) | Maps in Microsoft Fabric combine spatial context, real-time data, and your own imagery files, such as Cloud Optimized GeoTIFF (COG) and Raster PMTiles, in addition to vector spatial formats. Data labeling settings are also now available for all geometry types—points, lines, and polygons—reflecting your feedback. To get started, Create a map (preview). |
| November 2025 | Eventstream supports sourcing events with schema from an EventHub Source (Preview) | Fabric Eventstream now supports sourcing events from an EventHub source while enforcing schema on the payloads. |
| November 2025 | MongoDB CDC Eventstream source | Fabric Eventstream now supports MongoDB Change Data Capture (CDC) as a fully managed connector. To get started, see Add MongoDB CDC source to an eventstream (preview). |
| November 2025 | Entity diagram in Eventhouse KQL database (Preview) | Entity diagram in Eventhouse KQL database (Preview) adds a visual entity diagram for exploring tables, relationships, data flow, and schema violations in Eventhouse KQL databases. For more information, see View an entity diagram in KQL database (preview). |
| October 2025 | Eventhouse Endpoint for Lakehouse | The Eventhouse Endpoint for Lakehouse enables fast real-time querying and advanced analytics on Lakehouse tables using the Eventhouse endpoint. For more information, see Eventhouse overview. |
| September 2025 | Azure Monitor Logs Integration in Fabric via Eventstream | Azure Monitor Logs integration in Fabric via Eventstream enables streaming Azure Monitor Logs into Fabric for real-time analytics and operational insights. For more information, see Stream Azure diagnostic logs and metrics data into Microsoft Fabric. |
| September 2025 | Azure Diagnostics source in Real-Time hub | Using Fabric Real-Time hub, you can stream diagnostic logs and metrics from Azure resources into Microsoft Fabric for real-time data processing and analysis. |
| September 2025 | Eventhouse endpoint for a Lakehouse | Use the Eventhouse endpoint for a Lakehouse to query lakehouse data, discover real-time insights across your data estate, and streamline analysis of structured, semi-structured, and unstructured data. |
| September 2025 | Maps in Fabric | You can now easily Create a map to bring geospatial insights. Users can ingest location data from a Lakehouse or Eventhouse, visualize it instantly, and build map-centric applications without specialized knowledge or writing code. |
| September 2025 | Anomaly detection (Preview) | With a no-code interface, automatic model selection, and flexible alerts, tracking changes and unexpected events is easy with Anomaly detection in Real-Time Intelligence (Preview). |
| September 2025 | Schema Registry (Preview) | Event Schema Registry (preview) provides a contract-based way to define and validate event schemas in Fabric Eventstreams for type-safe, reliable real-time pipelines. For more information, see Schema Registry overview. |
| July 2025 | Pass Parameter Values to Fabric Items (Preview) | Activator enables you to automatically activate Fabric items like pipelines and notebooks whenever certain data conditions are met. You can not only activate and execute Fabric items but also pass values to the parameters defined in your Fabric items. |
| July 2025 | Confluent Schema Registry Support in Eventstream (Preview) | Eventstream's Confluent Cloud for Apache Kafka streaming connector now supports decoding data from topics associated with a data contract in Confluent Schema Registry, enabling seamless ingestion, preview, and routing of schema-encoded streaming data in Fabric Real-Time Intelligence. For more information, see Add Confluent Cloud for Apache Kafka source to an eventstream. |
| July 2025 | Multiple-Schema Inferencing in Eventstream (Preview) | Multiple-schema inferencing in Eventstream lets you work with multiple data sources that emit varying schemas by inferring and managing multiple schemas simultaneously. For more information, see Enhancing Data Transformation Flexibility with Multiple-Schema Inferencing in Eventstream (Preview). |
| July 2025 | SQL Operator under Fabric Eventstream (Preview) | The new SQL Operator enables real-time data transformation with the flexibility and control to craft custom transformations using custom SQL syntax. To get started, see Process events using SQL code editor (preview). |
| June 2025 | Secure Data Streaming with Managed Private Endpoints in Fabric Eventstream GA | By creating a Fabric Managed Private Endpoint in Fabric Eventstream (now generally available), you can now securely connect Eventstream to your Azure services, such as Azure Event Hubs or IoT Hub, within a private network or behind a firewall. For more information, see Secure Data Streaming with Managed Private Endpoints in Fabric Eventstream (preview). |
| June 2025 | MCP Support for Real-Time Intelligence (preview) | Model Context Protocol (MCP) is now supported for Real-Time Intelligence. The open-source MCP server enables AI agents or AI applications to interact with Fabric Real-Time Intelligence by providing tools through the MCP interface, allowing for seamless data querying and analysis capabilities. |
| June 2025 | Eventhouse no-code table creation and editing | Eventhouse no-code table creation and editing allows you to define a table's structure by specifying the columns and data types – no sample data, no complex KQL queries, and no technical expertise required. For more information, see Edit a table schema. |
| May 2025 | Introducing FinOps Toolkit | The new FinOps Toolkit in Fabric provides tools for financial operations and cost management in Fabric. For more information, see FinOps Toolkit in Fabric on GitHub. |
| May 2025 | Fabric Eventstream derived streams in Direct Ingestion mode (preview) | You can ingest data from Fabric Eventstream to Eventhouse seamlessly either from an eventstream or using Eventhouse Get Data Wizard. This capability is now being extended to support Eventstream Derived streams in direct ingestion mode. For more information, see Fabric Eventhouse now supports Eventstream Derived Streams in Direct Ingestion mode (preview). |
| May 2025 | Semantic model refresh activity | Use the Semantic model refresh activity to refresh a Power BI Dataset, the most effective way to refresh your Fabric semantic models. For more information, see Semantic Model Refresh Activity (Generally Available). |
| May 2025 | Eventhouse Query Acceleration for OneLake Shortcuts | Query Acceleration for OneLake Shortcuts in Eventhouse speeds up ad hoc queries over data in OneLake. OneLake shortcuts are references from an Eventhouse that point to internal Fabric or external sources. Previously, queries run over OneLake shortcuts were less performant than on data that is ingested directly to Eventhouses due to various factors. For more information, see Query acceleration for OneLake shortcuts - overview. |
| May 2025 | New OpenAI plugins for Eventhouse (preview) | You can now use two powerful AI plugins for Eventhouse: AI Embed Text Plugin and AI Chat Completion Prompt Plugin. Connect Eventhouse data to OpenAI-powered applications for advanced analytics and AI scenarios. For more information, see ai_embed_text (preview) and ai_chat_completion (preview). |
| May 2025 | Continuous ingestion from Azure Storage to Eventhouse (preview) | You can now use continuous ingestion from Azure Storage to Eventhouse (preview) to automatically and efficiently ingest data from Azure Storage into Eventhouse. For more information, see Get data from Azure Storage. |
| May 2025 | Activator as an Orchestrator of the Fabric Event Driven flows | Activator as an Orchestrator of the Fabric Event Driven flows allows users to automate actions based on real-time events in Microsoft Fabric. For more information, see Tutorial: Create and activate an Activator rule. |
| May 2025 | Digital twin builder (preview) | Digital twin builder (preview) is a new item within the Real-Time Intelligence workload. Digital twins create data-driven, real-time representations of entities. It's a data modeling item that creates digital representations of real-world environments, to optimize physical operations using data. For more information, see What is digital twin builder (preview)?. |
| April 2025 | Microsoft Purview Data Loss Prevention policies for Fabric | Microsoft Purview's Data Loss Prevention (DLP) policies now support Fabric KQL and mirrored databases. Using DLP policies, security admins are able to define policies which scan data uploaded to KQL DBs or Mirrored DBs (including Snowflake, Azure, and more). |
| April 2025 | Permission model changes for OneLake events in Fabric Real-Time Hub | Users with the new SubscribeOneLakeEvents permission are now able to subscribe to OneLake events. For more information, see Announcing permission model changes for OneLake events in Fabric Real-Time Hub. |
| April 2025 | New Eventstream sources | Read more about the new Eventstream sources now available, including MQTT, Solace PubSub+, Azure Data Explorer, Weather, and Azure Event Grid. |
| April 2025 | CI/CD and REST APIs for Fabric Eventstream | Eventstream CI/CD and REST APIs are now generally available. You can programmatically create, manage, and update Eventstream items. For more information, see Eventstream CI/CD and Fabric REST APIs for Eventstream. |
| April 2025 | Azure and Fabric Events | With Azure and Fabric Events, you can integrate event-driven solutions into workflows. Azure and Fabric Events allow you to ingest system events like OneLake events and Azure Blob Storage events, and deliver those events to consumers in Microsoft Fabric like Activator. |
| April 2025 | Synapse Data Explorer to Eventhouse migration tooling (preview) | The next generation of Azure Synapse Data Explorer offering is evolving to become Eventhouse. To get started, see Migrate from Azure Synapse Data Explorer to Fabric Eventhouse (preview). |
| March 2025 | Solace PubSub+ Connector | Seamlessly connect Fabric Eventstream with Solace PubSub+ (preview). For more information and steps to get started, see New Solace PubSub+ Connector: seamlessly connect Fabric Eventstream with Solace PubSub+ (preview). |
| March 2025 | Unlock the power of Real-time Intelligence in the Era of AI | Read more about why Fabric Real-Time Intelligence is a game-changer. |
| March 2025 | New sources for Fabric event streams | The following new event sources are supported for Fabric event streams: MQTT, Real-time weather, Azure Data Explorer, Solace PubSub+, Azure Event Grid namespace. The following event sets are added as sample data sources: Buses, S&P 500 companies stocks. |
| February 2025 | Configure latency of Eventhouse OneLake | Eventhouse's adaptive mechanism can delay writing operations if there isn't enough data to create optimal Parquet files. This delay is now configurable. For more information, see Eventhouse OneLake Availability. |
| February 2025 | Real-Time Dashboard & Power BI templates for Eventhouse Monitoring | Real-Time Dashboard and Power BI Templates designed to provide an out-of-the-box graphical management experience. With these templates you can easily monitor your query performance and data ingestions. You can enable workspace monitoring, download the templates, and view a demo in the fabric-toolbox GitHub repository. |
| February 2025 | New Real-Time Dashboard customization features | New customization features give real-time dashboard authors and viewers more control over visuals, layout, and performance, including more control, better usability, and improved performance. |
| February 2025 | New and improved Data Source Tree in KQL Queryset | The enhanced Data Source Tree now shows all other data sources previously connected in your Queryset, including Fabric (Eventhouse/KQL database) and Azure sources (Azure Data Explorer, Application Insights, Log Analytics clusters). |
| February 2025 | Data exploration is now available for raw KQL table data | We've made it even easier to explore your data – no code required – with the Explore Data feature, now available in additional places across the user interface. |
| February 2025 | Eventhouse OneLake availability migration | A system migration for OneLake Availability is occurring starting April 9, 2025. This won't have any effect on accessing the data within your Eventhouse, it will only affect the delta parquet files made available via the OneLake Availability feature. |
| January 2025 | Real-time intelligence ALM and REST API GA | Application Lifecycle Management (ALM) and Fabric REST APIs are now generally available for all RTI items: Eventstream, Eventhouse, KQL Database, Realtime dashboard, Query set and Data Activator. ALM includes both deployment pipelines and Git integration. REST APIs allow you to programmatically create / read / update / delete items. |
Real-Time Intelligence samples and guidance
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | Introducing the HTTP and MongoDB CDC Connectors for Eventstream | HTTP and MongoDB CDC connectors for Eventstream add a no‑code HTTP source and a MongoDB CDC source, so you can stream public APIs and database changes into Real‑Time Intelligence. For more information, see Add HTTP source to an eventstream and Add MongoDB CDC source to an eventstream. |
| November 2025 | Copilot assisted real time data exploration (Preview) | Copilot assisted real time data exploration (Preview) lets you ask natural‑language questions about live Real‑Time Dashboard tiles and KQL tables, refine visuals, and save insights without writing queries. |
| November 2025 | Improving operational efficiency with operations agents in Real-Time Intelligence | Operations agents in Real-Time Intelligence can monitor Eventhouse data, infer goals, and recommend actions via Teams with Power Automate integrations to keep you in the loop while automating when desired. |
| July 2025 | From Signals to Insights: Building a Real-Time Streaming Data Platform with Fabric Eventstream | Learn how Contoso uses MQTT sensors, public weather feeds, and Fabric Real-Time Intelligence to monitor smart buildings. |
| July 2025 | Ingest Logs using Logstash into Real-Time Intelligence | Logstash is an open-source data processing tool that enables the collection, transformation, and forwarding of data from a wide variety of sources. Learn how to Ingest Logs using Logstash into Real-Time Intelligence. |
| July 2025 | ML model scoring in Fabric Eventhouse via update policy (preview) | Learn how to accomplish ML model scoring using Eventstream, Eventhouse, OneLake, Spark notebooks, KQL querysets, and update policies. |
| May 2025 | Efficient JSON loading to Eventhouse | In this blog, review options to design efficient JSON loading to Eventhouse. |
| April 2025 | Medallion Architecture in Fabric Real-Time Intelligence | Blog: Medallion Architecture in Fabric Real-Time Intelligence introduces how to implement the Medallion architecture pattern for real-time data processing in Microsoft Fabric. |
| April 2025 | Understanding Real-Time Intelligence CDC connector for PostgreSQL database | Understand important points to keep in mind when using PostgreSQL database CDC in Fabric Eventstream. |
| April 2025 | Implementing proactive monitoring with KQL query alerts with Activator | Within an Eventhouse and Eventstream, stream real-time data into your KQL database and set alerts on KQL queries. For an example of the fictional Constoso Retailers company, see Implementing proactive monitoring with KQL query alerts with Activator. |
| April 2025 | Seamlessly connect Azure Logic Apps to Fabric Eventstream using Managed Identity | Compare Microsoft Entra ID and SAS Keys auth in Fabric Eventstream, explore use cases, and walk through how to connect Azure Logic Apps to Eventstream using managed identity authentication. |
| February 2025 | Operational Reporting with Microsoft Fabric Real-Time Intelligence | This architecture blog details how you can report faster than a typical modern data warehouse with Fabric Real-Time Intelligence. |
| February 2025 | Real-Time Intelligence End-to-End Sample | As a demonstration of an RTI end-to-end scenario, we've created Fabric Notebook that can deploy this in a matter of minutes. For more information, see RTI End-to-End Sample. |
| February 2025 | Template dashboards for Workspace Monitoring | Ready-to-use Power BI and real-time dashboard template reports are available for workspace monitoring in Microsoft Fabric. |
| January 2025 | Efficient log management with Microsoft Fabric | For a tutorial and walkthrough of efficient log files collection processing and analysis with Real-Time Intelligence, read this new blog post on Efficient log management with Microsoft Fabric. |
Continuous Integration/Continuous Delivery (CI/CD) in Microsoft Fabric
This section includes guidance and documentation updates on development process, tools, and versioning in the Microsoft Fabric workspace.
| Month | Feature | Learn more |
|---|---|---|
| September 2025 | Variable library (Generally Available) | The Variable library allows you to define and manage variables at the workspace level, so you can use them across various workspace items, such as pipelines, notebooks, Shortcut for lakehouse, and more. You can also Use variable libraries in CI/CD for Dataflow Gen 2 and Copy Job. |
| August 2025 | Multiple Scheduler and CI/CD Support | Multiple Scheduler support in Fabric allows you to configure up to 20 schedulers per item, each with its own schedule, and adds CI/CD support for managing scheduler deployments at scale. For more information, see Choose the best Fabric CI/CD workflow option for you. |
| April 2025 | CI/CD support OneLake shortcuts | OneLake shortcuts now support batch creation via the API and management with CI/CD. |
| April 2025 | CI/CD and REST APIs for Fabric Eventstream | Eventstream CI/CD and REST APIs are now generally available. You can programmatically create, manage, and update Eventstream items. For more information, see Eventstream CI/CD and Fabric REST APIs for Eventstream. |
| February 2025 | Fabric CI/CD Python library Deployment Tool | The Fabric CI/CD Python library fabric-cicd is an open-source solution based on our experience using Fabric as the backbone of our platform. |
Continuous Integration/Continuous Delivery (CI/CD) samples
| Month | Feature | Learn more |
|---|---|---|
| April 2025 | Optimizing for CI/CD in Microsoft Fabric | Learn about Fabric CI/CD strategy, how to implement it, how to scale it, and more item-specific tips in this blog post, Optimizing for CI/CD in Microsoft Fabric. |
Fabric IQ
This section summarizes archived improvements and features for the new Fabric IQ (preview) workload.
| Month | Feature | Learn more |
|---|---|---|
| November 2025 | Ontology (preview) item | The ontology (preview) item lets you define entity types, relationships, properties, and other constraints to organize data according to your business vocabulary. For more information, see What is ontology (preview)?. |
| November 2025 | Introducing Fabric IQ | Fabric IQ, a new semantic foundation within Microsoft Fabric. Fabric IQ isn't a replacement for your data estate; it's a force multiplier for every investment you've already made. For more information, see Fabric IQ: The Semantic Foundation for Enterprise AI and From Data Platform to Intelligence Platform: Introducing Microsoft Fabric IQ. |
| October 2025 | Graph in Microsoft Fabric (Preview) | Graph in Microsoft Fabric is now in preview, providing native graph data management, analytics, and visualization capabilities. For more information, see Graph documentation. |
Related content
- Modernization Best Practices and Reusable Assets Blog
- Azure Data Explorer Blog
- Get started with Microsoft Fabric
- Microsoft Training Learning Paths for Fabric
- End-to-end tutorials in Microsoft Fabric
- Fabric Known Issues
- Microsoft Fabric Blog
- Microsoft Fabric terminology
- What's new in Power BI?
- What's new in Microsoft Fabric?