streaming


Untangling Healthcare with Spark and Dataflow

Location: Salon A
April 12th, 2016
2:45 PM - 3:45 PM

Spark is becoming a data processing giant, but it leaves much as an exercise for the user. Developers need to write specialized logic to move between batch and streaming modes, manually deal with late or out-of-order data, and explicitly wire complex flows together. This talk looks at how we tackled these problems over a multi-petabyte dataset at Cerner. We start with how hand-written solutions to these problems evolved to prescriptive practices, opening up development of such systems to a wider audience. From there we look at how the emergence of Google's Dataflow on Spark is helping us take the next
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Ryan Brush

Engineer, Cerner