Apache: Big Data 2016

This session will explore how to apply spatiotemporal analytics using Apache Spark on high velocity streaming data-in-motion and high volume batch data-at-rest. A comparison of available open source geospatial libraries will be reviewed including Apache SIS, Magellan, JTS, and the esri/geometry-api-java. Demonstrations will be shown on how to integrate a geospatial library with Spark analytics and how these analytics can be run on an Apache Mesos cluster to provide a highly scalable solution with elastic capabilities. Examples will focus on applications in the connected car space and smart cities and smart communities.