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Batch as a Special Case of Streaming

YOW! Data 2017

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.

Roman Kovalik

Big Data Engineer



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.