Abstract: Systems, methods, and other embodiments associated with bulk matching with update functionality are described. In one embodiment, a method includes receiving a first new record for matching with other records. The method includes querying a database that stores respective single best records (SBR) for respective sets of matching records to return SBR information. The first new record is matched to the other records by comparing the first new record to the SBR information to identify an SBR that matches the first new record. The first new record is associated with the identified SBR in the database.

Abstract: A method for matching bulk data, involving receiving a plurality of input records, performing block distribution on the plurality of input records to obtain a plurality of block records, wherein performing block distribution comprises distributing the plurality of input records to a first plurality of containers, performing concurrent matching operations on the plurality of block records to obtain a plurality of single best records, and loading the plurality of single best records into a master index database.

Abstract: A system is provided that that dynamically matches data originating from one or more data sources. The system analyzes a matching configuration file, where the matching configuration file includes one or more matching configurations. The system modifies a probabilistic matching algorithm of a matching engine at runtime based on the one or more matching configurations and based on two or more data records of the plurality of data records that require matching. The system compares two data records of a plurality of data records using the modified probabilistic matching algorithm. The system generates a match score for the two data records based on the match weight for each data record field.

Abstract: A system is provided that that dynamically matches data originating from one or more data sources. The system analyzes a matching configuration file, where the matching configuration file includes one or more matching configurations. The system modifies a probabilistic matching algorithm of a matching engine at runtime based on the one or more matching configurations and based on two or more data records of the plurality of data records that require matching. The system compares two data records of a plurality of data records using the modified probabilistic matching algorithm. The system generates a match score for the two data records based on the match weight for each data record field.

Abstract: A method for matching bulk data, involving receiving a plurality of input records, performing block distribution on the plurality of input records to obtain a plurality of block records, wherein performing block distribution comprises distributing the plurality of input records to a first plurality of containers, performing concurrent matching operations on the plurality of block records to obtain a plurality of single best records, and loading the plurality of single best records into a master index database.