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We Won! How Scala Conquered the Big Data World

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  • May be out of date. The tools, versions or practices it shows have likely moved on.
  • An opinion. It argues one side of a question engineers disagree on.

Intermediate. Assumes working knowledge.

47K views11 years ago1 recommendation

Databases and dataProgramming languagesData engineering and warehousesFunctional programming

Dean Wampler discusses why Scala and functional programming became the dominant paradigm for big data processing and engineering.

In 2012, Dean Wampler claimed that Hadoop, and Big Data in general, needed Functional Programming and an alternative to Java. Today he says that Scala has successfully taken over the Big Data world. This is a talk about why. ** Scala Training from NewCircle: newcircle.com/category/scala ** Big Data Training from NewCircle: newcircle.com/category/big-data Watch the 13 talks from NE Scala 2015: crcl.to/bdvun nescala.org/

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1 person recommends this

What people say. Recommended as a historical perspective on how Scala became the dominant language for big data ecosystems.

u/alfonsovngin r/scala • Recommends

We Won! How Scala Conquered the Big Data World
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