Customer Spotlight: Cerner’s Ryan Brush Presents “Thinking in MapReduce” at StampedeCon

Categories: Hadoop MapReduce Use Case

For those of you attending this week’s StampedeCon event in St. Louis, I’d encourage you to check out the “Thinking in MapReduce” session presented by Cerner’s Ryan Brush. The session will cover the value that MapReduce and Apache Hadoop offer to the healthcare space, and provide tips on how to effectively use Hadoop ecosystem tools to solve healthcare problems.

Big Data challenges within the healthcare space stem from the standard practice of storing data in many siloed systems. Hadoop is allowing pharmaceutical companies and healthcare providers to revolutionize their approach to business by making it easier and more cost efficient to bring together all of these fragmented systems for a single, more accurate view of health. The end result: smarter clinical care decisions, better understanding of health risks for individuals and populations, and proactive measures to improve health and reduce healthcare costs.

Hadoop is quickly becoming a core component of Cerner’s data management environment, complementing existing relational systems. (Cerner has more than a petabyte across all Hadoop clusters today, and multiple petabytes on relational systems.) The unique value delivered by Hadoop lies in its ability to combine unstructured with structured data, and to then apply complex computations to that data at large scale.

For example, Brush’s team is building search indexes for semi-structured medical docs that allow users to find information on heart attacks, incorporating both data that use colloquial language (e.g. “heart attack”; “heart disease”) or scientific terminology (e.g. “myocardial infarction”; “MI”; “acute MI”; “ST-elevation myocardial infarction”; “non-ST-elevation myocardial infarction”). This is no simple task, but with Hadoop and MapReduce, it is feasible.

In Ryan’s session, which takes place on Weds., July 31, at 9:10am, he will walk through the basics of MapReduce, design best practices for logic and data models in Hadoop, and how Cerner is applying MapReduce design patterns to solve big healthcare problems. Don’t miss it!

Karina Babcock is Cloudera’s Customer Programs & Marketing Manager.