Spatiotemporal Big Data Store
Table of contents
This is the technology provided to work with observational data, it can be moving objects, changing attributes of stationary sensors, or both.
The spatiotemporal big data store enables archival of high volume observation data, sustains high velocity write throughput, and can run across multiple machines (nodes). Adding additional machines adds capacity, enabling you to store more data, implement longer retention policies of your data, and support higher data write throughput.
It allows in-flight aggregations of up to hundreds of millions of geometries.
Bear in mind that working with point geometry is not the same as working with linear or polygonal geometries, as each of these geometries can be large in size.
Note: it has been a developer from Elasticsearch.
Learn more about the spatiotemporal big data store.
- Spatiotemporal Big Data Store
- Troubleshooting guide for ArcGIS Spatiotemporal Big Data Store
- Tutorial - Spatiotemporal Big Data Store (2016)
|DevSummit 2018||Real-Time and Big Data GIS: Leveraging the Spatiotemporal Big Data Store||1h 05min 51secs|
|DevSummit 2017||Big Data: GeoEvent & GeoAnalytics, Leveraging the Spatiotemporal Big Data Store||58:56|