Just enough scala for spark: Big data conference: Strata + Hadoop World, September 26

Just Enough #Scala for @ApacheSpark: #stratahadoop NYC tutorialšŸ’» w/ @deanwampler @lightbend

  • Learn the core features of Scala necessary to write Spark code
  • Dean Wampler offers an overview of the core features of Scala you need to use Spark effectively, using hands-on exercises with the Spark APIs.
  • Discover why Scala is an ideal programming language for data engineers using Spark
  • Most data scientists continue to use Python and R. If you want to learn Scala for Spark, this is the tutorial for you.
  • Although Spark provides a Java API , many data engineers are adopting Scala since it’s the “native” language for Spark-and because Spark code written in Scala is much more concise than comparable Java code.

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@bigdata: “Just Enough #Scala for @ApacheSpark: #stratahadoop NYC tutorialšŸ’» w/ @deanwampler @lightbend”


Apache Spark is written in Scala. Hence, many if not most data engineers adopting Spark are also adopting Scala, while most data scientists continue to use Python and R. Dean Wampler offers an overview of the core features of Scala you need to use Spark effectively, using hands-on exercises with the Spark APIs.


Just enough scala for spark: Big data conference: Strata + Hadoop World, September 26

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