Scala Certification Course

Scala is the most preferred language for Scalable distributed systems. One of the most prominent Big data tool it can be used with is Apache Spark. The functional programming aspect of scala makes it secure and simple to reason about error handling and propagation. It is also used to work with distributed platforms such as Play Framework and Akka. And in Analytics Scala is an ideal language to write mapreduce programs.

In the world of Software development Scala is considered generally as a high level language and has a reputation for being too complex for newcomers to the developer world. Currently standing at 12th place of the most demanded languages globally, Its inception was mainly aimed around overcoming the shortcomings of the Java language, with less restrictions and being less tedious. The result of this is a cleaner and well organized language with ease of use making it one of the more sought after language that organizations look for in developers.

Scala is one of the most consistent and coherent languages in the Industry. By learning Scala you gain access to a whole new set of tools to work with such as intellij, eclipse, sbt, scoverage, etc. With a growing need for Scala developers and with very few actually making the shift to learn Scala. It still remains a desirable skill set to have with Scala developers fetching an average salary of $110k+

For any Language’s developers they must decide on how to deal with changes in successive generations of code and a language which stagnates is not destined for the long term. But Scala has set itself apart by planning ahead of time on successive versions of its code with different compatibility and characteristics. A noteworthy thing about Scala developers is that they have worked on the various criticisms of the language and even if they cannot secure a Scala job, they will be well armed with a much better understanding of programming compared to what they get to learn from just Java.

Scala as a programming language can cater to a vast majority of tasks and bridges the gap between functional and oriented languages.

It specializes in Large analytics (Spark), Machine learning engines, Web applications and APIs with Play2, Data Streaming with AKKA and KAFKA, AWS Lambda functions, etc.

The most prominent reason for using Scala in the Big Data environment is cause of its concurrency support, which is the vital to parallelizing the processing of large data sets. In the Hadoop ecosystem such as Spark and Apache Kafka it’s the most preferred language to work with rivalling even established languages such as Java and Python.

Scala is the more widely used language when it comes to Apache Spark Spark which is an extension for Hadoop that performs tasks such like batch processing as well as real-time processing. And for every aspiring Data Science Engineer who is involved in gathering the data, storing it, and performing batch or real-time processing of data and optimizing it as an API Scala comes in very handy.

Scala is developed as an Object Oriented and functional programming language and when coding with Scala it’s similar to other scripting languages and Apache Spark is written in Scala. Although it is not mandatory to learn Scala to work with Spark being familiar with it does help in debugging, and contribute to Spark.

Prior to taking up Scala, having sound knowledge of programming concepts is essential. Although contrary to popular belief Java is not necessary to learn Scala but it does help to know basic JVM properties which are helpful for example type erasure, how classes work etc.

The best way to learn Scala is through practice, to do this one must start writing in Scala. There are also tons of books that one can refer to before doing this such as “Programming in Scala” by Bill Venners and Martin Odersk or “Functional Programming in Scala” by Paul Chiusano and Runar Bjarnason. You can enroll for Scala training with a live instructor who’ll be providing a hands on approach and training you can enroll yourself for it here.