Announcements from the Microsoft Fabric Community Conference — Barcelona 2026

Microsoft shared a broad set of Fabric, Power BI, and SQL updates at FabCon and SQLCon Barcelona 2026, with approximately 5,000 attendees at the conference. I’ve tried to make this a fairly exhaustive roundup of the major announcements and relevant recent releases, drawing from the keynotes and accompanying product announcements, but it does not include every feature or update announced at the conference. Here are the ones I think are most important and most likely to be of interest to readers. Additional info

The announcements span three connected themes: preparing the data estate for AI, curating business context with Fabric IQ, and putting that context into action through Copilot, agents, and applications.

This roundup includes conference announcements and recent releases highlighted alongside them. Availability labels distinguish GA, public preview, private preview, and forthcoming capabilities. Where component-level release statements differ between the keynotes and product documentation, those differences are noted.

As you’ll see, there are a TON of announcements, so I’ve first grouped them by availability—Generally Available, Public Preview/Coming Soon, and Private Preview/Sneak Peeks—and then by topic, such as Power BI and Fabric IQ, Data Factory and mirroring, OneLake, Data Engineering, capacity and governance, Real-Time Intelligence, and SQL. Within each group, I’ve ordered the announcements based on what I think will be most important to readers. My favorite new features are: Fabric IQ in Microsoft Copilot Chat and Cowork, IQ Sharing in Fabric, Agentic data engineering with Osmos, On-demand billing and F0 capacity, Policies in Fabric, the new unified Copilot in Fabric, and Modern Report Builder.

The Future of Fabric and Power BI

What stands out to me is how many of these announcements point in the same direction: Fabric is moving from “write all the code yourself” toward “describe the outcome, set the guardrails, and let AI do more of the implementation and operations.” The clearest examples are the new unified Copilot in Fabric, Agentic data engineering with Osmos, Modern Report Builder, Power BI Agentic Experiences, Copilot in Real-Time Intelligence, operations agents, database agents, and Build agent with AI.

Instead of manually creating every pipeline, notebook, query, report, application, and troubleshooting workflow, we are increasingly defining what we want to accomplish and letting AI help build, configure, diagnose, optimize, and maintain the solution. This is already extending into Power BI. With Power BI Agentic Experiences, developers can give an agent requirements—or even an example of the desired report—and have AI create or modify semantic models and reports, validate its work, and iterate on the results. At the same time, Modern Report Builder takes this a step further by letting users describe a complete application in natural language and generate an experience that can combine analytics with inputs, writeback, shared state, and operational workflows. Additional info

That raises an interesting question about the future of Power BI itself. As AI takes over more of the report-building work, Power BI users may increasingly start by deciding what kind of experience they actually need: a traditional report for analysis and monitoring, or a purpose-built app that combines analytics with inputs, writeback, workflows, and actions. In other words, the design decision may shift from “How do I build this report?” to “Should this be a report or an application?” AI can then help create whichever experience best fits the business need.

Reports are certainly not going away, but I can see the center of gravity gradually shifting from manually arranging visuals and writing measures toward defining the business outcome and letting AI generate the right experience around it. In some cases that will still be a report; in others it may be an application that helps users not only understand the data, but also enter information, trigger workflows, and take action.

Fabric IQ, IQ Sharing, and Policies in Fabric are important to this shift because they provide the trusted business context, shared knowledge, permissions, and governance these AI experiences need to work safely and accurately. Technical expertise remains critical, but where that expertise is applied is changing—from manually writing every line of code or building every visual to designing the architecture, defining the desired outcome, establishing the guardrails, and validating what the AI produces.

Generally Available (GA)

Power BI, Copilot, and Fabric IQ

Fabric IQ in Microsoft Copilot Chat and Cowork (GA) (more info)

Fabric IQ brings governed Power BI insights into Microsoft Copilot Chat and the Fabric IQ plugin for Copilot Cowork. Both integrations are GA, extending established business metrics into the tools where users already work. Additional info

For example, a sales manager could ask, “Using our Sales Performance report, compare this quarter’s revenue with last quarter by region.” The answer would use the report’s established revenue definitions and the data the manager is permitted to see. In Cowork, the manager could then ask, “Draft an email to my team summarizing those findings”—turning the analysis into a draft communication within the same conversation.

The Cowork experience uses Power BI reports and their underlying semantic models while respecting existing permissions and row-level security. The September announcement also highlights citations, sensitivity labels, and expanded coverage of reports published through organizational apps. Additional info

Microsoft announced these insights without additional AI token costs; normal Copilot/Cowork licensing and applicable usage charges still apply. Integration with the Copilot Code experience is coming through the Frontier program, Microsoft’s opt-in early-access program for evaluating new Copilot agents and AI features before general availability. Administrators control participation, and preview features can change. Additional info

Power BI Agentic Experiences (GA; some underlying components remain in Preview) (more info)

Power BI Agentic Experiences let BI developers delegate report and semantic-model development to AI agents instead of building everything manually. An agent can use your business context, semantic models, team conventions, and Microsoft’s Power BI skills to create or modify models and reports, then validate and refine its own work. Microsoft describes the overall agentic experience as GA, although some of the individual skills and tools that enable it remain in preview.

For example, you could give an agent a requirements document—or even a screenshot of the report layout you want—and ask it to build a sales dashboard. The agent can inspect the semantic model, create or modify DAX measures, build report pages and visuals, apply formatting, validate the report definition, reload the changes in Power BI Desktop, capture screenshots, and iterate based on the results. The workflow shifts the developer toward describing requirements and reviewing the output rather than manually building every visual and measure. Additional info

Under the covers, this combines Power BI agent skills with tools such as the Power BI Authoring MCP server and Power BI Desktop Bridge. Microsoft’s report-authoring skill can create and modify PBIR reports, while the semantic-model skill can work with tables, relationships, measures, DAX, deployment, and optimization. Some of these individual capabilities are still labeled Preview even though Microsoft’s September Power BI announcement labels the broader Power BI Agentic Experiences as Generally Available. Additional info

Fabric IQ MCP endpoint (GA) (more info)

The Fabric IQ Model Context Protocol endpoint makes trusted Power BI insights available to agent-building experiences outside the Fabric interface. This is a conversational consumption capability, distinct from the authoring MCP servers used to create or modify semantic models.

Planning in Fabric—planning and semantic-model integration (GA) (more info)

Planning brings budgets, forecasts, and scenarios into Fabric’s shared business context. The core product became GA in July 2026, rather than first launching at Barcelona.

The keynote identifies semantic-model writeback, plan-driven event triggers, a new measure model for driver-based planning, and multi-driver/multi-measure simulations as GA. Planning’s writeback is a specific capability—not a statement that every semantic-model connector supports writes. The new Native Planning Engine and certain tenant controls have separate preview status.

Fabric data agents in Copilot Studio and interactive visualizations (GA) (more info)

Fabric data agents in Copilot Studio and interactive visualizations for data agents are GA. Fabric data agents in Microsoft Copilot Chat are a different integration, shown separately as a sneak peek.

Power BI developer mode, authoring plugin, and project formats (GA) (more info)

Developer mode and the Power BI authoring plugin are GA. Power BI Projects—PBIP—and the enhanced report format—PBIR—support treating reports and semantic models as version-controlled development assets. Additional info

PBIR is now the default report format. Editing and saving a PBIR-Legacy report automatically converts it to PBIR; Microsoft documents backup and restoration behavior. This is an operational change for existing reports, not just a new option for developers.

Org Apps, Restrict from Copilot, and enhanced Power BI governance (GA) (more info)

Additional GA announcements include Org Apps, Restrict from Copilot, and enhanced governance for Power BI in Fabric IQ. These expand the distribution and governance capabilities surrounding Power BI content and its use in AI experiences.

Local Power BI Authoring MCP server (GA) (more info)

The local authoring server lets agents create and change semantic models, including models open in Power BI Desktop and PBIP/TMDL files on the local machine. Its hosted counterpart is separately in preview. Model-authoring capabilities should not be confused with the Fabric IQ endpoint for answering business questions.

Larger table-visual Excel exports (GA) (more info)

Table visuals using Data with current layout can export up to 500,000 rows. This is not a universal limit for every export mode.

Data Factory, Mirroring, and Connectivity

Data transformation with dbt jobs (GA) (more info)

Managed dbt jobs let teams build, test, and run transformations within Fabric alongside notebooks and pipelines, without a local CLI setup. The keynote lists Fusion engine support as coming soon; the Data Factory article calls the forthcoming support dbt Core v2, previously known as Fusion. That future engine support is separate from GA dbt jobs.

Extended mirroring—Change Data Feeds (GA) (more info)

Change Data Feeds expose inserts, updates, and deletes so downstream processing can consume changes incrementally. Logical view replication and Snowflake security-role replication are addressed separately because their component-specific release statements differ between sources.

Mirroring for Google BigQuery (GA) (more info)

BigQuery mirroring continuously replicates data into OneLake, where a mirrored database and SQL analytics endpoint make it available to Fabric workloads. It removes the need to maintain a custom ingestion pipeline, but it is not zero-copy access through a shortcut.

Copy Job and pipeline automation enhancements (GA) (more info)

GA additions include change data capture and audit columns in Copy Job, event-driven Copy Jobs with Fabric Activator, smart retry for pipeline activities, a Lakehouse Maintenance activity, and service principal and workspace identity support for the Outlook activity.

SharePoint Lists mirroring and SharePoint/OneDrive source support (GA) (more info)

SharePoint Lists mirroring brings business-maintained list data into OneLake. The keynote also places SharePoint + OneDrive in the GA group for shortcut and mirror sources. These related announcements should not be reduced to lists alone—or interpreted as saying that all SharePoint and OneDrive content uses the same mirroring mechanism. Additional info

ADBC driver transition for supported connectors (GA availability; phased transition) (more info)

Supported connections can adopt Apache Arrow Database Connectivity—ADBC—drivers through per-connection selection and administrative controls. This does not automatically replace every ODBC connection: the transition concerns specified embedded drivers, and controls are being enabled in phases.

OneLake and Ecosystem Integrations

OneLake shortcut performance and storage lifecycle improvements (GA) (more info)

OneLake’s GA announcements include performance upgrades for Dataverse and SharePoint shortcuts and storage lifecycle policies. Microsoft also identifies production support for storing Databricks data in OneLake—a storage-interoperability capability, not an announcement that Databricks compute becomes a native Fabric workload.

Atlan native Fabric connector (GA) (more info)

Atlan’s native Fabric connector is GA. This is a connector-specific release statement, not one availability label for every Atlan-related investment or future integration.

Data Engineering and Data Warehouse

Fabric Runtime 2.0 (GA) (more info)

Fabric Runtime 2.0 brings together Apache Spark 4.1, Delta Lake 4.2, and Python 3.13, with an enhanced native execution engine. Availability does not mean every existing workspace has automatically migrated; runtime adoption should still be configured and tested.

The keynote repeats a TPC-DS 1 TB comparison showing the native execution engine at up to 6× the performance of open-source Spark. The chart’s 6× bar is labeled December 2025; it is not evidence that upgrading to Runtime 2.0 itself creates a new sixfold improvement. Additional info

Custom live pools and materialized lake views (GA) (more info)

Custom live pools and materialized lake views are GA. The underlying materialized lake views feature remains separate from the newer optimal-refresh support for updates and deletes, which is covered in the preview section. Additional info

Result-set caching (GA release listing) (more info)

Result-set caching reuses results from eligible repeated SELECT queries in warehouses and lakehouse SQL analytics endpoints. It is enabled by default, subject to eligibility rules and invalidation when relevant data changes. This is separate from the warehouse’s preview cache-cooldown capability.

SQL query editor productivity improvements (GA) (more info)

The GA improvements include a faster results grid, improved object exploration and IntelliSense, autosave controls, bulk query management, and .sql import/export. These are separate from the keynote’s preview data profiles, visual schema design, and interactive query-result charts. Additional info

Capacity and Platform Management

Unified capacity management and larger capacity options (GA components) (more info)

The keynote brings capacity signals, alerts, surge protection, and overage together as unified capacity management. Its individual components have different rollout stages, detailed below.

The new F4096 and F8192 capacity SKUs are GA, expanding options for sustained, demanding workloads.

Capacity overage (GA) (more info)

Capacity overage bills eligible excess consumption to help prevent throttling during temporary overloads. The rate is three times the pay-as-you-go rate, applied to relevant excess CU hours—not all capacity usage. It does not increase the SKU’s underlying resources, and its rolling spending threshold is not a hard spending cap.

Capacity Metrics app enhancements (GA) (more info)

The Metrics app adds health-state duration, CU-per-second analysis, daily/hourly heatmaps, top-contributor views, and chargeback integration. These analytical capabilities complement the preview operational controls in Capacity Insights & Actions. Additional info

Capacity overview events (GA) (more info)

Capacity overview events bring capacity signals into Real-Time hub for monitoring and alerting, including Eventhouse and Activator workflows. The newer, more detailed capacity operation events have separate preview status.

Developer Tools, Governance, and Security

Git integration and bulk item-definition APIs (GA) (more info)

Compare and commit, selective branching, branched workspaces, and bulk import/export APIs are GA. They support reviewing changes, isolating development work, and moving item definitions through automated workflows. File-level commits and delegated branch-workspace administration have separate preview labels.

OneLake network protection and data-loss-prevention controls (GA, with scope-specific differences) (more info)

The keynote lists DLP restrict access, inbound network protection to OneLake, and outbound network protection as GA.

The product announcement distinguishes outbound protection for shortcuts—GA—from maps and operations agents—Preview. Additional info

Fabric MCP, CLI, and Terraform enhancements (GA) (more info)

The developer announcements include Fabric Remote MCP, Fabric Local MCP support for Data Factory and extended OneLake tools, and Fabric CLI enhancements for Azure sign-in, cross-workspace search, and bulk deployment. The Fabric Terraform Provider adds security and audit resources.

Expanded Fabric REST API quotas (GA announcement) (more info)

The documented model uses independent per-identity limits: 500 calls/minute for Platform APIs, 200 calls/minute for Job Scheduler APIs, and 500 calls/minute for Long-Running Operations APIs. Endpoint-specific limits can also apply; the keynote’s 500-calls-per-minute headline is not a universal allowance for every endpoint.

Networking Communication Policies Admin API (GA) (more info)

This API provides a tenant-wide, paginated inventory of workspace inbound and outbound networking policies, supporting centralized inspection and administration.

Real-Time Intelligence

Eventhouse accelerated shortcuts, inline transforms, and self-optimization (GA) (more info)

Eventhouse enhancements include accelerated shortcuts over OneLake Delta tables, inline transformations through update policies, and a self-optimizing engine that adjusts schema, storage, and caching using query patterns. These are separate from preview Copilot authoring and administration capabilities.

Business events in Real-Time hub (GA) (more info)

Business events provide reusable schemas for turning business moments into streaming signals. Events can be emitted across Fabric and trigger actions through Activator. The announcement also includes live event-flow previews and sample publishing for validation.

Additional Real-Time Intelligence capabilities (GA) (more info)

The keynote lists GA for MongoDB and Salesforce CDC connectors, stream processing of mirrored database change feeds, Copilot data exploration, the Eventhouse capacity planner, and Eventhouse entity diagrams.

SQL and Azure Databases

DiskANN vector indexes and search (GA) (more info)

DiskANN vector indexes are GA for Azure SQL Database Hyperscale, Azure SQL Managed Instance, and SQL database in Fabric. The SQL keynote also highlights vector compression and full data-modification support, keeping indexes maintained as data is inserted, updated, and deleted. Additional info

SSMS Agent Mode and SQL developer tools (GA) (more info)

GitHub Copilot Agent Mode in SSMS supports multistep agentic workflows. Additional GA announcements include vector and JSON support in Data API builder, Schema Compare and SQL Projects in SSMS, and SQL Formatter in SSMS and Visual Studio Code.

SQL Server on Azure Local, including disconnected operations (GA) (more info)

SQL Server on Azure Local supports connected and disconnected operations. The SQL keynote distinguishes Azure-connected management from a local appliance-VM control plane for disconnected environments, while infrastructure and data services remain local.

Larger Azure SQL Database Hyperscale compute options (GA) (more info)

The 160- and 192-vCore Premium-series service objectives are GA, providing more compute headroom for demanding workloads. These larger sizes are separate from the serverless auto-pause and higher-density elastic-pool previews.

Automatic index compaction in Azure SQL Database (GA) (more info)

The SQL keynote identifies automatic index compaction as GA, presenting it as hands-free index maintenance. This is separate from vector indexing and the larger Hyperscale compute options.

Public Preview / Coming Soon

Power BI, Fabric IQ, and Applications

Fabric IQ ontologies—Unified Semantic Modeling enhancements (Public preview) (more info)

Microsoft is expanding unified semantic modeling through Fabric IQ ontologies, bringing together operational, analytical, and business context. Ontologies provide a shared understanding of business concepts—such as customers, products, orders, and locations—and their relationships, allowing reports, applications, and AI agents to use consistent business definitions.

A key advancement is the ability to reuse existing Power BI semantic model definitions, including DAX measures and calculated columns, rather than recreating business logic. Ontologies can also connect to Fabric data sources through simplified bindings, including OneLake shortcuts and mirrored databases. This enables context-rich querying without copying the underlying data.

The updated experience introduces AI-powered ontology creation, allowing users to describe business concepts in natural language and have an AI agent help create, manage, query, and validate ontologies. The agent is grounded in Fabric data, existing semantic models, and business documents. Importantly, it follows a proposal-first approach: users review and approve recommended changes before they are applied. Natural-language business rules provide additional context, such as identifying at-risk customers or low inventory. Additional info

For example, a retailer could connect Customers, Products, Stores, Orders, and Inventory across multiple data sources, reuse an existing Power BI Revenue measure, and define business rules for declining sales and low inventory. An AI agent could then answer questions such as “Which stores have declining sales and products at risk of running out of stock?” using this shared business context.

Additional modeling enhancements include relationships without dedicated join tables, keyless bindings, complex relationships, reusable properties, inheritance, and namespaces. Overview and Instances views simplify exploration, while version history and RDF/OWL import and export support management and interoperability.

For developers, public REST APIs, SDKs, and MCP endpoints enable programmatic creation, management, and querying of ontologies. Integration with Git and CI/CD workflows also makes it easier to manage ontology development and deployments alongside other Fabric assets.

Rather than replacing Power BI semantic models, unified semantic modeling builds on their definitions and connects them with broader operational data and business relationships. The result is a reusable business-context layer that helps AI agents and applications understand not just what the data contains, but what it means to the business.

Fabric Apps enhancements (Public preview) (more info)

Fabric Apps brings data, functions, storage, and hosting together, extending Microsoft Entra identity and Fabric permissions to applications. Microsoft also announces built-in monitoring of app usage, health, and performance.

The broader announcement adds connections to Fabric SQL databases, warehouses, lakehouse SQL analytics endpoints, and semantic models, plus PostgreSQL support, backend functions, secure credential storage, file storage, a Universal App template, and a GitHub Copilot plugin. OneLake-integrated application storage is forthcoming, separate from the existing application file-storage capability.

Writeback remains connector-specific: warehouse and Fabric SQL database connections support writes; lakehouse SQL analytics endpoints and semantic-model connections are read-only/query-only. This does not negate Planning’s separately announced semantic-model writeback capability. Additional info · Additional info

Fabric data agent enhancements and observability (Public preview) (more info)

The announcement includes deeper Fabric IQ ontology integration, deep thinking mode, unstructured-data support, date and time awareness, User Data Functions as tools, and a consumer-to-creator feedback loop.

A standout addition is Build agent with AI, which reduces the amount of manual configuration needed to create a data agent. Instead of hand-writing all the instructions, descriptions, and example queries, creators can describe what the agent should accomplish and let AI recommend the configuration, then review and refine it. Additional info

For example, you could tell it to build a sales agent that answers questions about customers, opportunities, and regional performance. It can use available schema and supporting business context—such as semantic models, documentation, glossaries, and data dictionaries—to help generate better instructions and examples. Microsoft also identifies observability and monitoring for data agents as Preview. Additional info

Microsoft 365 Copilot inside Power BI and Fabric (Public preview) (more info)

Microsoft 365 Copilot is being embedded inside Power BI and Fabric, with shared conversation history. The initial, licensed preview is off by default.

Hosted Power BI Authoring MCP server (Public preview) (more info)

The hosted authoring server lets agents create and modify semantic models in Fabric workspaces without installing local binaries. The local server remains GA and additionally supports local Desktop and PBIP/TMDL scenarios. Both authoring options remain distinct from Fabric IQ’s conversational consumption endpoint.

Native Planning Engine and new tenant controls (Preview) (more info)

The new Native Planning Engine, built on Rust and Apache Arrow with tight OneLake integration, is explicitly in preview in the dedicated announcement. Microsoft advertises up to 10× improvements in performance and scale, not a guaranteed gain for every model. New controls for Planner/Stakeholder session upgrades and capacity-consumption warnings are also preview.

The keynote groups these improvements more broadly under GA Planning. The core product remains GA; that does not make every newly announced component GA.

Power BI modeling enhancements (Preview / Coming soon) (more info)

APPROXIMATEDISTINCTCOUNT expands to Import and Direct Lake in preview. String indexing and full-text indexing, including TEXTCONTAINS and TEXTSIMILARITY, have forthcoming previews.

Power BI reporting, connectivity, and distribution (Mixed availability) (more info)

Previews include the web report ribbon, live visuals in Outlook web and Loop, and Outlook Mail connector. DirectQuery/composite web modeling is announced; Fabric Apps in Org Apps is forthcoming.

Data Factory, Mirroring, and Connectivity

Copy Job integration with Eventstreams (Public preview) (more info)

This integration bridges batch and streaming in both directions. Supported Copy Job sources can feed an Eventstream, while Eventstream data can be routed into supported Copy Job destinations. The keynote also highlights no-code event-driven applications built on change feeds.

Snowflake Security Roles Replication (Public preview in the OneLake article; GA grouping in the keynote) (more info)

Supported Snowflake roles and permissions can be translated into OneLake security. The OneLake article says Public preview, while the keynote groups the capability under GA. Confirm supported mappings rather than assuming every Snowflake security policy transfers unchanged.

Logical view replication (Preview in feature documentation; GA grouping in the keynote) (more info)

The keynote groups logical view replication under GA extended mirroring, while the feature-specific documentation still labels Snowflake view mirroring Preview. Additional info

The documented implementation executes the source view and materializes its results as a Delta table in OneLake, with 12-hour refreshes and additional compute charges. It does not simply copy a SQL view definition or provide the same freshness as near-real-time table mirroring.

Modern Power Query Editor and reusable transformations (Public preview) (more info)

A Modern Power Query Editor in Power BI Desktop is in public preview—separate from the Modern Report Builder app experience. Other previews include multicloud and citizen-user-friendly destinations, reusable transformations through shared and visual queries, and a Business Actions activity.

Dataflow Gen1-to-Gen2 Upgrade Wizard (Public preview) (more info)

The wizard performs an in-place upgrade while retaining the dataflow’s ID, name, schedule, and connections, with assessment and upgrade reporting. The upgrade cannot be reversed. Review downstream compatibility first; Microsoft documents a Save As alternative when the original Gen1 dataflow needs to be preserved.

Dynamics 365 Business Central mirroring (Public preview announced) (more info)

Business Central mirroring is labeled Public preview in the keynote. The Data Factory article describes rollout as coming soon, bringing selected tables and companies into OneLake.

OneLake, Sharing, and Ecosystem Integrations

IQ Sharing in Fabric (Public preview announced; rollout forthcoming) (more info)

IQ Sharing is designed to distribute governed tables and files together with business context across teams, customers, and partners. Its announced launch scope includes Markdown (.md) agent instructions and RDF (.rdf) ontology files. For example, a retailer could package sales and product tables with a Markdown file explaining how to calculate net revenue and an RDF ontology describing relationships among products, stores, and transactions. These are file-based representations of context; native sharing of Fabric IQ ontology items and Power BI semantic models through IQ Sharing remains on the roadmap. Additional info

Partner announcements describe zero-copy consumption. For example, xMentium says its planned integration will make structured document-extraction results available as zero-copy assets in a customer’s own Fabric workspace. That supports an in-place sharing description for this integration, but does not establish a universal recipient item type, permission-inheritance model, or refresh guarantee for every IQ Sharing path. Additional info

The public preview is forthcoming. Additional info

OneLake APIs, Iceberg interoperability, and hosted MCP (Public preview) (more info)

The preview list includes the Table Read API for secure application and agent access, Apache Iceberg catalog federation, Iceberg Table API writes with credential vending, and hosted MCP for OneLake. Hosted OneLake MCP remains distinct from the Fabric Remote and Local MCP capabilities listed as GA.

Salesforce Data 360 sharing (Public preview) (more info)

The keynote announces Salesforce Data 360 + Microsoft Fabric with bidirectional, zero-copy sharing. Salesforce data is represented in Fabric through a shortcut, distinguishing this integration from database mirroring that physically replicates data.

AVEVA CONNECT, AWS Glue, and Google Lakehouse Catalog integrations (Public preview) (more info)

All three appear in the keynote’s public-preview shortcut and mirror sources group. Google Lakehouse Catalog integration is distinct from BigQuery database mirroring. The announcement does not provide a complete supported-object or security-policy matrix for AVEVA, so its preview designation should not be interpreted as universal support for every AVEVA dataset or policy.

ClickHouse workload in Fabric (Public preview) (more info)

The workload provisions a dedicated ClickHouse Cloud service on Azure with an embedded SQL experience in Fabric. Preview synchronization creates point-in-time copies of selected lakehouse tables from the same workspace. It does not provide scheduled or continuous replication, and it does not currently write back to OneLake. Refreshing the copy requires another synchronization.

Access revocation requires particular care: removing or downgrading someone in Fabric does not reliably revoke their existing ClickHouse Cloud access. For immediate revocation, administrators must remove the user in ClickHouse Cloud. Per-table permission synchronization from OneLake is not supported. This workload is distinct from ClickHouse’s separate OneLake Table API integrations.

Azure Monitor integration (Public preview) (more info)

Azure Monitor integration provides Fabric access to newly arriving Log Analytics data while the underlying data remains in Log Analytics storage. The documented preview is read-only and does not backfill historical data. Azure and Fabric permissions are independent, so source table-, row-, and column-level restrictions should not be assumed to carry into Fabric automatically.

Data Engineering and Data Warehouse

Agentic data engineering with Osmos (Public preview) (more info)

The Fabric data engineering agent, also called Project Osmos, goes beyond generating a notebook or suggesting a code fix. Engineers describe a complete outcome—such as modernizing an ETL process, preparing data for analytics, or tuning an existing lakehouse—along with the source data, expected outputs, and validation criteria. The agent can inspect data, create and execute Spark notebooks, write Delta tables, and refine its approach based on actual results.

For example, a retailer could ask: “Build bronze, silver, and gold layers from our customer, product, and sales files. Preserve the raw inputs, standardize and deduplicate records, create daily-sales summaries, and verify that revenue totals reconcile.” Osmos can plan the steps, generate and run the notebooks, and check row counts, keys, and totals rather than simply returning code for an engineer to execute manually. Additional info

Tasks run persistently in Fabric, so disconnecting a development client or turning off a laptop does not stop the work. Engineers can return to the same task, inspect outputs and errors, and provide further guidance. Authorized collaborators can also monitor progress and contribute context.

Before execution, engineers review settings such as writable destinations, staging versus direct updates, rerun behavior, and permitted schema changes. These settings guide execution, but Fabric and OneLake permissions—not instructions in a prompt—enforce access. Generated artifacts and validation results still require review, and Microsoft identifies the preview as intended for evaluation rather than production use. Additional info

The announced experience spans Fabric, GitHub Copilot, Visual Studio Code, Codex, and Claude Code. The documented preview starts and steers tasks through supported command-line clients, with monitoring in the Fabric lakehouse; direct interaction through Copilot in the Fabric portal is not currently supported. This specialist engineering agent remains separate from the new unified Copilot in Fabric, which was announced in private preview. Additional info · Additional info

GPU-accelerated Fabric Data Warehouse (Public preview) (more info)

GPU acceleration targets high-concurrency, AI-driven analytical workloads, with one-click enablement and monitoring from the warehouse.

Microsoft’s TPC-H 300 GB comparison shows the 7× performance headline at 64 concurrent users against selected alternative warehouses. The accompanying up to 60% lower cost statement cites internal testing in May/September 2026. Competitor configurations are undisclosed; these are workload-specific vendor results, not universal gains or a blanket GPU-versus-CPU comparison.

Optimal refresh for materialized lake view updates and deletes (Public preview) (more info)

This enhancement incrementally processes supported updates and deletes instead of falling back to a full refresh. Refresh hints declare columns that uniquely identify output rows. Fabric does not validate that uniqueness at runtime, so incorrect declarations can produce inconsistent results. This remains separate from the GA core materialized lake views feature.

Additional Data Warehouse improvements (Public preview) (more info)

The warehouse announcements include cache cooldown, richer and friendlier T-SQL, selective and incremental migrations, and agentic monitoring powered by Copilot as public previews. Warehouse CLONE is in Private preview.

Data engineering developer enhancements (Public preview) (more info)

The Analytics keynote adds high-concurrency support in all drivers, pipeline support in Visual Studio Code, and a notebook toolkit for agents to the public-preview list.

SQL query editor—visual authoring enhancements (Public preview) (more info)

New warehouse authoring capabilities include detailed data profiles, visual schema design for tables, columns, and keys, and interactive charts created from query results. These specific previews are separate from the GA editor-productivity improvements listed earlier.

Capacity and Observability

On-demand billing and F0 capacity (Public preview announced; rollout forthcoming) (more info)

F0 is a zero-provisioned entry point to Fabric and OneLake: organizations can get started without first choosing a baseline amount of compute capacity. On-demand billing is enabled by default, so supported workloads use compute as needed and are charged according to consumption. The “zero” refers to compute provisioned in advance—not to the amount of processing available or the price of running it.

Organizations do not have to choose one billing approach for everything. They can combine provisioned or reserved capacity for predictable, ongoing work with on-demand compute for eligible intermittent or spiky workloads. For example, a company could keep regular reporting on provisioned capacity while running occasional Spark data-preparation jobs on demand. Microsoft already documents that Spark configuration; F0 introduces the separate option of starting without baseline compute provisioning. Additional info

An important OneLake implication is that customers will be able to read and write data without maintaining a dedicated, running Fabric capacity simply to access the lake. This makes OneLake more practical as a shared data foundation for external analytical engines and AI applications, rather than tying data access to an always-running Fabric capacity. Additional info

F0 is not unlimited free compute, free storage, or a guarantee of lower costs. Consumption still generates charges, and applicable storage and licensing costs must be considered separately. It could suit experiments and variable demand, but sustained workloads should be compared with provisioned-capacity pricing. Spending and governance controls remain important; specific rates, workload eligibility, limits, and rollout availability should be checked as the preview becomes available. Additional info

Observability in Fabric—unified monitoring (Public preview) (more info)

The refreshed experience brings jobs, workloads, and capacities together, with operations-agent investigations and Activator alerts. Workspace monitoring can consolidate telemetry from multiple workspaces into a shared Eventhouse, with retention, caching, custom endpoints, and public APIs.

Operations agents—investigations, pre-approved actions, and performance monitoring (Public preview) (more info)

Operations agents can investigate issues, identify likely causes, and recommend responses. Pre-approved actions separately let teams define circumstances in which an agent may act without requesting approval each time, while higher-risk actions remain reviewed.

The performance view exposes the agent’s monitoring and reasoning activity, including LLM usage. This monitors the agent itself, not just the business conditions it investigates. The pipeline-investigation experience remains a narrower troubleshooting workflow; it should not be presented as unrestricted automatic repair across Fabric.

Workspace-level surge protection (Preview; GA coming soon in the product announcement) (more info)

Workspace consumption limits help contain excessive usage while allowing exemptions for critical workloads. The keynote groups surge protection under GA unified management, but the detailed announcement says GA coming soon. Additional info

Capacity Insights & Actions and operation events (Public preview) (more info)

Capacity Insights & Actions combines monitoring with surge, overage, workspace-migration, and resizing controls. Operation events add workspace- and item-level detail alongside GA capacity overview events.

Developer Tools, Governance, and Security

OneLake catalog—expanded discovery, search, and governance (GA and Public preview) (more info)

OneLake catalog is becoming the central place in Fabric for finding, understanding, governing, and securing enterprise data. The expanded discovery experience goes beyond Fabric items to let users drill into tables and columns, review descriptions, preview data, and use filters such as domains and tags before deciding whether a dataset is appropriate. These granular discovery capabilities are GA.

For example, an analyst looking for customer data could search the catalog, find a relevant lakehouse or mirrored source, inspect its customer table and columns, preview the data, and review its business context before using it in a report or notebook. Developers can also discover Fabric content from GitHub Copilot CLI through Skills for Fabric, bringing governed data discovery directly into the development workflow. Additional info

Discovery is also expanding outside the Fabric portal. OneLake catalog discovery in Excel is in preview, while Microsoft Foundry integration brings governed enterprise data into AI-development workflows so trusted data can be used with agents and applications.

The OneLake catalog Search API, currently in preview, adds programmatic discovery across Fabric items and supported OneLake tables. This allows applications and agents to search the data estate without maintaining a separate inventory. Additional info

On the governance side, the expanded Govern experience is GA and brings governance insights, recommended actions, and administration of areas such as domains, capacities, workspaces, tags, and policies into a more centralized experience. Additional info

Availability varies by component: granular discovery, expanded Govern, and GitHub Copilot CLI discovery are GA, while the enhanced Search API, Excel integration, and Microsoft Foundry integration remain in preview.

Policies in Fabric (Public preview) (more info)

Policies provide attribute-based controls across Fabric, giving administrators much more precision than broad tenant-wide settings. Rules can evaluate attributes such as the user or group, item type, workspace, and capacity to determine whether an action should be allowed. Initial scenarios include controlling item creation and workspace security, with additional policy types expanding over time. Additional info

For example, an organization could create a policy allowing only members of the Data Engineers group to create Lakehouses, Notebooks, and Data Pipelines in designated production workspaces. Other users—or attempts to create other Fabric item types—could be blocked even if broader tenant settings normally permit creation. This gives organizations more granular governance without eliminating self-service for approved teams. Additional info

Policies are managed centrally through the Policies experience in OneLake Catalog. APIs, monitoring, and CI/CD support also make it possible to manage governance rules more like code—deploying and maintaining them consistently across environments instead of configuring each workspace manually. Additional info

Deployment plans (Public preview) (more info)

Deployment plans define ordered rollouts through a drag-and-drop canvas backed by YAML. Ingestion and validation can become pre- or post-deployment actions, making them part of a repeatable deployment instead of a separate manual checklist.

Additional security and administration capabilities (Public preview) (more info)

The keynote’s preview list includes customer-managed-key operations and administration APIs, workspace-level Private Link for ontologies, and nested security-group support in SQL endpoints. The OneLake access-audit interface’s conflicting release statements are addressed separately below. Additional info

Git integration—file-level commits, delegation, sensitivity labels, and branch switching (Public preview) (more info)

Preview additions include file-level commits, delegated administration of branch workspaces, and sensitivity labels as part of item definitions. Additional info

Contributor branch switching is a separate capability: contributors can switch the connected Git branch when an administrator enables it.

Spark granular runtime lineage (Coming soon) (more info)

Finer-grained Spark runtime lineage will provide more context about how data is used and transformed across the Fabric estate.

FQDN allowlists for outbound-protected Spark workspaces (Public preview coming soon) (more info)

Approved fully qualified domain names will provide another connectivity-control option for outbound-protected Spark workspaces. Preview rollout is forthcoming.

Real-Time Intelligence

Copilot in Real-Time Intelligence (Public preview) (more info)

New experiences support natural-language Real-Time Dashboard creation and Eventhouse administration, including tables, policies, schemas, and cluster inspection. Query-aware schema recommendations and optimization guidance are also announced. These preview authoring and administration features remain separate from GA Copilot data exploration.

Additional streaming, Eventhouse, and Activator capabilities (Public preview) (more info)

The Real-Time Intelligence announcements include custom stream connectors, event handling for non-schematized streams, AI-guided Eventhouse onboarding, and Activator rule management in Real-Time hub. Copy Job batch-source ingestion into Eventstreams is part of the separate batch/stream integration described above.

Fabric Maps in Real-Time Dashboards (Public preview) (more info)

Maps can be pinned into Real-Time Dashboards, combining geographic context with operational metrics. The dashboard references the map rather than copying its configuration; access to the map and its underlying sources still matters.

Databases and Sovereign Cloud

Database Hub in Fabric (Public preview) (more info)

Database Hub combines fleet management, observability, and database-agent experiences. The keynote’s database-family overview includes Azure SQL, SQL Server, Fabric databases, Azure HorizonDB, Azure Database for MySQL, Azure Cosmos DB, Azure DocumentDB, and Azure Database for PostgreSQL. That overview shows the intended breadth—not identical support for every administrative operation across every service.

Database agents for SQL and PostgreSQL (Public preview rolling out) (more info)

Database agents analyze performance and workload health, investigate problems, and prioritize recommendations. Preview is rolling out through Database Hub and Visual Studio Code, with actions subject to role-based access controls, approvals, auditing, and operational safeguards.

The keynote describes the agent cycle as detect, understand, verify, learn, and automate, using database context, skills, tools, and connectors.

Hyperscale serverless auto-pause and higher-density elastic pools (Public preview) (more info)

Serverless auto-pause reduces idle compute consumption by pausing compute during inactivity. Higher-density elastic pools support up to 50 databases per pool. A paused compute state does not eliminate every storage or other service charge.

Azure Arc migration experience for Hyperscale (Public preview) (more info)

An Azure Arc-enabled migration experience supports moving databases from on-premises environments and other clouds to Azure SQL Database Hyperscale. It brings assessment, provisioning, migration, validation, and cutover into a centralized workflow.

Microsoft Fabric for GCC High (Public preview) (more info)

Fabric’s expansion to Microsoft 365 Government Community Cloud High is announced as Public preview. This supports organizations requiring U.S. sovereign-cloud environments; the preview label is not a blanket assertion of every possible compliance authorization.

Foundry Local on Azure Local (Public preview) (more info)

Foundry Local brings model inference to Azure Local infrastructure, including disconnected scenarios. It is a separate preview from GA SQL Server on Azure Local, and deployment access is currently by request.

Microsoft SQL Agent Skills and the MSSQL extension experience (Public preview) (more info)

The SQL developer previews include Microsoft SQL Agent Skills and an updated MSSQL extension welcome page in Visual Studio Code. These are separate from GA SSMS Agent Mode and the other SQL development tools.

Private Preview / Sneak Peeks

The new unified Copilot in Fabric—discover, create, and maintain (Private preview) (more info)

This is a distinct new Copilot experience designed to provide one AI companion across the complete Fabric data lifecycle, rather than requiring users to move among separate workload-specific Copilots. The goal is for Copilot to understand the broader project you are working on—helping you discover relevant data and Fabric assets, create or modify solutions across workloads, and then troubleshoot, optimize, and maintain those solutions over time.

For example, a developer could start by asking Copilot to find the customer and sales data needed for a new analytics solution, then have it help build the ingestion pipeline, create transformations and a semantic model, and prepare the reporting layer. Later, the developer could return to the same project and ask Copilot to investigate a failed pipeline or performance problem without having to completely re-explain the project. The key idea is that Copilot retains project context and history across multistage work rather than treating every prompt as an isolated interaction.

The experience is also designed to follow developers into the tools where they already work. Microsoft says users will be able to work with the same Fabric context from Fabric itself or from supported IDE and command-line experiences. That complements Microsoft’s broader Skills for Fabric initiative, which teaches AI coding tools the Fabric APIs, query patterns, authentication requirements, and recommended implementation practices needed to work across Fabric workloads. Additional info

Microsoft highlights GitHub Copilot with Fabric Skills as one way to bring this Fabric-specific knowledge into development workflows. Skills are available for areas such as authoring, querying, operations, migrations, notebooks, T-SQL, KQL, Dataflows Gen2, Eventstreams, and semantic models, and can also be used with tools such as Claude Code, Cursor, Windsurf, and Codex-compatible environments. Additional info

The unified Copilot remains in private preview, so it should be viewed as Microsoft’s direction for a more persistent, cross-workload AI development experience rather than a replacement today for every existing Copilot in Fabric. Current Fabric Copilot experiences remain tailored to individual workloads and scenarios. Additional info

Modern Report Builder—the app-building experience in Power BI Desktop (Sneak peek; preview forthcoming) (more info)

Modern Report Builder represents a significant expansion of what authors can create from Power BI Desktop. Instead of starting with a blank report canvas and manually assembling visuals, authors will be able to describe the experience they want in natural language, start from a trusted semantic model, and iteratively refine the generated application. The resulting experience can go beyond a traditional dashboard by accepting user input, maintaining application state, writing data to supported destinations, and participating in operational workflows.

For example, a sales manager could start with an existing governed sales semantic model and ask for an application that shows sales performance by region, highlights accounts that are behind target, and lets regional managers enter revised forecasts or comments. The analytical portions of the app can remain grounded in the existing Power BI semantic model and its business definitions, while the new inputs can be stored in the app’s writable backend and incorporated into the workflow. This makes the experience much closer to building a lightweight business application than simply generating another report.

Under the covers, the experience builds on Fabric Apps. Fabric Apps provides application hosting, Microsoft Entra authentication, APIs, and a managed SQL database that can hold application-specific data and state. Semantic models can remain the governed analytical source, while the SQL backend can store information such as comments, approvals, forecasts, or other user-entered data. The semantic model itself does not become writable simply because it is used by the application. Additional info

This also creates a path from self-service BI to professional application development. A Power BI author could use prompts to create the initial experience and then hand the resulting Fabric App to a developer or IT team to extend it with additional logic, data sources, or custom functionality rather than rebuilding the application from scratch. Fabric Apps are standard web applications, so developers can continue working with the generated project after the initial AI-assisted creation. Additional info

The related More Power for Power BI Pro announcement brings these capabilities beyond customers with dedicated Fabric capacity. Microsoft says the forthcoming preview will be available to Power BI Pro and Premium Per User customers as well as Fabric capacity customers. Pro and PPU customers will receive Fabric Apps and Fabric Database capabilities of up to 1 GB per app at no additional cost, giving Power BI authors a managed application backend without first purchasing a Fabric capacity. Additional info

Modern Report Builder should not be confused with the existing paginated Power BI Report Builder product or with the separate Modern Power Query Editor. The keynote presents this new Power BI Desktop app-building experience as a sneak peek, with preview availability forthcoming.

Are AI-generated reports the future? Check out this interesting Reddit discussion about it.

Semantic views in OneLake (Sneak peek) (more info)

Semantic views are an early look at bringing governed business definitions closer to the data in OneLake. They overlap with Power BI semantic models in that both can describe business concepts such as Revenue, Customer, relationships, and metrics, but they appear to serve a different purpose. A Power BI semantic model is a full analytical model with tables, relationships, measures, security, and a query engine that reports and other clients consume. A semantic view is intended to make business meaning more open and reusable at the OneLake layer so the same definitions can potentially be consumed by analytics, applications, AI agents, and other platforms.

For example, today an organization might define Net Revenue as a DAX measure inside a Power BI semantic model. With semantic views, the goal would be to define that business meaning closer to the underlying OneLake data and reuse it across multiple experiences instead of recreating the definition for every model, application, or agent.

Microsoft has not yet documented how semantic views will handle calculations, security, authoring, query execution, or exactly how they will coexist with Power BI semantic models, so I would not describe them as a replacement for semantic models. They look more like an open, reusable semantic layer beneath or alongside them.

Warehouse CLONE (Private preview) (more info)

Warehouse CLONE was announced in private preview as a new warehouse-level cloning capability for Fabric Data Warehouse. The goal is to make it easier to create a copy of an existing warehouse for scenarios such as development, testing, experimentation, or validation without having to rebuild the environment manually.

Microsoft has not yet published enough detail to say exactly which warehouse objects are included, whether clones can span workspaces, how quickly they are created, or whether they use metadata-only, copy-on-write, or full physical data copies. It should therefore be treated as a new warehouse-level capability rather than assumed to behave like the existing table-cloning feature.

Fabric data agents in Microsoft Copilot Chat (Sneak peek) (more info)

Microsoft previewed bringing Fabric data agents directly into Microsoft Copilot Chat, allowing users to interact with specialized agents that understand their organization’s governed Fabric data and business context from the Copilot experience they already use.

For example, a sales user could ask a Fabric data agent in Copilot Chat, “Which customers had the largest drop in revenue this quarter, and what products drove the decline?” The data agent could use the Fabric data sources and instructions it was configured with to answer the question without requiring the user to open Fabric or understand the underlying tables.

This is different from the GA Fabric IQ experience in Copilot Chat, which is grounded primarily in Power BI reports and semantic models, and from Fabric data agents in Copilot Studio, which are already GA for building agents and extending Copilot experiences. The Copilot Chat integration for Fabric data agents remains a sneak peek.

Additional Announcements and Component-Level Qualifications

Guided modernization from Azure Data Factory and Azure Synapse (Announced) (more info)

The new Azure Data Factory upgrade experience lets customers view existing assets in Fabric, assess pipeline and activity compatibility, and plan incremental migration. Existing ADF assets remain the source of truth during evaluation rather than being silently replaced.

The Synapse Spark migration assistant copies supported artifacts and maps lake databases through OneLake shortcuts while underlying data remains in place. This is a distinct guided modernization experience, not another name for Osmos or warehouse migration tooling.

Apache Ossie and cross-platform semantic interoperability (Open-source initiative; incubating) (more info)

Microsoft and Snowflake are collaborating on Apache Ossie, a vendor-neutral standard for exchanging semantic metadata. The announcement highlights converting an Ossie document into both a Snowflake Semantic View and a Power BI semantic model. DAX recognition and ontology support are future contributions, not completed capabilities implied by the announcement.

Pipeline dependencies, Fabric API activities, and approvals (Announced) (more info)

The Data Factory announcement adds pipeline-level dependencies, native activities for invoking Fabric platform APIs, and an Approval activity for human-in-the-loop decisions. These are distinct from the already-listed retry, maintenance, and Outlook-identity improvements; the roundup does not assign one release stage to every new activity.

Additional Copy Job and Dataflow Gen2 capabilities (Announced; component availability varies) (more info)

Additional capabilities include Slowly Changing Dimension Type 2, configurable staging locations, and expanded destinations. Dataflow Gen2 gains optimized lakehouse writes, V-Order controls, broader modern-evaluator support, downloadable diagnostics, and richer monitoring. Destinations expand toward Snowflake, SharePoint, Excel, and email; Amazon S3 and Google BigQuery destinations are forthcoming.

Graph query and refresh enhancements (September update; individual release stage not specified) (more info)

Graph Analytics over Ontology introduces a configurable, managed graph with incremental refresh for analyzing complex relationships across business entities. It can uncover multi-hop dependencies, hidden patterns, and risks that traditional reporting may miss. For example, an organization could trace how a supplier disruption affects products, inventory, stores, and ultimately customers.

Additional graph enhancements include expanded GQL query composition and aggregation, unbounded variable-length path traversal, and incremental data and schema updates.. Additional info

Planning connections and organizational-app distribution (Announced enhancements) (more info)

Planners can connect to semantic models using their signed-in identity. Planning and Intelligence Sheets can also be embedded in organizational apps alongside reports, governed by existing audiences and access rules. This is separate from the forthcoming Fabric Apps integration with Org Apps.

OneLake security access auditing and role management (GA and Public preview) (more info)

The two announcements appear to refer to related but different parts of the OneLake security experience. The redesigned View users in role experience is GA and is focused on auditing access: administrators can see who can access a particular table, inspect what data an individual user can see, assign users to multiple roles, and revoke access from a centralized security view. Additional info

Separately, the keynote labels the newer Members and Data views in the OneLake Security UI as Public preview. These appear to correspond to the role-management experience where administrators inspect the Members in role and Data in role tabs for a specific OneLake security role—showing which users or groups belong to the role and exactly which tables, folders, rows, or columns that role can access. Additional info

So the simplest way to think about it is: the GA experience is primarily for auditing who has access, while the preview UI enhancements are focused on examining and managing the membership and data scope of individual OneLake security roles. They are part of the same security system, but they are not necessarily the same feature with conflicting release statuses.

Additional Real-Time Intelligence integrations (Announced) (more info)

Several additional Real-Time Intelligence capabilities were announced to make streaming data easier to enrich, expose to AI agents, and visualize in business context.

Reference Data Join lets Eventstream enrich live events with slower-moving business data stored in Lakehouse Delta tables. For example, an incoming stream of IoT device events could be joined with a device-reference table containing location, model, owner, and service tier before the event is routed downstream. It supports both visual joins and SQL-based enrichment and is currently in preview. Additional info

The Eventhouse MCP Server gives AI assistants and agents a standard MCP endpoint for working with Eventhouse data using natural language. Agents can discover schemas, generate KQL, sample data, and query both real-time and historical information without requiring a custom integration. The hosted Eventhouse MCP server is in preview. Additional info

Feature Service Support brings external geospatial data directly into Fabric Maps without first copying it into Fabric. It supports standards such as OGC Web Feature Service, OGC API – Features, and Esri Feature Services, making it possible to combine live operational data with authoritative GIS layers such as roads, parcels, service territories, or infrastructure. Feature Service Support is in preview. Additional info

Together, these additions expand RTI beyond ingesting and querying event streams: Reference Data Join adds business context, Eventhouse MCP exposes that real-time data to agents, and Feature Service Support adds geographic context for operational monitoring.

Deployment Note, Certification, and Upcoming Conferences

Power BI Desktop file-picker retirement (more info)

Starting October, Desktop versions from March 2026 or earlier lose OneDrive/SharePoint save-and-share through the old file picker. Update Desktop to retain this functionality.

Upcoming FabCon and SQLCon conferences

The next U.S. FabCon and SQLCon takes place in Atlanta, March 8–12, 2027, with workshops March 8–9 and the main conference March 10–12. Additional info

The closing keynote also announces an APAC conference in Sydney, April 6–9, 2027. Additional info

The next European conference takes place in Amsterdam, October 25–28, 2027. Additional info

Microsoft Certified: SQL AI Developer Associate (more info)

The certification covers AI-enabled database solutions across Microsoft SQL platforms, including T-SQL, CI/CD, AI capabilities, security, optimization, and deployment. Its official name is Microsoft Certified: SQL AI Developer Associate, associated with Exam DP-800.

More info:

FabCon and SQLCon 2026 in Barcelona: Building the data foundation for Microsoft Copilot and agents

Power BI’s next chapter: The evolution of business intelligence

Power BI September 2026 Feature Summary

Fabric September 2026 Feature Summary

Bringing governed analytics into the flow of work: Fabric Analytics at FabCon Europe 2026

What’s new in Microsoft OneLake and its rapidly growing ecosystem

Build, deploy, and govern Microsoft Fabric at scale

Planning in Microsoft Fabric: From insight to action

Trusted AI starts with Microsoft Fabric, Real-Time Intelligence, and IQ

From prompt to production: What’s new in Fabric Apps

FabCon/SQLCon Barcelona 2026: What’s new in Fabric Data Factory