HUGE Spatial Join! Processing 780M Buildings & 1TB Data with Wherobots

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In this video, I’ll show you how to perform a massive spatial intersection join, processing nearly a terabyte of raster data from AWS and 780 million building footprints from the Overture Maps Foundation. Using Wherobots, we’ll tackle this data-intensive task, exploring the power of scalable geospatial tools to handle immense datasets with ease.

Height Above Nearest Drainage on AWS - https://registry.opendata.aws/glo-30-hand/

🎓 Learn more and earn certificates in GIS, spatial data science, and data science (affiliate links):

Geographic Information Systems (GIS) Specialization from UC Davis: https://imp.i384100.net/n1Kyxo
Spatial Data Science and Applications from Yonsei University: https://imp.i384100.net/9W6E6W
Remote Sensing Image Acquisition, Analysis and Applications: https://imp.i384100.net/Xxe4Ay

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Видео HUGE Spatial Join! Processing 780M Buildings & 1TB Data with Wherobots канала Matt Forrest