Roman Kovalik, Big Data Engineer, Quantium, Australia | ConfEngine - Conference Management Platform

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Roman Kovalik

Big Data Engineer

Quantium

Australia

Member since 2 months

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Roman Kovalik

Specialises In

data streaming flink

I spend most of my time building machine learning pipelines in Spark and Flink.

I am quite fond of functional programming.

I'm currently working obsessively on an async machine learning api.

I have also contributed heavily to Scoozie which is a Scala DSL for Oozie.

Presented 1 Session

Batch as a Special Case of Streaming

yow-data-2017 data accepted case study 30_mins intermediate flink streaming
Roman Kovalik

Big Data Engineer

Quantium

2 months ago

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30 mins

Case Study

Intermediate

In this talk I will share my teams gruelling journey in attempting to migrate a batch like system into a streaming framework.

Walking through the various solutions that we tested using Flink, I'll be discussing each ones performance characteristics and bringing to light misconceptions in their designs.

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