Spectrum Advanced Matching stages match records between and within any number of input files. You can also use Spectrum Advanced Matching stages to match on a variety of fields including name, address, name and address, or non-name and address fields, such as social security number or date of birth.
Stage | Description |
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Best of Breed | This stage selects a best-of-breed record from the duplicates cluster by selecting a template record, then using that record to build a composite record that becomes the survivor record. |
Candidate Finder | This stage finds candidate records that will form the set of potential matches that the Transactional Match stage will evaluate. Candidate Finder is used with Transactional Match. |
Duplicate Synchronization | This stage allows you to specify fields from a collection of records to copy (post) to the corresponding fields of all records in the collection. |
Filter | This stage allows you to specify the criteria that records must satisfy to be retained or removed from a collection of duplicate records, either for further processing downstream or for your output file. |
Group Key Generator | This stage uses a group strategy to create group keys and transitively merge selected fields. |
Interflow Match | This stage identifies matches between similar data records across multiple input streams. |
Intraflow Match | This stage identifies matches between similar data records within a single input stream. |
Match Key Generator | This stage creates a non-unique key shared by all like records. You have the option of grouping records that share the same key for comparison. |
Transactional Match | This stage matches suspect transactions against a database using the Candidate Finder Stage to query and return potential candidate records. |
Write to Search Index | This stage enables you to create a full-text index based on the data that the stage is accepting for processing. You can retain data in a dedicated search index to improve response times when searching the Candidate Finder. |