BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.osgeo.org//foss4g-2022//CXTHFZ BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-2022-RREDPC@talks.osgeo.org DTSTART;TZID=CET:20220824T144500 DTEND;TZID=CET:20220824T151500 DESCRIPTION:The presentation will provide a comprehensive introduction to G eoServer's own authentication and authorization subsystems. \nThe authenti cation part will cover the various supported authentication protocols (e.g . basic/digest authentication\, CAS\, OAuth2) and identity providers (such as local config files\, database tables and LDAP servers). \nIt will expl ain how to combine various authentication mechanisms in a single comprehen sive authentication tool\, as well as providing examples of custom authent ication plugins for GeoServer\, integrating it in a home-grown security ar chitecture.\n\nWe’ll then move on to authorization\, describing the GeoS erver pluggable authorization mechanism\, and comparing it with proxy base d solution. We will explain the default service and data security system\, reviewing its benefits and limitations.\n\nFinally we’ll explore the ad vanced authorization provider\, GeoFence. The different levels of integrat ion with GeoServer will be presented\, from the simple and seamless direct integration to the more sophisticated external setup. Finally we’ll exp lore GeoFence’s complex authorization rules using:\n- The current user a nd its roles.\n- The OGC services\, workspaces\, layers\, layer groups.\n- CQL read and write filters.\n- Attribute selection.\n- Cropping raster an d vector data to areas of interest. DTSTAMP:20260316T143853Z LOCATION:Modulo 0 SUMMARY:Mastering Security with GeoServer and GeoFence - Andrea Aime\, Nuno Oliveira URL:https://talks.osgeo.org/foss4g-2022/talk/RREDPC/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-2022-CQCHBF@talks.osgeo.org DTSTART;TZID=CET:20220825T144500 DTEND;TZID=CET:20220825T151500 DESCRIPTION:GeoServer is a well-established multiplatform\, open-source geo spatial server providing a variety of OGC services\, including WMS (view s ervices)\, WFS and WCS (download services) as well as WPS (spatial data pr ocessing services). Among the open-source GIS web servers\, GeoServer is w ell known for the ease of setup\, the web console helping the administrato r to configure data and services\, the variety of OGC services available o ut of the box\, as well as the rich set of data sources that it can connec t to (open source\, such as PostGIS as well as proprietaries\, such as Arc SDE\, Oracle or ECW rasters). GeoServer also provides several OGC APIs\, i ncluding the OGC API - Features which recently attracted the interest of t he INSPIRE community.\n\nAs far as the INSPIRE scenario is concerned GeoSe rver has extensive support for implementing view and download services tha nks to its core capabilities but also to a number of free and open-source extensions\; undoubtedly the most well-known (and dreaded) extension is Ap p-Schema which can be used to publish complex data models (with nested pro perties and multiple-cardinality relationships) and implement sophisticate d download services for vector data. Based on the feedback of App-Schema u sers collected over the years\, a new generation of open-source mapping ex tensions have been implemented in GeoServer: Smart Data Loader and Feature s Templating\, these extensions are built on top of App-Schema and ease th e mapping of the data models by allowing us to act directly on the domain model and target output schema using a what you see is what you get approa ch.\n\nThis presentation will introduce the new GeoServer Smart Data Loade r and Features Templating extensions\, covering in detail ongoing and plan ned work on GeoServer. We will also provide an overview about how those ex tensions are serving as a foundation for new approaches to publishing comp lex data: publishing data models directly from MongoDB\, embracing the NoS QL nature of it\, and supporting new output formats like JSON-LD which all ows us to embed well-known semantics in our data. Eventually\, real-world use-cases from the organizations that have selected GeoServer and GeoSolut ions to support their use cases will be introduced to provide the attendee s with references and lessons learned that could put them on the right pat h when adopting GeoServer. DTSTAMP:20260316T143853Z LOCATION:Room 9 SUMMARY:Publishing INSPIRE datasets in GeoServer made easy with Smart Data Loader and Features Templating - Nuno Oliveira\, Marco Volpini URL:https://talks.osgeo.org/foss4g-2022/talk/CQCHBF/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-2022-KZBJ3M@talks.osgeo.org DTSTART;TZID=CET:20220826T120000 DTEND;TZID=CET:20220826T123000 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:20260316T143853Z LOCATION:Room Verde SUMMARY:Processing and publishing big data with GeoServer and Azure in the cloud - Nuno Oliveira URL:https://talks.osgeo.org/foss4g-2022/talk/KZBJ3M/ END:VEVENT END:VCALENDAR