Lecture
Shared Work Systems: Optimization
Description
This lecture discusses a Massive Scale Data Processing System at EPFL, focusing on query engines like Hive/Spark for ad hoc queries and the reduction of processing costs for highly concurrent workloads. It covers shared work systems, shared query executors, batch query optimizers, and adaptive data placement strategies.
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