Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Martin Mendez-Costabel

Martin Mendez-Costabel
Geospatial Data Asset Team Lead, Bayer Crop Science

Martin Mendez-Costabel leads the Geospatial Data Asset team for Monsanto’s Products and Engineering organization within the IT department, where he drives the engineering and adoption of global geospatial data assets for the enterprise. He has more than 12 years of experience in the agricultural sector covering a wide range of precision agriculture-related roles, including data scientist and GIS manager for E&J Gallo Winery in California. Martin holds an agronomy degree (BSc) from the National University of Uruguay and two viticulture degrees: an MSc from the University of California, Davis and a PhD from the University of Adelaide in Australia.

Sessions

5:10pm–5:50pm Wednesday, March 15, 2017
The enterprise geospatial platform: A perfect fusion of cloud and open source technologies
Big data and the Cloud
 Location: LL21 E/F Level: Intermediate
Secondary topics:  Architecture, Cloud, Geospatial
Naghman Waheed (Bayer Crop Science), Martin Mendez-Costabel (Bayer Crop Science)
Average rating: ****.
(4.00, 1 rating)
Recently, the volume of data collected from farmers' fields via sensors, rovers, drones, in-cabin technologies, and other sources has forced Monsanto to rethink its geospatial processing capabilities. Naghman Waheed and Martin Mendez-Costabel explain how Monsanto built a scalable geospatial platform using cloud and open source technologies. Read more.