zinggai/zingg

Zingg is a Spark-based entity-resolution and master-data tool. Its principal workflow configures input data and field comparisons, builds training examples through active labeling, learns blocking and similarity models, then matches records and emits linked or clustered results. The README also documents broad file, database, and cloud connectors, domain-specific matching functions, and stop-word recommendations. The map uses the supplied tree and excerpts; several phase implementations and connector details were not sampled, so uncertain runtime wiring is omitted.