Understanding Fabric Data Engineering

Fabric Data Engineering provides an environment where data engineers collect, store, cleanse, and process large volumes of data that can be used by other applications. The illustration shows the main Fabric Data Engineering UI with a notebook querying data using PySpark, although developers can use other languages.

As part of Fabric, Data Engineering (also sometimes called Fabric Synapse Data Engineering) uses the same UI, workspaces, and data storage components as the other Fabric services, allowing Data Engineering users to participate in end-to-end workloads and share data with other Fabric services. 

Service Description

Data Engineering provides tools and components that data engineers use to build processes and workloads that collect and store data and convert it into a usable format for operational use or by data scientists and analysts.

Development

Developers work within the main Fabric Web UI and adhere to the organization and security controls of Fabric workspaces. They create Jupyter notebooks that contain code, visualizations, and comments for processes and workloads like other development environments. Notebooks are created and stored within an assigned workspace where they can be shared with other developers who have access to the workspace.