Abstract: Aspects of the disclosure relate to providing and maintaining efficient and effective processing of sets of work items in enterprise computing environments by optimizing distributed and parallelized batch data processing. A computing platform may initialize a monitoring process configured to monitor a pending workload in a work queue database. Subsequently, the computing platform may cause the monitoring process to query the work queue database and create one or more historical records indicative of a workload processing status associated with one or more processing workers. Then, the computing platform may identify one or more new parameter values for one or more processing parameters associated with the one or more processing workers based on the one or more historical records. Thereafter, the computing platform may configure the one or more processing workers based on the one or more new parameter values identified for the one or more processing parameters.

Abstract: Aspects of the disclosure relate to providing and maintaining efficient and effective processing of sets of work items in enterprise computing environments by optimizing distributed and parallelized batch data processing. A computing platform may initialize a monitoring process configured to monitor a pending workload in a work queue database. Subsequently, the computing platform may cause the monitoring process to query the work queue database and create one or more historical records indicative of a workload processing status associated with one or more processing workers. Then, the computing platform may identify one or more new parameter values for one or more processing parameters associated with the one or more processing workers based on the one or more historical records. Thereafter, the computing platform may configure the one or more processing workers based on the one or more new parameter values identified for the one or more processing parameters.

Abstract: Aspects of the disclosure relate to providing and maintaining efficient and effective processing of sets of work items in enterprise computing environments by optimizing distributed and parallelized batch data processing. A computing platform may initialize at least two processing workers. Subsequently, the computing platform may cause a first processing worker to perform a first query on a work queue database and initiate parallel processing of a first set of work items. Thereafter, the computing platform may cause the second processing worker to perform a second query on the work queue database and initiate parallel processing of a second set of work items. In some instances, performing the second query on the work queue database comprises reading at least one work item that was read and locked by the first processing worker.

Abstract: Aspects of the disclosure relate to providing and maintaining efficient and effective processing of sets of work items in enterprise computing environments by optimizing distributed and parallelized batch data processing. A computing platform may initialize at least two processing workers. Subsequently, the computing platform may cause a first processing worker to perform a first query on a work queue database and initiate parallel processing of a first set of work items. Thereafter, the computing platform may cause the second processing worker to perform a second query on the work queue database and initiate parallel processing of a second set of work items. In some instances, performing the second query on the work queue database comprises reading at least one work item that was read and locked by the first processing worker.

Abstract: Aspects of the disclosure relate to providing and maintaining efficient and effective processing of sets of work items in enterprise computing environments by optimizing distributed and parallelized batch data processing. A computing platform may initialize at least two processing workers. Subsequently, the computing platform may cause a first processing worker to perform a first query on a work queue database and initiate parallel processing of a first set of work items. Thereafter, the computing platform may cause the second processing worker to perform a second query on the work queue database and initiate parallel processing of a second set of work items. In some instances, performing the second query on the work queue database comprises reading at least one work item that was read and locked by the first processing worker.

Abstract: Aspects of the disclosure relate to providing and maintaining efficient and effective processing of sets of work items in enterprise computing environments by optimizing distributed and parallelized batch data processing. A computing platform may initialize at least two processing workers. Subsequently, the computing platform may cause a first processing worker to perform a first query on a work queue database and initiate parallel processing of a first set of work items. Thereafter, the computing platform may cause the second processing worker to perform a second query on the work queue database and initiate parallel processing of a second set of work items. In some instances, performing the second query on the work queue database comprises reading at least one work item that was read and locked by the first processing worker.

Abstract: Aspects of the disclosure relate to providing and maintaining efficient and effective processing of sets of work items in enterprise computing environments by optimizing distributed and parallelized batch data processing. A computing platform may initialize a monitoring process configured to monitor a pending workload in a work queue database. Subsequently, the computing platform may cause the monitoring process to query the work queue database and create one or more historical records indicative of a workload processing status associated with one or more processing workers. Then, the computing platform may identify one or more new parameter values for one or more processing parameters associated with the one or more processing workers based on the one or more historical records. Thereafter, the computing platform may configure the one or more processing workers based on the one or more new parameter values identified for the one or more processing parameters.