How Apache Kafka improves your healthcare big data architecture

Join us with Confluent and Pivotal for this exciting talk on how Apache Kafka can improve access to timely data for Healthcare. See a FHIR demo & understand how machine learning algorithms can be improved.

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PRE-REGISTER HERE to expedite your sign-in at the event: https://forms.gle/PSwsUYoiy8QDFStr5
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AGENDA:
6:00pm - 6:30 pm: Doors Open, Networking, Pizza and Drinks
6:30pm - 7:15pm: Joe Crobak, Software Engineer, Confluent
7:15pm - 7:45 pm: Any additional speakers or lightning talks
7:45pm - 8:00pm: Q&A and Networking

TITLE: How Apache Kafka improves your healthcare big data architecture

ABSTRACT:

A big data architecture built on Apache Kafka improves access to timely data and enables new use cases through access to both current and historic data. In this talk, we’ll introduce Apache Kafka, describe how it fits into your big data architecture, and demo how to store healthcare data sets using FHIR. Finally, we'll explore how this new architecture can improve machine learning algorithms through access to better data.

SPEAKER BIO:

Joe Crobak is a software engineer at Confluent, where he works on large scale distributed systems. Previously, Joe has worked on healthcare systems both inside the government (as co-CTO of the Quality Payment Program at the Centers for Medicare and Medicaid Services) and consulting/advising health tech startups. He also runs dataengweekly.com.