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SUMMARY:BCNFS Talk: Scalable Geospatial Pipelines with GigaSpatial
DTSTAMP:20260514T221152Z
DTSTART:20260521T170000Z
DESCRIPTION:Geospatial data is critical for global development\, but practi
	tioners constantly\nbattle fragmented data\, scaling issues\, and complex 
	integrations across vector\nand raster formats. Enter GigaSpatial\, an ope
	n-source Python library built by\nUNICEF’s Giga initiative to help connect
	 every school in the world to the\ninternet.\n\nIn this talk\, we will exp
	lore the architecture behind GigaSpatial and how it\nreplaces the need to 
	stitch together a dozen different tools to answer a single\nspatial questi
	on. We will dive into how the library orchestrates data\ncollection\, tran
	sformation\, and standardisation pipelines at scale. By\nleveraging strict
	 configuration validation\, object-oriented data connectors\, and\nseamles
	s multi-store management\, GigaSpatial provides a unified API to wrangle\n
	spatial data. Finally\, we’ll look at real-world applications across 30\nc
	ountries\, from validating point-of-interest data against multiple global\
	nbuilding footprints to running zonal aggregations using different grid sy
	stems.\n\nWhether you are a data engineer\, a GIS professional\, or a Pyth
	on developer\ninterested in open-source architecture\, you might find this
	 talk an interesting\nlook into how we build robust spatial pipelines\; an
	d we would love to explore\nways you can contribute to this global mission
	.\n\nSpeaker: Utku Can Ozturk\, Data Scientist and main developer of the G
	igaspatial\nproject\n\nDate: 21 May\nStart time: 19:00 h\nLocation: Akasha
	 Hub [https://maps.app.goo.gl/CZE8q8uaag8UgnRCA] - Carrer de la\nVerneda\,
	 19\, Nau 1 · Barcelona\n\nAgenda:\n\n * 19:00 h: Welcome\n\n * 19:05 h: T
	alk\n\n * 19:50 h: Networking
URL:https://calendari.cc/event/bcnfs-talk-scalable-geospatial-pipelines-wit
	h-gigaspatial
GEO:41.4109;2.19122
LOCATION:AKASHA Hub Barcelona - AKASHA Hub Barcelona\, 19\, Nave 1\, Carrer
	 de la Verneda\, el Clot\, Sant Martí\, Barcelona\, Barcelonès\, Barcelona
	\, Catalunya\, 08018\, España
STATUS:CONFIRMED
CATEGORIES:
X-ALT-DESC;FMTTYPE=text/html:<p>Geospatial data is critical for global deve
	lopment, but practitioners constantly battle fragmented data, scaling issu
	es, and complex integrations across vector and raster formats. Enter GigaS
	patial, an open-source Python library built by UNICEF’s Giga initiative to
	 help connect every school in the world to the internet.</p><p>In this tal
	k, we will explore the architecture behind GigaSpatial and how it replaces
	 the need to stitch together a dozen different tools to answer a single sp
	atial question. We will dive into how the library orchestrates data collec
	tion, transformation, and standardisation pipelines at scale. By leveragin
	g strict configuration validation, object-oriented data connectors, and se
	amless multi-store management, GigaSpatial provides a unified API to wrang
	le spatial data. Finally, we’ll look at real-world applications across 30 
	countries, from validating point-of-interest data against multiple global 
	building footprints to running zonal aggregations using different grid sys
	tems.</p><p>Whether you are a data engineer, a GIS professional, or a Pyth
	on developer interested in open-source architecture, you might find this t
	alk an interesting look into how we build robust spatial pipelines; and we
	 would love to explore ways you can contribute to this global mission.</p>
	<p>Speaker: Utku Can Ozturk, Data Scientist and main developer of the Giga
	spatial project</p><p><strong>Date:</strong> 21 May<br><strong>Start time:
	</strong> 19:00 h<br><strong>Location:</strong> <a target="_blank" href="h
	ttps://maps.app.goo.gl/CZE8q8uaag8UgnRCA">Akasha Hub</a> - Carrer de la Ve
	rneda, 19, Nau 1 · Barcelona</p><p><strong>Agenda:</strong></p><ul><li><p>
	19:00 h: Welcome</p></li><li><p>19:05 h: Talk</p></li><li><p>19:50 h: Netw
	orking</p></li></ul>
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DESCRIPTION:BCNFS Talk: Scalable Geospatial Pipelines with GigaSpatial
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