All kinds of vehicles (ships, planes, cars, buses, etc.) have their location emitted nowadays. Visualizing those Geospatial data points on maps seems trivial if you only work with the latitude and longitude values on a map chart. Once you try to visualize if vehicles enter or exit a (forbidden) area, called a geofence, this is not trivial anymore.

Using the power of Microsoft Fabric Map and KQL databases, we are in full control of both visualizing shapes like polygons, circles, and more on your maps. You can also calculate the whereabouts of those vehicles using geospatial functions to have a full grasp of where vehicles are, should be, and should not be.

Attendees learn about representing locations and shapes in Microsoft Fabric Map. They experience how to enforce geofencing based on geospatial data using the power of the KQL query language. Along the way, Microsoft Fabric RTI is introduced for ingesting and storing GPS data coming from GPS trackers.

This presentation is supported by several live demos using Microsoft Fabric Real-Time Intelligence for ingesting and storing, transforming, and representing real-time data.

This presentation is supported by several live demos using Microsoft Fabric and real-time data. We work with (recorded) live tracking data.