The blog discusses an ArcPy geoprocessing script that required more than 26 hours to process and load 24 hours’ worth of wind velocity data throughout the U.S. Changing the script by applying optimization strategies reduced processing time to less than one hour.
“It is critical to consider performance as the size of datasets increases,” said Brittain. “Benchmark tests and database inspection throughout the process showed the results of each change and enabled us to calculate that impact on final performance.”
A video of Brittain’s presentation on this topic at the #scipy2013 conference in Austin, Texas, is available on the GeoDecisions YouTube channel. Brittain coauthored the SciPy presentation with Jason Gleason, GISP, a senior GIS analyst for GeoDecisions located in Pittsburgh, Pa. In 2005, Brittain discussed expanding the availability of georeferenced weather observation and forecast data during the Esri Users Conference in San Diego, Calif.
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