Making Sense of Location: Tracking, Visualizing & Analyzing Objects in 2D, 3D & 4D

Location information is a common element in many Big Data scenarios, in Smart Cities or in the context of the Internet of Things. This kind of positional data can explicitly be expressed as coordinates if it comes from a GPS sensor or it can be implicitly included in a postal code, a city or a landmark name, occurring in two or three dimensions, potentially even using time as the 4th dimension. For many years, Oracle has been offering technologies to manage, to analyze and to visualize this kind of data. In this session, we will review the basics of database development for geospatial data, both on-premise as well as in the cloud. We will look at tracking and tracing of moving objects, spatial data visualization, as well as more advanced analytics based on road networks. Two customer projects in Germany and Belgium are included to round off the session.