AWS re:Invent 2017: Simplifying Healthcare Data Management on AWS (HLC301) – #AWS

Healthcare data is often large and complex enough to be complete, or simple enough to be usable: choose one. In this session, you will learn how Cerner tackled this problem for healthcare and other complex data sets on AWS. Cerner started with patterns to quickly evolve an infrastructure based on AWS to meet new demands, move into data engineering techniques on Apache Spark to make otherwise unmanageable data sets simple and usable, and connect that through to popular front-end tools for analysts and data scientists like Jupyter. You will also learn how Cerner is helping healthcare informaticians focus more on their analysis and less on undifferentiated heavy data lifting.

via Amazon Web Services

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- Launched in 2006, Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services from data center locations in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, and Singapore. More than a million customers, including fast-growing startups, large enterprises, and government agencies across 190 countries, rely on AWS services to innovate quickly, lower IT costs and scale applications globally. To learn more about AWS, visit http://aws.amazon.com.

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