Content by jiang_jenny1 (3)

jiang_jenny1 introduces a preview, AI-assisted command-line approach for migrating Azure Synapse Spark artifacts and Synapse pipelines into Microsoft Fabric. It covers the end-to-end phases, two migration strategies (lift-and-shift vs. migrate-and-modernize), automatic refactoring and dependency handling, and how the companion pipeline skill rewires orchestration to Fabric Data Factory.

jiang_jenny1 introduces the Fabric Spark Operations Skill (preview), an AI-assisted, read-only troubleshooting tool for Spark workloads in Microsoft Fabric. It turns common investigations—failed notebooks, pipeline failures, session triage, and performance issues—into natural-language commands that produce a severity-ranked diagnostic report with fix recommendations and links back to Fabric.

jiang_jenny1 announces a preview update to the Spark History Server in Microsoft Fabric that speeds up loading for large Spark applications by switching to snapshot-based, incremental rendering. The post also covers expanded support for Spark Streaming configurations like event log compression and rolling logs.