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.
Publisher: Amazon Web Services
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