Abstract: A data file comprising a plurality of rows, each of the rows includes at least a first column and a second column, the first column contains a first-level resource ID that identifies a first-level resource, the second column provides information regarding the first-level resource. For each respective unique first-level resource ID, the processing circuitry identifies a row set for the respective first-level resource ID, performs a sequential deduplication process on the row set, and enqueues remaining rows in a queue for a thread assigned to the respective first-level resource ID. For each row enqueued in the queue for the thread, the thread dequeues the row from the queue for the respective thread, requests creation of a second-level resource that stores a version of the data element contained in the second column of the dequeued row, and requests creation of relationship data for the second-level resource.

Abstract: A data file comprising a plurality of rows, each of the rows includes at least a first column and a second column, the first column contains a first-level resource ID that identifies a first-level resource, the second column provides information regarding the first-level resource. For each respective unique first-level resource ID, the processing circuitry identifies a row set for the respective first-level resource ID, performs a sequential deduplication process on the row set, and enqueues remaining rows in a queue for a thread assigned to the respective first-level resource ID. For each row enqueued in the queue for the thread, the thread dequeues the row from the queue for the respective thread, requests creation of a second-level resource that stores a version of the data element contained in the second column of the dequeued row, and requests creation of relationship data for the second-level resource.

Abstract: A machine-implemented method for analyzing risk associated with an activity may include receiving inputs identifying a user and an activity to be analyzed, selecting a boundary dataset including operator data, vehicle/equipment data, and/or general operations data, selecting a boundary parameter from the selected dataset, selecting an environmental parameter associated with the selected boundary parameter, and determining whether the selected environmental parameter exceeds a threshold level of risk associated with the selected boundary parameter.