Amazon Entity Resolution
Amazon Entity Resolution is a service that helps you match and link related records across multiple applications, channels, and data stores using machine learning and configurable matching techniques to identify and consolidate records that refer to the same entity.
APIs
Amazon Entity Resolution API
API for creating and managing matching workflows, schema mappings, and ID mapping tables for matching and linking related records across data sources.
Capabilities
Amazon Entity Resolution Management
Unified capability for managing Amazon Entity Resolution resources. Combines Amazon Entity Resolution APIs for Data Analyst workflows in Data Quality.
Run with NaftikoFeatures
Use machine learning models to match records across disparate datasets
Configure deterministic matching rules for exact and fuzzy matching
Create and manage identity graphs linking records across data sources
Map input data schemas to standardized formats for consistent matching
Enrich records with data from LiveRamp, Unified ID 2.0, and others
Use Cases
Create a single customer view by matching records across CRM, marketing, and transaction systems
Identify and remove duplicate records from databases and data lakes
Link user identities across devices and channels for targeted advertising
Match patient records across different healthcare providers and systems
Integrations
Use Glue Data Catalog to discover and access input data sources
Store matching job input and output data in S3
Query matching results using Athena SQL
Access LiveRamp identity data through the third-party provider integration