
Lijiang developed and validated sample Jupyter Notebooks for the Fabric Data Agent SDK in the microsoft/fabric-samples repository, focusing on end-to-end workflows for data agent lifecycle management. Using Python and data engineering techniques, Lijiang demonstrated how to create, configure, and publish data agents with Lakehouse datasources, providing practical examples for updating configurations and selecting tables. The work included an initial commit of runnable samples, enabling immediate onboarding for other developers. By delivering these comprehensive notebooks, Lijiang enhanced repository readiness and accelerated adoption for data engineering teams, offering clear, reproducible steps for integrating and managing data agents in real-world scenarios.

Monthly work summary for 2025-03 focused on delivering and validating the Fabric Data Agent SDK sample notebooks in microsoft/fabric-samples; highlights include end-to-end notebook demonstrations for creating, configuring, and publishing data agents with Lakehouse datasources, plus the initial sample commit.
Monthly work summary for 2025-03 focused on delivering and validating the Fabric Data Agent SDK sample notebooks in microsoft/fabric-samples; highlights include end-to-end notebook demonstrations for creating, configuring, and publishing data agents with Lakehouse datasources, plus the initial sample commit.
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