Scenarios
In this section
- Using tMatchGroup with the Simple VSR Matcher and T-Swoosh algorithms
- Grouping output data in separate flows according to the minimal distance computed in each record
- Using survivorship functions to merge two records and create a master record
- Matching customer data through multiple passes
- Matching data through multiple passes using Map/Reduce components
- Importing match rules from the studio repository
- Matching entries using the Q-grams and Levenshtein algorithms
- Using a custom matching algorithm to match entries
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