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Tuesday, June 5 • 11:30am - 12:15pm
Predicting Heart Failure with 125 dimensions and 1.7M Patients Leveraging Hadoop, Spark and R

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Cloudera’s Data Science Workbench (CDSW) allows data scientists to explore and analyze multi-terabyte data with tools in R and Python. In this session, we will summarize our experience and key findings with CDSW and R libraries in developing multivariate informatics applications against structured healthcare data, including some benchmarks against more traditional analytic environments. Technologies tested include Impala, Spark, dplyr, implyr, sparklyr, and other CRAN packages.

Speakers
avatar for Chris Manrodt

Chris Manrodt

Evidence Innovation Engineer, Medtronic


Tuesday June 5, 2018 11:30am - 12:15pm
Garden Room (Kopp A-B-C) Normandale Partnership Center, 9700 France Ave So, Bloomington, MN 55431