In this presentation, Brian Hebert will work through several workflows using and comparing both ArcGIS Pro and Google Big Query, focusing on classic geoprocessing tasks including import, export, append, spatial join, buffer, dissolve, intersect, etc. using high volume vector data. The full US Tiger Edges (All_Lines) polyline network and Meta (Facebook) sponsored high resolution population point data will be used to map out flood and evacuation scenarios. Arcpy and Google Big Query SQL source code examples will be reviewed. Particular attention will be given to getting data in/out of ESRI formats before/after processing in Google Big Query. This presentation would be of interest for anyone who is challenged with high volume vector data manipulation and will highlight leveraging the awesome power of big-database cloud engines for geospatial processing.
