Abstract: The present invention extends to methods, systems, and computer program products for selecting candidate records for deduplication from a table. A table can be processed to compute an inverse index for each field of the table. A deduplication algorithm can traverse the inverse indices in accordance with a flexible user-defined policy to identify candidate records for deduplication. Both exact matches and approximate matches can be found.

Abstract: The present invention extends to methods, systems, and computer program products for selecting candidate records for deduplication from a table. A table can be processed to compute an inverse index for each field of the table. A deduplication algorithm can traverse the inverse indices in accordance with a flexible user-defined policy to identify candidate records for deduplication. Both exact matches and approximate matches can be found.

Abstract: The present invention extends to methods, systems, and computer program products for selecting candidate records for deduplication from a table. A table can be processed to compute an inverse index for each field of the table. A deduplication algorithm can traverse the inverse indices in accordance with a flexible user-defined policy to identify candidate records for deduplication. Both exact matches and approximate matches can be found.

Abstract: The present invention extends to methods, systems, and computer program products for selecting candidate records for deduplication from a table. A table can be processed to compute an inverse index for each field of the table. A deduplication algorithm can traverse the inverse indices in accordance with a flexible user-defined policy to identify candidate records for deduplication. Both exact matches and approximate matches can be found.

Abstract: The subject disclosure generally relates to parsing unstructured data based on knowledge of domains related to the unstructured data. A domain identification component can identify a set of domains related to a term in a data set. An inspection component can identify unmatched words, and unmatched related domains. A correlation component can compare the unmatched words to known values for the unmatched domains, and a manager component can match the unmatched words with the unmatched domains based on the comparison. In addition, combinations of the words can be generated based on a set of predetermined rules, and compared to the unmatched domains. Furthermore, delimiter based parsing can be employed to augment the knowledge based parsing.

Abstract: Correlating activity events to identify a root cause of a process failure. Activity event data is received from a process executing on a computing device. The activity event data corresponds to a plurality of activity events. Each of the activity events has a correlation identifier, a resolution status, and an occurrence time value associated therewith. Each of the activity events are assigned to one of a plurality of event groups based on the correlation identifier of the activity event. Thereafter, at least one of the event groups is determined to have an activity event with a resolution status indicating failure of the process. One of the activity events within the determined event group is selected as a root cause activity event based on the occurrence time values. In some embodiments, the root cause activity event is identified to a user of the computing device.

Abstract: Correlating activity events to identify a root cause of a process failure. Activity event data is received from a process executing on a computing device. The activity event data corresponds to a plurality of activity events. Each of the activity events has a correlation identifier, a resolution status, and an occurrence time value associated therewith. Each of the activity events are assigned to one of a plurality of event groups based on the correlation identifier of the activity event. Thereafter, at least one of the event groups is determined to have an activity event with a resolution status indicating failure of the process. One of the activity events within the determined event group is selected as a root cause activity event based on the occurrence time values. In some embodiments, the root cause activity event is identified to a user of the computing device.