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Streaming IoT sensor data with LocationTech GeoMesa, Apache Kafka, and NiFi

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Streaming IoT sensor data with LocationTech GeoMesa, Apache Kafka, and NiFi
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237
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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As IoT-based use cases increase, so has the need to create real-time geospatial views of the data generated. In this talk, we will describe how LocationTech GeoMesa integrates with Apache Kafka and Apache NiFi to enable spatial data streaming and data management. The first part of the talk will dive into the details of indexing observation data for entities moving through space and time. Examples will show how GeoServer can be polled to show a live picture of multiple moving entities. The second part of the talk will focus on using NiFi to route data through an enterprise. Apache NiFi provides a visual programming interface to create, represent, and monitor data flows. The GeoMesa-NiFi project provides Processors which allow for handling spatial data with GeoMesa and GeoTools DataStores. Authors and Affiliations – Jim Hughes, CCRi Track – Software Topic – New trends: IoT, Indoor mapping, drones - UAV (unmanned aerial vehicle), Artificial intelligence - machine learning, deep learning-, geospatial data structures, real time raster analysis Level – 2 - Basic. General basic knowledge is required. Language of the Presentation – English