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

Just enough #scala for @ApacheSpark: #stratahadoop NYC tutorialđź’» w/ @deanwampler @lightbend

  • If you want to learn Scala for Spark, this is the tutorial for you.
  • Familiarity with Spark is recommended, but not essential.
  • Apache Hadoop, Hadoop, Apache Spark, Spark, and Apache are trademarks of the Apache Software Foundation and are used with permission .
  • 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.
  • I think that Spark shows Scala at its best and largely hides the more difficult aspects of the language.

Read the full article, click here.


@bigdata: “Just enough #scala for @ApacheSpark: #stratahadoop NYC tutorialđź’» w/ @deanwampler @lightbend”


Apache Spark is written in Scala. Hence, many if not most data engineers adopting Spark are also adopting Scala, while Python and R remain popular with data scientists. This tutorial focuses on 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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