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UID:pretalx-foss4g-2022-KZBJ3M@talks.staging.osgeo.org
DTSTART;TZID=CET:20220826T120000
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DESCRIPTION:The amount of data we have to process and publish keeps growing
  every day\, fortunately\, the infrastructure\, technologies\, and methodo
 logies to handle such streams of data keep improving and maturing. GeoServ
 er is a web service for publishing your geospatial data using industry sta
 ndards for vector\, raster\, and mapping. It powers a number of open sourc
 e projects like GeoNode and geOrchestra and it is widely used throughout t
 he world by organizations to manage and disseminate data at scale. We inte
 grated GeoServer with some well-known big data technologies like Kafka and
  Databricks\, and deployed the systems in Azure cloud\, to handle use case
 s that required near-realtime displaying of the latest received data on a 
 map as well background batch processing of historical data. \n\nThis prese
 ntation will describe the architecture put in place\, and the challenges t
 hat GeoSolutions had to overcome to publish big data through GeoServer OGC
  services (WMS\, WFS\, and WPS)\, finding the correct balance that maximiz
 ed ingestion performance and visualization performance. We had to integrat
 e with a streaming processing platform that took care of most of the proce
 ssing and storing of the data in an Azure data lake that allows GeoServer 
 to efficiently query for the latest available features\, respecting all th
 e authorization policies that were put in place.  A few custom GeoServer e
 xtensions were implemented to handle the authorization complexity\, the ad
 vanced styling needs\, and big data integration needs.
DTSTAMP:20260403T222552Z
LOCATION:Room Verde
SUMMARY:Processing and publishing big data with GeoServer and Azure in the 
 cloud - Nuno Oliveira
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/KZBJ3M/
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