Microsoft Fabric Updates Blog

Simplifying Data Ingestion with Copy job – Multiple Scheduler support

Copy Job is the go-to solution in Microsoft Fabric Data Factory for simplified data movement. With native support for multiple delivery styles, including bulk copy, incremental copy, and change data capture (CDC) replication, Copy job offers the flexibility to handle a wide range of scenarios—all through an intuitive, easy-to-use experience.

In this update, we’re excited to announce a powerful new enhancement: multiple scheduler support. This gives you even greater control over when your data moves.

Now, a single Copy job can be triggered at different intervals—for example, one scheduler runs daily at 6 AM, while another runs weekly on Sundays. In the past, achieving this required creating multiple Copy jobs with each schedule. With this update, you can configure all your schedules directly within the same Copy job, making orchestration simpler, cleaner, and more efficient.

As you expected, the multiple schedulers can be deployed alongside the Copy job via Git, Deployment Pipelines, or public APIs. You can refer to more details in Unlocking Flexibility in Fabric: Introducing Multiple Scheduler and CI/CD Support | Microsoft Fabric Blog | Microsoft Fabric

Additional Resources

To learn more, explore our Microsoft Fabric Copy Job Documentation.

Submit your feedback on Fabric Ideas and join the conversation on the Fabric Community.

To get into the technical details, head over to the Fabric documentation.  

Have any questions or feedback? Leave a comment below!

Relaterade blogginlägg

Simplifying Data Ingestion with Copy job – Multiple Scheduler support

januari 22, 2026 från Anna Hoffman

The SQL community is gathering in Atlanta this March for the first‑ever SQLCon, co‑located with FabCon, the Microsoft Fabric Community Conference, March 16-20. One registration unlocks both events, giving you access to deep SQL expertise and the latest in Fabric, Power BI, data engineering, real‑time intelligence, and AI. Whether you’re a DBA, developer, data engineer, architect, or a … Continue reading “Five Reasons to attend SQLCon”

november 24, 2025 från Jianlei Shen

This milestone marks a major step forward in unifying and simplifying data movement experiences across Data Factory. With Copy Job Activity, users can now enjoy the simplicity and speed of Copy Job while leveraging the orchestration power and flexibility of Data Factory pipelines. What is the Copy job Activity  Copy Job Activity allows you to … Continue reading “Announcing Copy Job Activity in Data Factory Pipeline (Generally Available)”