BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CFP.DEV//CFP.DEV shortcodes//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Voxxed Days Ticino
X-WR-RELCALID:c426493a-54d4-472b-b975-6f3aaa7163fa
X-WR-TIMEZONE:Europe/Zurich
BEGIN:VEVENT
UID:cfp-1151-7726@cfp.dev
DTSTAMP:20260920T154936Z
SEQUENCE:0
STATUS:CONFIRMED
DTSTART:20250117T150500Z
DTEND:20250117T155000Z
SUMMARY:Stream Processing Smackdown: Kafka Streams vs. Apache Flink
DESCRIPTION:Attention\, Data Streaming Engineers! In a world where speed is
  everything\, choosing the proper stream processing framework is crucial.W
 ant to supercharge your apps with real-time data processing? Should you op
 t for the streamlined Kafka Streams\, a lightweight library for building s
 treaming applications\, or the feature-rich Apache Flink\, a powerful and 
 flexible stream processing framework?Viktor Gamov\, a principal developer 
 advocate at Confluent with extensive experience in stream processing\, wil
 l walk you through the nuts and bolts of these two leading technologies. T
 hrough live coding and practical examples\, we&#39\;ll cover:• Mastering
  State Management: Discover how each framework handles stateful computatio
 ns and pick up optimization tips.• Fault Tolerance in Practice: See how 
 Kafka Streams and Flink keep your applications running smoothly\, even whe
 n things go wrong.• Scalability Showdown: Find out which tool scales bet
 ter under heavy loads and complex tasks.• Integration Insights: Learn ho
 w to seamlessly fit these frameworks into your existing setup to boost pro
 ductivity.We&#39\;ll explore scenarios showcasing each option’s strength
 s and weaknesses\, giving you the tools to choose the best fit for your ne
 xt project. Whether you&#39\;re into microservices\, event-driven systems\
 , or big data streaming\, this talk is packed with practical knowledge tha
 t you can immediately apply to your projects\, improving performance and e
 fficiency.\nSpeakers: Viktor Gamov\nTrack: Data & AI
URL:https://vdt25.voxxeddays.ch/talk/stream-processing-smackdown-kafka-stre
 ams-vs-apache-flink/
LOCATION:Room B1\nPalazzo dei Congressi\nLugano\, Switzerland
CATEGORIES:Data & AI
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