In this session, we will showcase how we extended the Spark framework to enable the easy consumption and visualization of massive spatial and temporal dataset. This vector and image data can be at rest or in motion, and takes advantage of the batch and streaming capabilities of Spark. A demonstration will start with the utilization of the REPL shell, followed by SQL spatial extensions and terminates with a streaming visualization.
Mansour Raad, BigData Advocate, Senior Software Architect, Esri With over 25 years of experience in the IT/GIS field, Mansour is a Cloudera Certified Hadoop Developer, HBase Expert and a BigData advocate within Esri. He is using his command of GIS technologies to design and implement the next-generation BigData geospatial solutions. Mansour holds a Master’s degree in Aerospace Engineering from Boston University and frequently blogs on BigData topics and examples of BigData implementations at http://thunderheadxpler.blogspot.com.