With BigQuery's new remote user defined functions (in preview) it is now possible to bring the power of Google Maps to your analytic data warehouse. Using Google Maps API endpoints in Cloud Functions called by BigQuery you can:
By enriching location datasets in BigQuery you can accomplish advanced spatial analysis including:
| import logging | |
| import sys | |
| from logging.handlers import TimedRotatingFileHandler | |
| FORMATTER = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s") | |
| LOG_FILE = "my_app.log" | |
| def get_console_handler(): | |
| console_handler = logging.StreamHandler(sys.stdout) | |
| console_handler.setFormatter(FORMATTER) |
| #Copyright (c) 2010-2013 Samuel Sutch [[email protected]] | |
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| #Permission is hereby granted, free of charge, to any person obtaining a copy | |
| #of this software and associated documentation files (the "Software"), to deal | |
| #in the Software without restriction, including without limitation the rights | |
| #to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
| #copies of the Software, and to permit persons to whom the Software is | |
| #furnished to do so, subject to the following conditions: | |
| # | |
| #The above copyright notice and this permission notice shall be included in |
