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Postgres Performance for Humans
--client
pytn
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pytn2014
--room Auditorium 2850 --force
Next: 1 A Beginner's Guide to Machine Learning with Scikit-Learn
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Author(s):
Craig Kerstiens
Location
Auditorium
Date
feb Sun 23
Days Raw Files
Start
11:05
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error-in-template
Duration
00:35:00
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None
End
11:40
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None min.
http://pytennessee.org/schedule/presentation/9/
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To many developers the database is a black box. You expect to be able to put data into your database, have it to stay there, and get it out when you query it... hopefully in a performant manner. We'll walk through a bit of a clearer guide of how you can understand how database is doing from a 30,000 foot perspective as well as analyze specific problematic queries and how to tune them.
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