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Thursday, March 22 • 2:30pm - 3:20pm
Spatial Analytics with Spark & Big Data
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Sensor feeds and social media data contain much latent location information such as addresses, place names, and GPS coordinates. How can you uncover those location relationships and patterns for better business insights? How can build applications to track moving objects in real time? Learn about spatial technologies for Spark, Hadoop, and NoSQL, and how to build analytic applications using Java. Oracle Big Data Spatial and Graph offers a set of analytic algorithms, services, and data models that support big data workloads. Data scientists and developers can be more productive by using dozens of prebuilt spatial functions and services. Users can harmonize data and group results based on spatial relationships, track moving objects, and apply spatial services to cleanse, filter, normalize, and process geospatial data sets, and easily perform spatial queries with new Hive and Spark SQL features.
Speakers
avatar for LJ Qian

LJ Qian

Director, Software Development, Oracle
Dr. Liujian (LJ) Qian obtained his Ph.D from Penn State, and Master's degree from the Institute of Computing Technology, Academia
avatar for Siva Ravada

Siva Ravada

Senior Director of Engineeting, Oracle, USA
Siva manages the development team for Oracle’s spatial technologies. He is one of the founding members of the development of Spatial technologies in Oracle since the Oracle7 release. He holds numerous patents, has several journal and conference publications, and authored a book... Read More →

Thursday March 22, 2018 2:30pm - 3:20pm PDT
3-Rm 103
  Spatial and Graph