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
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
2026
2024
2024
2025
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.