scenarios/basics/entity_resolution/README.md
This AWS Entity Resolution basic scenario demonstrates how to interact with the AWS Entity Resolution service using an AWS SDK. This application demonstrates how to use AWS Entity Resolution to integrate and deduplicate data from multiple sources using machine learning-based matching. The program walks through setting up AWS resources, uploading structured data, defining schema mappings, creating a matching workflow, and running a matching job.
Note: See the specification document for a complete list of operations.
AWS Glue Data Catalog table
AWS IAM role
AWS S3 bucket
AWS Entity Resolution Schema
Uploads sample JSON and CSV data to S3
Creates schema mappings for JSON and CSV datasets
Creates and starts an Entity Resolution matching workflow
Retrieves job details and schema mappings
Lists available schema mappings
Tags AWS resources for better organization
Views the results of the workflow
This Basics scenario requires an IAM role that has permissions to work with the AWS Entity Resolution service, an AWS Glue database, and an S3 bucket. A CDK script is provided to create these resources. See the resources Readme file.
This scenario example will be implemented in the following languages:
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. SPDX-License-Identifier: Apache-2.0