Applying Geospatial Analytics at a Massive Scale Using Kafka, Spark and Elasticsearch on DC/OS

Explore how DC/OS and Mesos enable massive-scale geospatial analytics using Kafka, Spark, and Elasticsearch in this 41-minute conference talk by Adam Mollenkopf from Esri. Discover Esri's approach to establishing a foundational operating environment for high-velocity IoT data consumption, streaming analytics, and high-volume spatiotemporal data storage and querying. Learn about making DC/OS applications portable across public cloud providers, private cloud providers, and on-premise environments. Gain insights into real-time and big data capabilities in the ArcGIS platform through demonstrations and examples of temporal operators, aggregate points, and aggregate bins. Understand the deployment process, including installing DC/OS, Kafka, and Elasticsearch, and explore challenges such as autoscaling, metrics, stateful processing, and recurring batch analytics using Apache Spark and Metronome.