Guidance for Customizing Normalization Library for AWS Entity Resolution
Overview
This Guidance demonstrates how to customize and apply normalization rules on data as it arrives and prepare it for AWS Entity Resolution. Normalization standardizes the input data through tasks such as removing extra spaces and special characters or standardizing to lowercase. This Guidance provides a cloud development kit (CDK) code that demonstrates how to read the data input from an Amazon Simple Storage Service (Amazon S3) bucket, apply the normalization rules, and prepare the resultant dataset for use in AWS Entity Resolution.
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
Well-Architected Pillars
The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.
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Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
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