Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Geospatial conference sessions

Praveen Murugesan explains how Uber leverages Hadoop and Spark as the cornerstones of its data infrastructure. Praveen details the current data architecture at Uber and outlines some of the unique challenges with data processing Uber faced as well as its approach to solving some key issues in order to continue to power Uber's real-time marketplace.
Geospatial analysis can provide deep insights into many datasets. Unfortunately the key tools to unlocking these insights—geospatial statistics, machine learning, and meaningful cartography—remain inaccessible to nontechnical audiences. Stuart Lynn and Andy Eschbacher explore the design challenges in making these tools accessible and integrated in an intuitive location intelligence platform.
Sikorsky collects data on-board thousands of helicopters deployed worldwide that is used for fleet management services, engineering analyses, and business intelligence. Mike Koelemay explores the data platform that Sikorsky has built to manage the ingestion, processing, and serving of this data so that it can be used to rapidly generate information to drive decision making.