Abstract: Techniques described herein relate to systems, methods, and non-transitory computer readable mediums for performing workloads on hardware configurations. The method includes determining compliant hardware configurations of the data cluster using workload features associated with the workload, hardware specification information associated with hardware of data nodes of a data cluster, and a first machine learning model; generating performance predictions associated with the compliant hardware configurations using the workload features, a portion of the hardware specification information associated with the compliant hardware configurations, and a second machine learning model; and generating a recommendation using the performance predictions, and the recommendation specifies a hardware configuration of the compliant hardware configurations. The workload is performed using the recommendation.

Abstract: An information handling system for servicing search requests for information stored in data assets includes storage for storing a graph database based on at least one data catalog for the data assets. The information handling system also includes a processor that obtains, from a requestor, a search request of the search requests, the search request specifies a keyword search term; obtains a first identifier of a data asset of the data assets using the graph database and the keyword search term; and provides the first identifier as a supplemental result for the search request.

Abstract: A method for performing workloads is performed by a recommendation engine.