Throughout this chapter, we have seen many examples of using the Scala collections API. It's very powerful, flexible, and has lots of operations coupled with them. This wide range of operations will make your life easy dealing with any kind of data. We introduced the Scala collections API, and its different types and hierarchies. We also demonstrated the capabilities of the Scala collections API and how it can be used in order to accommodate different types of data and solve a wide range of different problems. In summary, you learned about types and hierarchies, performance characteristic, Java interoperability, and the usage of implicits. So, this is more or less the end of the learning Scala. However, you will keep on learning more advanced topics and operations using Scala through the following chapters.

In the next chapter, we will explore data analysis and big data to see the challenges that big data provides and how they are dealt via distributed computing and the approach suggested by functional programming. You will also learn about MapReduce, Apache Hadoop, and finally Apache Spark and see how they embrace this approach and these techniques.