Microsoft Fabric Blog introduces major updates for Fabric data agents, with CI/CD, ALM flow, and Git integration. Authored by Microsoft Fabric Blog, the article explains how these features enhance development, collaboration, and data management across environments.

Fabric Data Agent: CI/CD, ALM Flow, and Git Integration Enhancements

Microsoft Fabric now brings CI/CD, application lifecycle management (ALM) flow, and Git integration capabilities to Fabric data agents, making it easier for teams to manage, track, and collaborate on data agent artifacts in a software engineering-friendly manner.

Key Enhancements

  • CI/CD and ALM Flow: Data agents support a variety of data sources, such as Lakehouse, Warehouse, Power BI Semantic Models, and KQL databases. Integrating CI/CD and ALM flows enables structured updates for schema selections, source configurations, queries, and custom instructions. This ensures changes are consistent, reviewable, and reversible.
  • Git Integration: All data agent changes are now tracked via a Git repository. Every update, including modifications to queries and configurations, is recorded with full history. Standard Git workflows (commits, pull requests, rollbacks) are supported, providing reliable version control and collaboration.
  • Work Environment Separation: Teams are encouraged to utilize three workspaces—development, test, and production. Each environment allows for progressive validation and deployment of data agent changes, reducing production risk.
  • Deployment Pipelines: With Fabric deployment pipelines, updates move safely through workspaces. This supports reliable operations and helps teams adopt modern DevOps practices for data agent management.

Benefits

  • Version-Controlled Artifact Management: Git tracks all changes, facilitating audits and reversions.
  • Collaboration: Multiple team members can work in parallel, validate updates, and safely merge changes.
  • Risk Reduction: Staged environments (dev, test, prod) ensure issues are caught early.
  • Repeatable Workflows: ALM and CI/CD bring predictability and scalability to data operations.

Getting Started

To implement these enhancements, see the official guide:

  • [Fabric data agent Microsoft Learn](https://aka.ms/Fabric/data-agent-source-control)

Adopting these new workflows will help organizations modernize and standardize their data agent development process.

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