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TZID:Europe/Berlin
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DTSTART:20210614T000000
TZNAME:CEST
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BEGIN:STANDARD
DTSTART:20211031T030000
RDATE:20221030T030000
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DTSTART:20220327T030000
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SUMMARY:Running Apache Spark on K8s: From AWS EMR to K8s - Ramiro Alvarez 
 Fernandez\, Álvaro Panizo\, Daniel Hernández Alfageme
DTSTART;TZID=Europe/Berlin:20220614T140000
DTEND;TZID=Europe/Berlin:20220614T144000
DTSTAMP:20260818T173752Z
UID:pretalx-bbuzz22-DHJRQC@pretalx.com
DESCRIPTION:Spark is a trend technology that it is being used for a lot of
  companies for large-scale data analytics. During the first try\, companie
 s usually try to use the cloud provider solution to speed up their time to
  market\, but once Spark is broadly embrace by more teams in the company a
 nd the solution should be able to be multi cloud provider\, then the Kuber
 netes adoption appear and the journey to make it happen its worth to share
  to inspire others in the same situation. In this talk the audience will l
 earn some benefits to migrate from AWS EMR to Spark on Kubernetes\, from o
 perability point of view (reliability\, portability\, scalability)\, throu
 gh observability and finally reviewing efficiency and costs. This talk is 
 a real use case three teams at Empathy.co were working during 6 months to 
 make their solution more agnostic and with minimum cloud dependencies.
LOCATION:Kesselhaus
URL:https://pretalx.com/bbuzz22/talk/DHJRQC/
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