Content by Santhosh_Ravin1 (2)

Santhosh_Ravin1 introduces Efficient Scaledown (Preview) for Microsoft Fabric Spark, explaining how remote shuffle storage and shuffle migration reduce recomputation during scale-down, improve resiliency, and cut compute costs, with concrete benchmark results and the Spark configuration needed to enable the feature.

Santhosh_Ravin1 explains how Microsoft Fabric’s Native Execution Engine (NEE) speeds up Spark workloads that use Python/Scala UDFs and nested data types. It covers why UDFs and complex types have historically forced costly serialization and row-based fallbacks, what NEE changes in the execution path, and the benchmarked performance gains.