Zingg is a scalable fuzzy matching for data mastering, deduplication and entity resolution. Real world data contains multiple records belonging to the same customer. These records can be in single or multiple systems and they have variations across fields which makes it hard to combine them together, especially with growing data volumes. Zingg integrates different records of an entity like customer, patient, supplier, product etc in same or disparate data sources.

Zingg - Scalable fuzzy matching for data mastering, deduplication and entity resolution

Discover open source projects across all platforms

fuzzy-matching,identity-resolution,dedupe,dataquality,entity-resolution,agplv3,spark,etl,fuzzymatch,dataengineering,data-science,ml,java,data-transformation - open source projects

Projects

Zingg - Scalable fuzzy matching for data mastering, deduplication and entity resolution

Tagcloud

Suggested keywords:

Projects

Zingg - Scalable fuzzy matching for data mastering, deduplication and entity resolution

Tagcloud