Real-Time and Big Data GIS: Leveraging the Spatiotemporal Big Data Store

From Esri May 11th, 2018

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ArcGIS GeoEvent Server and ArcGIS GeoAnalytics Server work with real-time and big data through the spatiotemporal big data store available in ArcGIS Data Store. Real-time observational data can come from moving objects, changing attributes of stationary sensors, or both. Learn how the spatiotemporal big data store enables the archival of observation data, sustains high-velocity write throughput, and runs across multiple nodes to enable high-volume storage. Discover how to use GeoAnalytics Server with the spatiotemporal big data store, both as a data source and to store the results of big data analytics. Take an in- depth look at how to configure Data Store, write high-velocity data to it, visualize and query high-volume data via map and feature services, and use it for the input or results of distributed analytics.

Tags: esriarcgisgisesri eventssuzanne fossricardo trujilloesri developer summit 2018esri devsummit 2018esri technical sessionsgeoevent servergeoanalytics serverarcgis data storesensors

Last updated: March 1st, 2023
Appears In: 2018 Esri Developer Summit Events Conferences Esri Developer Summit

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Real-Time and Big Data GIS: Leveraging the Spatiotemporal Big Data Store

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