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SUMMARY:Live build: How to harness streaming data in real time to track\, 
 transform and build on heart rate data - Tomáš Neubauer\, Javier Blanco 
 Cordero
DTSTART;TZID=Europe/Berlin:20220613T115000
DTEND;TZID=Europe/Berlin:20220613T125000
DTSTAMP:20260813T024844Z
UID:pretalx-bbuzz22-MGL3ZF@pretalx.com
DESCRIPTION:This case study offers an entertaining way to learn about the 
 possibilities of stream processing\, which can be applied to projects in f
 ields that require easy access to current information\, such as finance\, 
 mobility and energy. We’ll use the Quix platform to set up a series of o
 pen source data sets and code samples that collect\, transform and deliver
  data under a machine learning model that learns to handle real-time heart
  rate data. We’ll show how to include complex transformations to the dat
 a\, such as how to calculate calories burned with Python.
LOCATION:Frannz Salon
URL:https://pretalx.com/bbuzz22/talk/MGL3ZF/
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