Fabric changes

This page's changes and edits · All guidance changes

Microsoft's edit · 28 Aug 17:30 UTC

Mirroring for Google BigQuery: GA content updates (#15973)

Microsoft's commit message in MicrosoftDocs/fabric-docs · commit 5745ba3 · +2 −1 lines · also on GitHub

⋯ 138 unchanged lines

139139 |**Microsoft ODBC Driver (Preview)**|The [Microsoft ODBC Driver for Fabric Data Engineering (Preview)](https://blog.fabric.microsoft.com/blog/microsoft-odbc-driver-for-microsoft-fabric-data-engineering-preview) enables .NET, Python, and other ODBC-compatible applications and BI tools to connect to Spark SQL in Fabric through Livy APIs with Microsoft Entra ID authentication, session reuse, and async prefetch. For more information, see [Microsoft ODBC driver for Microsoft Fabric Data Engineering (Preview)](../data-engineering/spark-odbc-driver.md).|

140140 |**Mirrored Dremio catalog in OneLake (Preview)**|Fabric can mirror Dremio Iceberg REST Catalog metadata to enable zero-copy access to Dremio-managed Iceberg tables in OneLake via shortcuts. Tables appear in OneLake within seconds after selection, with optional auto-include of newly added tables and SQL analytics endpoint querying across Fabric workloads. For more information, see [Bring your Dremio data into OneLake (Preview)](https://blog.fabric.microsoft.com/blog/bring-your-dremio-data-into-onelake-preview/) and [Mirrored Dremio catalog](../mirroring/catalog-mirroring/dremio.md).|

141141 |**Mirroring for Azure Database for MySQL (Preview)**|[Mirroring in Fabric](../mirroring/overview.md) provides an easy experience to avoid complex ETL (Extract, Transform, Load) processes and seamlessly integrate your existing Azure Database for MySQL data with the rest of your data in Fabric. For more information, see [Mirroring Azure Database for MySQL](../mirroring/azure-database-mysql.md).|

142 −| **Mirroring for Google BigQuery (Preview)** | [Mirroring in Fabric](../mirroring/overview.md) offers a simple way to avoid complex ETL (Extract, Transform, Load) processes and seamlessly integrate your existing Google BigQuery warehouse data with the rest of your data in Fabric. For more information, see [Mirrored databases from Google BigQuery](../mirroring/google-bigquery.md) and [Tutorial: Set up mirroring for Google BigQuery](../mirroring/google-bigquery-tutorial.md). |

143142 |**ML model endpoints (Preview)**|[ML models in Fabric can now serve real-time predictions from secure, scalable, and easy-to-use online endpoints](https://blog.fabric.microsoft.com/blog/serve-real-time-predictions-seamlessly-with-ml-model-endpoints?ft=All). 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 ML in Fabric](../data-science/automated-ml-fabric.md) and [Model endpoints in Fabric](../data-science/model-endpoints.md).|

144143 |**Modern evaluation engine for VNet data gateways (Preview)**|[Modern evaluation engine for VNet data gateways (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Evaluate-Fabric-workload-performance-with-the-modern-evaluation/ba-p/5330293) provides an opt-in execution path for supported mashup evaluations so you can test semantic model refresh, Dataflow Gen2 refresh, and DirectQuery performance without changing your private network architecture. For more information, see [Modern evaluation engine for VNet data gateways](/data-integration/vnet/modern-evaluation-engine).|

145144 |**MSSQL extension for VS Code Fabric integration (Preview)**|[MSSQL extension for VS Code Fabric integration (Preview)](https://blog.fabric.microsoft.com/blog/mssql-extension-for-vs-code-fabric-integration-public-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](https://marketplace.visualstudio.com/items?itemName=ms-mssql.mssql).|

⋯ 49 unchanged lines

195194

196195 |**Month** | **Feature** | **Learn more** |

197196 |:-- |:-- | :-- |

197 +|August 2026|**Mirroring for Google BigQuery (Generally Available)**|[Mirroring in Fabric](../mirroring/overview.md) offers a simple, low-latency way to continuously replicate your Google BigQuery data into OneLake with no ETL pipelines, no data movement, and no proprietary formats. Once in Fabric, mirrored BigQuery data is queryable in near real time across Power BI Direct Lake, the SQL analytics endpoint, Data Engineering, Data Science, Real-Time Intelligence, and Copilot. For more information, see [Mirrored databases from Google BigQuery](../mirroring/google-bigquery.md) and [Tutorial: Set up mirroring for Google BigQuery](../mirroring/google-bigquery-tutorial.md).|

198198 |August 2026|**Migration Assistant to SQL database**|The Migration Assistant for SQL database simplifies moving SQL Server on-premises workloads into Fabric. Designed for SQL developers, it imports schema via DACPACs, identifies compatibility issues, and provides clear, actionable guidance before migration. For more information, see [Fabric Migration Assistant for SQL database](../database/sql/migration-assistant.md).|

199199 |August 2026|**Warehouse IDENTITY columns (Generally available)**|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](../data-warehouse/identity.md) and [Use IDENTITY columns to create surrogate keys](../data-warehouse/tutorial-identity.md). You can also learn how to [Migrate to IDENTITY columns in Fabric Data Warehouse](../data-warehouse/migrate-identity-columns.md).|

200200 |August 2026|**Real-Time Dashboard KPI visualization (Generally Available)**|[The KPI visualization in Real-Time Dashboards is now generally available](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Monitor-key-metrics-at-a-glance-with-the-new-KPI-visualization/ba-p/5360033), providing at-a-glance metrics with goals, status indicators, trends, and conditional formatting. For more information, see [Customize Real-Time Dashboard visuals](../real-time-intelligence/dashboard-visuals-customize.md) and [Apply conditional formatting in Real-Time Dashboards](../real-time-intelligence/dashboard-conditional-formatting.md).|

⋯ 295 unchanged lines

496496

497497 |**Month** | **Feature** | **Learn more** |

498498 |:-- |:-- | :-- |

499 +|August 2026|**Mirroring for Google BigQuery (Generally Available)**|[Mirroring for Google BigQuery](../mirroring/google-bigquery.md) is now generally available with full production support. Continuously replicate BigQuery tables into OneLake as open Delta tables — no ETL pipelines, no data movement, and no refresh management — with automatic schema evolution, Direct Lake integration for Power BI, and zero Fabric replication compute or network ingress cost. For more information, see [Mirrored databases from Google BigQuery](../mirroring/google-bigquery.md) and [Tutorial: Set up mirroring for Google BigQuery](../mirroring/google-bigquery-tutorial.md).|

499500 |August 2026|**Google Lakehouse Runtime Catalog mirroring (Preview)**|[Google Lakehouse Runtime Catalog mirroring (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-your-Google-Lakehouse-Runtime-Catalog-data-to-OneLake/ba-p/5360492) brings Google-managed Iceberg catalog metadata into OneLake without copying data, so you can use the tables across Fabric workloads. For more information, see [Google Lakehouse Runtime Catalog mirroring](https://aka.ms/OneLakeMirroredCatalogDocs/GoogleLHRTC).|

500501 |July 2026|**Azure Monitor and AWS Glue mirroring (Preview)**|[Mirrored Azure Monitor and Mirrored AWS Glue catalog](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Bring-Azure-Monitor-and-AWS-Glue-data-to-OneLake-Preview/ba-p/5326474) bring Log Analytics workspace tables and AWS Glue Iceberg tables into OneLake for Fabric analysis without duplicating data. For more information, see [Mirror Azure Monitor in Microsoft Fabric](https://aka.ms/OneLakeMirroredCatalogDocs/AzMon) and [Mirrored AWS Glue catalog](https://aka.ms/OneLakeMirroredCatalogDocs/AWSGlue).|

501502 |July 2026|**Azure Monitor Logs mirroring (Preview)**|[Azure Monitor Logs mirroring (Preview)](https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Cross-domain-intelligence-with-Azure-Monitor-data-in-Microsoft/ba-p/5279352) brings Log Analytics workspace telemetry into OneLake so you can combine observability and business data in Eventhouse, Real-Time Dashboards, and Operations Agent workflows.|

⋯ 104 unchanged lines

Microsoft's Markdown source from MicrosoftDocs/fabric-docs, © Microsoft Corporation, under CC BY 4.0. Changed lines with up to 3 unchanged lines around each; ChangeIntel kept this copy 9 Oct 22:05 UTC. The commit date is when the source changed, which can be hours or days before Learn published it.