Splunk Inc.

Paul Boster

Cary Glen Noel

Isabelle Park

Keith Kramer

Systems and methods are disclosed for implementing a data stream correlation user interface. The data stream correlation user interface enables users to view information from two sets of records, and identify fields in the two sets of records that can be matched together to 'glue' together multiple records. For example, a user may specify that values in an 'AcctID' field in one set of records can be matched to values in an 'Account_ID' field of a second set of records. Additional identifying fields may be selected, such that multiple values can be chained together. The system can match the records of multiple sets together using designated fields, enabling users to view how many records from one set have a corresponding record in another set.

Data source correlation user interface

Systems and methods are disclosed for implementing a data stream correlation user interface. The data stream correlation user interface provides workflows for selecting individual data sources from a matrix of data sources, identifying individual data fields of the data sources, establishing criteria for determining correlations between them, and reviewing and enabling user verification of correlated data sources. Correlations may be established based on the values of data fields in individual records of the data sources, and may be determined based on correspondences or associations between the values, lookup tables, formulas, user-specified criteria, or other relationships.

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San Francisco, CA, United States of America

Paul Boster