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UID:pretalx-bbuzz22-DHJRQC@pretalx.com
DTSTART;TZID=CET:20220614T140000
DTEND;TZID=CET:20220614T144000
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\, companies
  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 an
 d the solution should be able to be multi cloud provider\, then the Kubern
 etes 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 le
 arn some benefits to migrate from AWS EMR to Spark on Kubernetes\, from op
 erability point of view (reliability\, portability\, scalability)\, throug
 h 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 m
 ake their solution more agnostic and with minimum cloud dependencies.
DTSTAMP:20260715T201321Z
LOCATION:Kesselhaus
SUMMARY:Running Apache Spark on K8s: From AWS EMR to K8s - Ramiro Alvarez F
 ernandez\, Álvaro Panizo\, Daniel Hernández Alfageme
URL:https://pretalx.com/bbuzz22/talk/DHJRQC/
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