Amazon SageMaker
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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
This solution intelligently links & combines records from two related data sources into a single master record. The module acts as a crucial component in Master Data Management. It assigns a common ID to records belonging to the same entity/duplicates. The probabilistic linkage algorithm provides the flexibility to find duplicate records based on a required match percentage given the columns of interest. The Data Linkage module is applicable in scenarios such as: (a) Linking medical records of patients from different health care providers (b) Linking information from different external data sources (c) Linking census records of persons over a period of time. (d) Linking consumer product information from different sources (reviews, sellers etc.,)
Key Data
| Version | |
| By | Mphasis |
| Categories | |
| Type | Model Package |
| Fulfillment Methods | Amazon SageMaker
|
Usage Information
Additional Resources
End User License Agreement
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Support Information
Data Deduplication & Record Linkage
For any assistance, please reach out to:
https://www2.mphasis.com/AWS-Marketplace-Support-LP.htmlAWS Infrastructure
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Refund Policy
Currently we do not support refunds, but you can cancel your subscription to the service at any time.