Python and Autonomous Database: Better together for Location Analytics

In August we discussed the use of Python, and geospatial analysis libraries, in conjunction with the Autonomous Database's spatial features. David walked through a Jupiter notebook and outlined two scenarios. The first used spatial analysis, on a national scale dataset of vehicle accidents, to identify hot spots and cold spots where speeding was a factor or not a factor in the accident. The second scenario involved a spatio-temporal analysis of unemployment statistics. Here's a quick guide to the highlights: 1:00 David provides an overview of Spatial features in the Oracle Database 6:42 He discusses the vast ecosystem of geospatial analysis libraries for Python 8:44 He provides the URL for a PDF version of the Jupiter notebook with the demos 11:35 David introduces the first demo scenario 29:00 He discusses the second demo scenario

Session Has Completed - 25 August 2020

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25 August 2020

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Session Has Completed - 25 August 2020

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Python and Autonomous Database: Better together for Location Analytics

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