AWS re:Invent 2014 | (HLS201) Using AWS and Data Science to Analyze Vaccine Yield

Опубликовано 20 ноября 2014, 20:03

Producing vaccines is a significant and complex effort that spans manufacturing, biological materials, streaming data, and complex computational challenges. In this session, speakers from Merck and Booz Allen Hamilton discuss how they partnered to leverage AWS and data science techniques, enabling them to pioneer new approaches for analyzing vaccine production yields. The solution they created combines a shared data lake service built on AWS services-such as Amazon EC2 and Amazon VPC-as well as Hadoop MapReduce, HDFS, Hive, and R to implement the data science infrastructure and analysis that created models of complex biological processes. As a result of this project, Merck has analyzed 12 years of vaccine manufacturing data from 16 data sources, conducted over 15 billion calculations, and was recognized with the InformationWeek Elite Business Innovation Award for the innovative application of data science towards enhancing vaccine yield rates and saving lives.Sponsored session.