Abstract: Systems and methods are provided for analysis and selection of attributes used to segment data entities. The attributes used to segment data entities may be analyzed to identify segments of data entities (e.g., distinct audiences of visitors) that share values for a given subset of attributes. By intelligently selecting attributes for use in the segmentation process based on the values that they may take (e.g., the cardinality of the attributes), the selected attributes can be used to generate a reasonable or otherwise desirable number of data entity segments. Other attributes can be excluded from the segmentation process.

Abstract: Systems and methods are provided for analysis and selection of attributes used to segment data entities. The attributes used to segment data entities may be analyzed to identify segments of data entities (e.g., distinct audiences of visitors) that share values for a given subset of attributes. By intelligently selecting attributes for use in the segmentation process based on the values that they may take (e.g., the cardinality of the attributes), the selected attributes can be used to generate a reasonable or otherwise desirable number of data entity segments. Other attributes can be excluded from the segmentation process.

Abstract: Systems, apparatuses, and methods for scheduling maintenance jobs for computing assets implementing configuration items within a CMDB are described. The maintenance jobs include database backups. Two queues operate together to schedule a large number of jobs in a technique that is scalable while staying within resource constraints.