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Accelerate Clinical Research with Real-World Data Using AWS Data Exchange for Amazon Redshift

AWS Partner Network Blog

This article discusses how healthcare and life sciences companies can leverage AWS Data Exchange and Amazon Redshift to accelerate clinical research using real-world data. It provides a step-by-step guide for data providers to set up Amazon Redshift Serverless, load data from Amazon S3 using AWS Lambda, and create a Redshift Data Share to commercialize the data product on AWS Data Exchange.

Specifically, the article covers:

  • Customer use case: A biopharmaceutical company accessing ophthalmology data for research
  • Solution overview and technical deployment details
  • Prerequisites and sample code
  • Step-by-step guide for creating Amazon S3 bucket, VPC, Redshift Serverless, AWS Lambda function, Redshift tables, data loading, and creating a Redshift Data Share
  • Conclusion highlighting the benefits of using AWS Data Exchange and Redshift for accelerating clinical research with real-world data
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