Abstract: Various embodiments provide methods, apparatus, systems, computing devices, computing entities, and/or the like for identifying targeted data for a data subject across a plurality of data objects in a data source. In accordance with one embodiment, a method is provided comprising: receiving a request to identify targeted data for a data subject; identifying a first data object using metadata for a data source that identifies the first data object as associated with a first targeted data type for a data portion from the request; identifying a first data field from a graph data structure of the first data object that identifies the first data field as used for storing data having the first targeted data type; and querying the first data object based on the first data field and the data for the first targeted data type to identify a first targeted data portion for the data subject.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing dynamic request queues to process electronic requests in a shared infrastructure environment. The disclosed system dynamically generates a plurality of separate request queues for tenant computing systems that utilize a shared processing infrastructure to issue electronic requests for processing by various recipient processors (e.g., one or more processing threads) by separating a primary request queue into the separate requests queues based on the tenant computing systems. The disclosed system also generates a plurality of queue order scores for the request queues based in part on a processing recency of each of the request queues and whether the request queues have pending electronic requests. The disclosed system processes electronic requests in the request queues by selecting a request queue based on the queue order scores and processing a batch of electronic requests utilizing a recipient processor.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing dynamic request queues to process electronic requests in a shared infrastructure environment. The disclosed system dynamically generates a plurality of separate request queues for tenant computing systems that utilize a shared processing infrastructure to issue electronic requests for processing by various recipient processors (e.g., one or more processing threads) by separating a primary request queue into the separate requests queues based on the tenant computing systems. The disclosed system also generates a plurality of queue order scores for the request queues based in part on a processing recency of each of the request queues and whether the request queues have pending electronic requests. The disclosed system processes electronic requests in the request queues by selecting a request queue based on the queue order scores and processing a batch of electronic requests utilizing a recipient processor.

Abstract: Various embodiments provide methods, apparatus, systems, computing devices, computing entities, and/or the like for identifying targeted data for a data subject across a plurality of data objects in a data source. In accordance with one embodiment, a method is provided comprising: receiving a request to identify targeted data for a data subject; identifying a first data object using metadata for a data source that identifies the first data object as associated with a first targeted data type for a data portion from the request; identifying a first data field from a graph data structure of the first data object that identifies the first data field as used for storing data having the first targeted data type; and querying the first data object based on the first data field and the data for the first targeted data type to identify a first targeted data portion for the data subject.

Abstract: Various embodiments provide methods, apparatus, systems, computing devices, computing entities, and/or the like for identifying targeted data for a data subject across a plurality of data objects in a data source. In accordance with one embodiment, a method is provided comprising: receiving a request to identify targeted data for a data subject; identifying a first data object using metadata for a data source that identifies the first data object as associated with a first targeted data type for a data portion from the request; identifying a first data field from a graph data structure of the first data object that identifies the first data field as used for storing data having the first targeted data type; and querying the first data object based on the first data field and the data for the first targeted data type to identify a first targeted data portion for the data subject.