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SQS Entity Resolution using Senzing

This is an implementation of entity resolution using Senzing with AWS SQS. Data is sent to an SQS queue, which is processed by a "consumer" service that forwards the data to Senzing for entity resolution. The results can then be exported to an S3 bucket.

architecture-beta
  group vpc(cloud)[VPC]

  service queue(database)[SQS Queue] in vpc
  service consumer(server)[Consumer] in vpc
  service senzing(server)[Senzing] in vpc
  service db(database)[PostgreSQL] in vpc
  service s3(disk)[S3 Bucket]

  consumer:L --> T:queue
  consumer:B --> T:senzing
  senzing:R --> L:db
  senzing:B --> L:s3
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An entity resolution system built to run on AWS using SQS.

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