Using Spark for BigData became the standard in the industry.  The internet is 

full with "hello world" examples, but when your Spark job meets production all hell breaks loose. We will cover real world use cases, how they were designed, why they didn't work and how we made them run fast 

Building data pipelines shouldn't be so hard, you just need to choose the right tools for the task.

We will review Akka and Spark streaming, how they work and how to use them and when.

There are many programming languages that can be used on the JVM (Java, Scala, Groovy, Kotlin, ...). In this session, we'll outline the main differences between them and discuss advantages and disadvantages for each.