Executing a big data analytics pipeline using shared storage resources
Abstract:
Executing a big data analytics pipeline in a storage system that includes compute resources and shared storage resources, including: receiving, from a data producer, a dataset; storing, within the storage system, the dataset; allocating processing resources to an analytics application; and executing the analytics application on the processing resources, including ingesting the dataset from the storage system.
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