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Johnson & Johnson is a global health care leader with 270 operating companies in 60 countries. Operating at this scale requires a decentralized model that supports the autonomy of the different companies under the J&J umbrella, while still allowing knowledge and infrastructure frameworks to be shared across the different businesses. To address this problem, J&J created an Amazon VPC, which provides simplified architecture patterns that J&J’s application teams leveraged throughout the company using a self-service model while adhering to critical internal controls. Hear how J&J leveraged Amazon S3, Amazon Redshift, Amazon RDS, Amazon DynamoDB, and Amazon Kinesis to develop these architecture patterns for various use cases, allowing J&J’s businesses to use AWS for its agility while still adhering to all internal policies automatically. Learn how J&J uses this model to build advanced analytic platforms to ingest large streams of structured and unstructured data, which minimizes the time to insight in a variety of areas, including physician compliance, bioinformatics, and supply chain management.
Publisher: Amazon Web Services
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