AWS re:Invent 2016: Case Study: How Monsanto Uses Amazon EFS with Geospatial Data Sets (STG208)

Published on Dec 03, 2016

At Monsanto, we build and use technologies that support our data and also BI efforts that facilitate intelligent, data-driven decisions. In the past year, we've embarked on large-scale efforts to modernize our geospatial platform and improve our analytic processing capabilities by building out new cloud and open-source based services. We found using Amazon Elastic File System (Amazon EFS) gave us the flexibility and performance we were seeking while saving us significant time, effort, and cost. In this session, we discuss how Monsanto uses the Amazon EFS service to run our large scaling geospatial data sets such as raster, and to perform highly parallelized analytics for data scientists and business users. Topics include the technical architecture, how and why we chose EFS for handling data sets that are terabytes in size, our recommendations, and the lessons learned along the way.