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Hello!
To begin with, In Amazon Entity Resolution you can use Rule-based matching to get exact matches or Machine learning-based matching to get matches across your data that might be incomplete or might not look exactly the same. During my research, I came across a blog that talks about how you can use the algorithm in the AWS Lambda function works by converting each string to a collection of n-grams.
You can read more about the complete serverless solution as mentioned in this documentation.
Additional example can be found in this link.
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