Shortcut Transformations - Schema Definition, Preview and Drift — Microsoft Fabric Roadmap

Description

Handling additional columns, reordered columns, missing columns, and duplicate rows remains one of the top challenges for users in the current Shortcut Transformations experience. This feature aims to allow users to define and preview schemas, rename columns, change data types, and handle various schema evolution scenarios applicable to file-based data transformation. With these capabilities, users can simplify complex schema management in file data processing and gain complete control using Shortcut Transformations. Define and preview your schema, rename columns, adjust data types, and seamlessly handle changes such as added, missing, or reordered columns--all without disrupting your workflows.

📰 Related Blog Article

Announcing Shortcut Transformations: from files to Delta tables. Always in sync, no pipelines required.

🔗 blog.fabric.microsoft.com

Change History

2026-01-30

Release Date 2026-01-30 -> 2026-06-30
2025-12-11

Feature Description **Shortcut Transformations - Define Schema Preview Schema Hand Schema Drift**Handling additional columns columns reordered missing columns duplicate rows remain as one of top problems to users in current experience with Shortcut Transformations. With this feature development is to allow users to define schema preview schema rename columns change data type and handle various schema evolution scenarios applicable to file data transformation use can simplify complex schema management in file data processing and gain complete control with Shortcut Transformations. Define and preview your schema rename columns adjust data types and seamlessly handle changes like added missing or reordered columns--all without disrupting your workflows -> Handling additional columns reordered columns missing columns and duplicate rows remains one of the top challenges for users in the current Shortcut Transformations experience. This feature aims to allow users to define and preview schemas rename columns change data types and handle various schema evolution scenarios applicable to file-based data transformation. With these capabilities users can simplify complex schema management in file data processing and gain complete control using Shortcut Transformations. Define and preview your schema rename columns adjust data types and seamlessly handle changes such as added missing or reordered columns--all without disrupting your workflows.
2025-11-18

Roadmap Item Added