Fabric Data Factory Roadmap

Fabric Data Factory, one of the main Fabric experiences, is used for creating data integration and transformation pipelines and processes, typically called extract, transform, and load (ETL) workloads. The service provides low-code tools to build data flows and pipelines to automate data integration and transformation from on-premises, third-party database services and Azure-hosted data services either manually, on a schedule, or in response to a trigger. As part of Fabric, Data Factory uses the same UI, workspaces, and data storage components as the other Fabric experiences, allowing it to participate in end-to-end workloads and deliver data to any of the OneLake data stores. With Data Factory, developers can create and collaborate on pipelines through shared resources.

Product: Fabric Data Factory

Near Term (2024–2025)

The primary plans for Data Factory are focused on it receiving updates that help it work with OneLake data sources as they also receive new features. For example, the pipeline feature is previewing an option that allows it to read and write to OneLake Lakehouse using defined schemas, which is a new feature for Lakehouses. Customers should expect that Data Factory will be able to leverage these types of updates relatively soon after they are released to OneLake, but it also shows how Fabric as a whole is still under development. The service was released in Nov. 2023, after a long preview, and basic database schema management features are only now being released.