Spark: from interactivity to production and back [ua]

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Talk presentation

Going from experiment to deployed prototype as fast as possible in a dynamic startup environment is invaluable. Being able to respond quickly to changes not less important.

From interactive ad-hoc analysis to production applications with Spark and back - this is a story of one spirited engineer trying to make his life a little easier and a little more efficient while wrangling the data, writing Scala code, deploying Spark applications. The problems faced, the lessons learned, the options found and some smart solutions and ideas - this is what we will go through.

Yurii Ostapchuk
Romexsoft
  • Lead Data Engineer at Romexsoft
  • Scala and Spark developer
  • Development flow optimizer. Linux configurer. Emacs & vim typer
  • GitHub, Twitter
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