Using Apache Spark for big data processing offers also a possibility to use Scala. Despite Python being more popular than Scala, Scala is still THE language in Apache Spark world. It is time to start writing code in it.
The interactive tool sbt helps you build Scala and Java projects. It is similar to Java’s Maven or Ant. It offers native support for compiling Scala and, among other things, offers support for mixed Scala/Java projects.

Run the following to install sbt.

echo "deb https://dl.bintray.com/sbt/debian /" | sudo tee -a /etc/apt/sources.list.d/sbt.list
sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv 642AC823
sudo apt-get update -y
sudo apt-get install sbt -y

Test sbt by running

sbt version

Should return something like this

[info] Set current project to ubuntu (in build file:/home/ubuntu/)
[info] 0.1-SNAPSHOT

The tool is now installed and ready to use.

You can run sbt by simply typing

sbt

Creating an example Scala project that works with Apache Spark is described in this post.