Abstract: A method for providing computer job forecasts includes storing a plurality of job queue files in random access memory. The plurality of job queue files includes information associated with a plurality of jobs. The method also includes accessing at least one of the job queue files stored in the random access memory and, in response, storing in random access memory forecast data defining a plurality of scheduled jobs that are scheduled to be executed, a plurality of datasets associated with the scheduled jobs, and connections between the jobs and datasets. The method also includes generating, based at least in part on the stored forecast data, a forecast for at least one particular job. The forecast provides an identification of a plurality of datasets and jobs directly and indirectly triggered by the particular job and a plurality of datasets and jobs required by the jobs and datasets triggered directly or indirectly by the particular job. The method also includes graphically displaying the forecast to a user.

Abstract: A method for scheduling jobs in a computer system includes storing a plurality of job queue files in a random access memory, accessing at least one of the job queue files stored in random access memory, and scheduling, based in part on the at least one job queue file, execution of a job associated with the at least one job queue file. In a more particular embodiment, a method for scheduling jobs in a computer system include storing a plurality of job queue files in a random access memory. The plurality of job queue files include information associated with at least one job. The method also includes storing the information external to the random access memory and accessing at least one of the job queue files stored in the random access memory. The method also includes scheduling, based at least in part on the at least one job queue file, execution of a job associated with at least one job queue file.