Case Study

Data Mesh on AWS for Healthcare & Life Sciences

Data Mesh on AWS for Healthcare & Life Sciences

AWS enables healthcare and life sciences organizations to implement a data mesh architecture, allowing secure, scalable, and decentralized data access across teams. Services like Amazon HealthLake, Amazon Omics, and Amazon DataZone facilitate data ingestion, cataloging, and governance while ensuring compliance. By leveraging AWS Lake Formation and Athena, organizations can efficiently manage metadata, enforce access controls, and enable AI-driven analytics. Data consumers use Redshift and ML tools to generate insights, accelerating discoveries and improving patient outcomes. AWS simplifies collaboration by unifying disparate datasets, enhancing interoperability, and providing a foundation for advanced analytics and machine learning.

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