Petr Zapletal

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Petr is a Consultant who specialises in the design and implementation of highly scalable, reactive and resilient distributed systems. He is a functional programming and open source evangelist and has expertise in the area of big data and machine classification techniques. Petr participates in the whole software delivery lifecycle; from requirement analysis & design, through to maintaining systems in production. During his career, Petr has worked for various companies from start-ups to large international corporations. Petr's current interests are Reactive Systems, Distributed Streaming, and Deep Learning. Petr is also an author of #ThisWeekInScala and an occasional conference speaker.

scala distributed streaming spark akka programming compiling jvm java aws serverless reactive scaladays storm samza flink database data nosql sql change data capture lambda scale kafka trident apex apache framework processing graphx sparksql mllib machine learning

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Petr Zapletal

Presentations

MLlib and Machine Learning on Spark

Spark Concepts - Spark SQL, Graphx, Streaming

Distributed real time stream processing- why and how

Distributed Real-Time Stream Processing: Why and How 2.0

Top Mistakes When Writing Reactive Applications - Scala by the Bay 2016

Distributed Stream Processing - Spark Summit East 2017

Reactive mistakes reactive nyc

Reactive mistakes - ScalaDays Chicago 2017

Real World Serverless

Adopting GraalVM - Scale by the Bay 2018

Adopting GraalVM - Scala eXchange London 2018

Adopting GraalVM - NE Scala 2019

Change Data Capture - Scale by the Bay 2019