OggS OpusHead8 OggS DP"OpusTags Lavf57.83.100 LANGUAGE=eng HANDLER_NAME=SoundHandler ENCODER=Lavc57.107.100 libopus MAJOR_BRAND=isom MINOR_VERSION=512" COMPATIBLE_BRANDS=isomiso2avc1mp41 AUTHOR=Tomas Holderness GENRE=Talkc TITLE=A COG In The Machine - Using Cloud Optimised GeoTiffs to Query 24 Billion Pixels In Real-TimeQ COPYRIGHT=Licensed to the public under http://creativecommons.org/licenses/by/4.0! ALBUM=2019 FOSS4G Bucharest Talks ARTIST=Tomas Holderness description=How do you find one pixel in a billion? Cloud Optimized GeoTiffs are a new standard for raster data that support file-level access via the internet. Combined with serverless cloud technologies, raster data can now be queried by client-facing applications without the need for a spatial database or specialist server software. In this talk I present how we used COGs and serverless to build a fast and scalable application to query large raster data using point and polygon geometries. As well as providing an overview of the solution architecture, I’ll explore the challenges we face with large raster data and why we chose to develop the solution using these open source standards and technologies.OggS X F2OggS w 2OggS 2 Ӥ62OggS Gi2OggS ~#p2OggS e o/2OggS Mc3p C 睽4_șYhٟ?1e-(Oaբ#3S.$84AuT9jgNpIc0N?Y@me覱Xx+%`NŜ0r56ba)&|1ᓤ 7HudBu`e'SPmy /1[@<V !/B?8 |9-d+`ܢU{' j.m@M1%`K\PrE+oabbP/=88T϶|0\=ahzG:gz̽Ljs*'3 ^`Yi@]iTzZT5gqI$OggS &4½ }}SoOL}M ~!K,$<9&QQzf^Ƈ.)qcXV/aZﰥq(RAt+Q }~b1vc_MT$}QE8Y!h