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Building a Real-Time Analytics Service with InfluxDB
--client
big_apple_py
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pygotham_2015
--room room704 10059 --force
Next: 11 Building a data processing pipeline in Python
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Marks
Author(s):
Jeremiah Malina
Location
Room 704
Date
aug Sat 15
Days Raw Files
Start
11:15
First Raw Start
11:14
Duration
00:55:00
Offset
0:00:17
End
12:10
Last Raw End
12:11
Chapters
00:00
Total cuts_time
56 min.
https://pygotham.org/2015/talks/205/building-a-real-time-analytics-service-with-influxdb
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"Real-time Analytics" is a near ubiquitous term in the tech industry today and users expect dashboards to update in real-time, but providing real-time analytics can be hard and usually involves many moving parts. In this talk we'll explore how InfluxDB can simplify the real-time component of an analytics stack.
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production notes
2015-08-14/21_44_43.dv
Apply:
11:14:43 - 12:11:30 ( 00:56:47 )
S:
11:14:43 -
E:
12:11:30
D:
00:56:47
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11:14:43
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00:56:47
12:11:30
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