Abstract: The present disclosure is directed to a system and method for viewing jobs managed by heterogeneous job schedulers on heterogeneous computing systems. Organizations often rely on workflow schedulers or job schedulers to execute and manage their workflow pipelines. However, different departments within a large organization may rely on different job scheduling applications for managing their workflows. Without the capability to monitor and manage all or a subset of jobs running on heterogeneous job scheduling applications across the organization at the same time, organizations lack the insight they need to make their workflow pipeline more efficient. The disclosed system and method allows users to monitor jobs or computer applications, including details regarding job execution and service level agreements, running on heterogeneous job schedulers across the organization.

Abstract: In the general, the subject matter of the present disclosure relates to a data analysis tool that helps consumers, such as data scientists and engineers, understand datasets better. The disclosed data analysis framework/tool surfaces metrics to data consumers to visually inspect and understand large datasets more efficiently. In addition to the pre-computed and pre-collected metrics on given datasets or tables, the disclosed data analysis tool may also provide a way to detect various anomalies associated with the datasets.

Abstract: The present disclosure is directed to a system and method for viewing jobs managed by heterogeneous job schedulers on heterogeneous computing systems. Organizations often rely on workflow schedulers or job schedulers to execute and manage their workflow pipelines. However, different departments within a large organization may rely on different job scheduling applications for managing their workflows. Without the capability to monitor and manage all or a subset of jobs running on heterogeneous job scheduling applications across the organization at the same time, organizations lack the insight they need to make their workflow pipeline more efficient. The disclosed system and method allows users to monitor jobs or computer applications, including details regarding job execution and service level agreements, running on heterogeneous job schedulers across the organization.