BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//talks.osgeo.org//foss4g-europe-2026//speaker//CXTHFZ
BEGIN:VTIMEZONE
TZID:EET
BEGIN:STANDARD
DTSTART:20001029T050000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:EET
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:EEST
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-foss4g-europe-2026-L3YPNX@talks.osgeo.org
DTSTART;TZID=EET:20260629T150000
DTEND;TZID=EET:20260629T153000
DESCRIPTION:The volume of data to be processed and published continues to g
 row rapidly\, particularly in domains such as maritime monitoring\, where 
 continuous streams of AIS data must be ingested\, processed\, and visualiz
 ed. At the same time\, the infrastructure\, technologies\, and methodologi
 es required to manage these data streams are steadily advancing and maturi
 ng. GeoServer\, an open-source web service for publishing geospatial data\
 , supports industry standards for vector\, raster\, and map delivery\, and
  is widely used by organizations to disseminate geospatial information at 
 scale.\n\nIn this work\, we integrated GeoServer with established big data
  technologies\, including Apache Kafka and Databricks\, deploying the solu
 tion on Microsoft Azure. The resulting architecture is designed to support
  demanding maritime use cases\, enabling near real-time visualization of i
 ncoming AIS data while also supporting large-scale batch processing and an
 alysis of historical datasets.\n\nThis presentation describes the system a
 rchitecture and the key challenges addressed by GeoSolutions in publishing
  high-volume\, high-velocity data through GeoServer’s OGC services (WMS\
 , WFS\, and WPS). Particular attention is given to achieving an effective 
 balance between data ingestion throughput and visualization performance. T
 he solution integrates with a streaming processing platform responsible fo
 r ingesting\, transforming\, and storing data in an Azure Data Lake\, allo
 wing GeoServer to efficiently query the most recent features while enforci
 ng complex authorization policies. To meet these requirements\, several cu
 stom GeoServer extensions were developed\, addressing advanced authorizati
 on scenarios\, specialized styling needs for maritime data\, and seamless 
 integration with big data platforms.
DTSTAMP:20260605T021519Z
LOCATION:A02
SUMMARY:Operating Maritime AIS at Enterprise Scale with GeoServer - Andrea 
 Aime\, Nuno Oliveira
URL:https://talks.osgeo.org/foss4g-europe-2026/talk/L3YPNX/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-foss4g-europe-2026-E7GXTY@talks.osgeo.org
DTSTART;TZID=EET:20260701T100000
DTEND;TZID=EET:20260701T103000
DESCRIPTION:This presentation explores GeoServer’s capabilities for publi
 shing rich data models\, including complex features with nested properties
  and multi-valued relationships\, through standard OGC services and OGC AP
 I - Features. It focuses on recent developments such as the Smart Data Loa
 der and Feature Templating extensions\, highlighting both current capabili
 ties and ongoing and planned enhancements within the GeoServer ecosystem.\
 n\nGeoServer already provides strong support for implementing view and dow
 nload services for complex data models through its core architecture and a
  range of free and open-source extensions. Among these\, App-Schema has lo
 ng been the primary solution for modeling and exposing complex feature str
 uctures and enabling advanced vector data services\, despite its steep lea
 rning curve.\n\nBuilding on these foundations\, newer approaches are emerg
 ing to simplify and modernize the publication of rich data models. These i
 nclude direct integration with NoSQL data sources such as MongoDB\, levera
 ging their native document-oriented structures\, as well as support for mo
 dern output formats like JSON-LD\, which enables the embedding of explicit
  semantics alongside the data.\n\nThe session will conclude with real-worl
 d use cases from organizations that have adopted GeoServer and GeoSolution
 s solutions\, providing practical insights\, architectural patterns\, and 
 lessons learned to help attendees effectively design and implement scalabl
 e\, production-ready services for complex data models.
DTSTAMP:20260605T021519Z
LOCATION:A13
SUMMARY:Publishing rich data models in GeoServer with Smart Data Loader and
  Feature Templating - Andrea Aime\, Nuno Oliveira
URL:https://talks.osgeo.org/foss4g-europe-2026/talk/E7GXTY/
END:VEVENT
END:VCALENDAR