Anna tiedot Microsoft Fabric -blogin tilaamista varten.

Kiitos, että tilasit Microsoft Fabric -blogin. Saat sähköposti-ilmoituksia, kun julkaisemme uusia viestejä.

Microsoft Fabric Updates Blog

  1. Päivitykset
  2. Mark Kromer

New Features for Fabric Data Factory Pipelines Announced at Ignite

Table and partition refreshes added to Semantic Model Refresh activity

One of the most popular features that we built in Fabric Data Factory came from our customer patterns that we observed being used in ADF and from our community. That is the Semantic Model Refresh activity. After first releasing this pipeline activity, we heard your ask to improve your ELT pipeline processing by including an option to refresh specific tables and partitions in your semantic models. We are pleased to announce that we’ve now enabled this feature making the pipeline activity the most effective way to refresh your Fabric semantic models!

You can now refresh specific tables in your semantic model
Optionally, you can now optionally refresh specific partitions

Import and export your Fabric Data Factory pipelines

As a Data Factory pipeline developer, you will often want to export your pipeline definition to share it with other developers or to reuse it in other workspaces. We’ve now added the capability to export and import your Data Factory pipelines from your Fabric workspace. This powerful feature will enable even more collaborative capabilities and will be invaluable when you troubleshoot your pipelines with our support teams. Just click the new export button on the pipeline canvas designer to download the JSON definition of your pipelines which you can then share with other users inside or outside of your organization. Your collaborators can then take that JSON pipeline definition and import it into their own workspaces using the import button.

Export and Import Fabric Pipelines from the Data Factory Pipeline Designer

Liittyvät blogikirjoitukset

New Features for Fabric Data Factory Pipelines Announced at Ignite

Blogin kuva

Manage OneLake security for Mirrored Databases (Preview)
tammikuuta 20, 2026 tekijä Aaron Merrill

OneLake security now supports Mirrored Databases in Microsoft Fabric with the ability to define OneLake data access roles on all Mirrored item types. This update brings granular, role-based access control to data replicated into OneLake from transactional systems, extending the OneLake security model beyond lakehouses and enabling secure reuse of mirrored data across the organization. … Continue reading “Manage OneLake security for Mirrored Databases (Preview)”

Lisätietoja
Blogin kuva

Simplifying data movement across multiple clouds with Copy job – Enhancements on incremental copy and change data capture
tammikuuta 20, 2026 tekijä Ye Xu

Copy job is the go-to solution in Microsoft Fabric Data Factory for simplified data movement, whether you’re moving data across clouds, from on-premises systems, or between services. 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 … Continue reading “Simplifying data movement across multiple clouds with Copy job – Enhancements on incremental copy and change data capture”

Lisätietoja