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Microsoft Fabric Updates Blog

Fabric November 2025 Feature Summary

November 18, 2025 by Adam Saxton 80,932 Views

The November 2025 Fabric release introduces several major updates, including the general availability of SQL database, Cosmos DB, and enhanced mirroring support for key data sources such as SQL Server, Cosmos DB, and PostgreSQL. This month also brings new AI-driven features like Copilot sidecar chat tools and real-time data exploration, as well as crucial platform …

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Fabric Data Agent now supports CI/CD, ALM Flow, and Git Integration

Fabric data agents now support CI/CD, ALM flow, and Git integration. These enhancements help you implement best practices for managing your data agent artifacts and tracking changes, leading to more reliable and collaborative development. Benefits of CI/CD and ALM Flow Fabric data agents support a variety of data sources, including Lakehouse, Warehouse, Power BI Semantic …

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Understanding Locking and DDL Blocking in Microsoft Fabric Data Warehouse

As adoption of Microsoft Fabric Data Warehouse accelerates, understanding its concurrency model becomes essential for developers, architects, and data engineers. In this post, we’ll explore how Fabric DW handles locking, the nuances of DDL blocking, and how these behaviors impact your workloads. Locking Behavior in Fabric Data Warehouse Fabric DW supports ACID-compliant transactions using standard …

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Resolving Write Conflicts in Microsoft Fabric Data Warehouse

Fabric Data Warehouse (DW) supports ACID-compliant transactions using standard T-SQL (BEGIN TRANSACTION, COMMIT, ROLLBACK) and uses Snapshot Isolation (SI) as its exclusive concurrency control model. All operations within a transaction are treated atomically—either all succeed or all fail. This ensures that each transaction operates on a consistent snapshot of the data as it existed at …

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Query and ingest JSONL files in Data Warehouse and SQL Analytics Endpoint for Lakehouse (Generally Available)

The OPENROWSET function that can read JSONL format empowers you to easily read and ingest JSONL files – for example log files, social media streams, machine learning datasets, configuration files, and other semi-structured sources. With the versatile OPENROWSET T-SQL function, you can reference and query JSONL files as if they were tables, eliminating the need …

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Simplifying file access in OPENROWSET using data sources and relative paths (Preview)

The introduction of data sources and relative paths in the OPENROWSET function unlocks a new level of simplicity and flexibility for querying files in your Lakehouse and beyond. By leveraging external data sources, you can write cleaner, more maintainable SQL queries and easily access data wherever it resides — making data engineering and analytics more …

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