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proceedings of the 2025 conference on big data from-KJ0125486ENN.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/112589 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/112589 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/112589 archive 2 disk0/00/02/12/81 2026-02-03 08:44:45 2026-02-03 08:44:45 2026-02-03 08:44:45 book_section show Milenkovic M. 2387 Amatulli G. Sethi T. Oonk R. Fouilloux A. Odaka T. Claus M. Premier V. Fonseca A. Kempeneers P. Lovergine F.P. Parente L. Ho Y.-F. Heisig J. Masiliunas D. Wagner W. Pebesma E. Griffiths P. Verbesselt J. Hengl T. McCallum I.R.G. 1731 0000-0002-5812-9988 Fritz S. 8130 0000-0003-0420-8549 pub ASA NODES To maximize the potential of big geospatial data streams, they shall be processed on high-performance computing (HPC) infrastructure, whereas local code shall be adopted to use this infrastructure efficiently. This paper presents a non-profit initiative, GEO-OPEN-HACK, that aims at lowering the technical barrier for environmental scientists through one-week hackathons on open-source HPC processing approaches, such as openEO, Pangeo, and OEMC. We present the above solutions, hackathon setup, and analysis based on the pre-event questionnaire about the participants’ big data projects. 2025 Publications Office of the European Union 10.2760/2119408 3524 202 98 public Luxembourg 81-84 TRUE 9789268319352 Proceedings of the 2025 conference on Big Data from Space (BiDS'25) Kempeneers P. Lumnitz S. Albani S. info:eu-repo/semantics/bookPart