Guide to map & flatMap in Scala | Bootcamps

Map & flatMap in Scala are part of the Standard Library of this programming language. In fact, these two functions stand out in the world of processing as a fundamental and basic part of the development of this Popular and in-demand programming language.

Despite how extensive the world of Big Data processing, knowing how to implement map & flatMap in Scala is one of the basic knowledge. For this reason, In this post we present you a brief guide to Map & flatMap in Scala.

What is Scala?

First of all, it is essential to remember what Scala is before learning more about map ( scala map ) & faltMap in Scala (scala flatmap). Currently, this language is used by large companies, such as Twitter, LinkedIn, Coursera, Disney, The Guardian, Telefónica and Netflix. Indeed, Scala is one of the most used programming languages for the management and development of Big Data.

Scala was created in 2003 by Martin Odersky at the EPFL (Federal Polytechnic School of Lausanne). On the other hand, it is important to mention that Scala is a general purpose languagemulti-paradigm and functional that runs on the JVM (Java Virtual Machine or Java Virtual Machine).

Lastly, it not only works with Big Data, but is also implemented in DSL projects (Digital Subscriber Line or Digital Subscriber Line) because It is object oriented.

What is map & flatMap in Scala?

Map & flatMap in Scala are two command functions that are dedicated to data processing when working with collections or series of big data.

First of all, the function What map() achieves is applying a different value to each of the elements in a collection. On the contrary, faltMap() sets a sequence within the collection. Obviously, this function also starts from mapping data to a certain collection; however, with faltMap() you can eliminate groupings within an element and that Scala assimilates this automatically.

Besides, map & faltMap in Scala you can also apply it in a function future, that is, starting from a value that is not present in the present but that is known to exist later. Next, We show you how this is displayed in the console:

Future: map & flatMap

def getFirstMillionOfPrimes(): Future[List[Int]]= ???
getFirstMillionOfPrimes().map(
(list: List[Int]) => list.head
) //Future[Int]
def concatenate(l: List[Int]): Future[String] = ???
getFirstMillionOfPrimes().flatMap(
(list: List[Int]) => concatenate(list))
) //Future[String]

Guide to map & flatMap in Scala

Well, as a guide to map & faltMap in Scala, we will explain to you How to command these functions together in the console:

List(1, 2, 3).map(value => List(value, value + 1))
//List(List(1, 2), List(2, 3), List(3, 4))
List(1, 2, 3).map(value => List(value, value + 1)).flatten
//List(1, 2, 2, 3, 3, 4)
List(1, 2, 3).flatMap(value => List(value, value + 1))
//List(1, 2, 2, 3, 3, 4)

As you have noticed, map & faltMap in Scala is marked as a category in front of the value being processed and, from there, lists or collections of data are established.

Continue learning about Big Data processing

In the course of this post, we have presented you with a brief guide to how map & flatMap works in Scala as a fundamental part of the world of Big Data processing. However, like the others scala commands, it is necessary to bring this knowledge to constant practice on the console, so that knowledge is strengthened and learned in depth. In sum, There is still much to learn about managing big data.

For this reason, at we have the Full Stack Big Data, Artificial Intelligence & Machine Learning Bootcamp. During the development of this bootcamp, You will understand that every good Data Scientist must have a good basis in statistics, as well as the foundation of algebra, calculus and geometry is very important. Additionally, among many other things, you will learn how neural networks work, how to train them, how to tune them and how to apply them to different types of problems in the study of big data. All of this is carried out by experts in the world of Big Data management and its alternatives. Don’t wait any longer to sign up!