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AWS Entity Resolution launches support for incremental Machine Learning based matching workflows

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This article announces AWS Entity Resolution's general availability of incremental Machine Learning-based matching workflows, eliminating the need to reprocess entire datasets when adding new records.

  • Process only new records since last workflow run, not entire dataset
  • 95% reduction in processing time for incremental records
  • 1M incremental records processed in under 1 hour
  • Supports up to 50M incremental records against 1B historical records
  • Significantly reduces infrastructure costs and processing bottlenecks
  • Available in all AWS Regions where Entity Resolution is offered

This enhancement makes large-scale entity resolution economically viable for enterprises by enabling continuous, efficient processing of new data without full dataset reprocessing.



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