Scala is also ideal for low-level Spark programming and for easy navigation directly to the underlying source code. Its API is intended for data processing and analysis in multiple programming languages such as Java, Python and Scala. Scala is definitely the best choice for the Spark Streaming feature because Python Spark support is not advanced and mature like Scala. If you have enough experience with any statically typed programming language like Java, you can stop worrying about not using Scala at all.
Refactoring the code of a statically typed language like Scala is much easier and hassle-free than refactoring the code of a dynamic language like Python. There is a growing demand for Scala developers because big data companies value developers who can master a productive and robust programming language for data analysis and processing in Apache Spark. Scala allows general programming patterns to be expressed in a very concise and efficient format while minimising the number of lines of code. Many organisations favour the speed and simplicity of Spark, which supports many application programming interfaces (APIs) available from languages such as Java, R, Python and Scala.
Using Scala for Spark provides access to the latest features of the Spark framework, as they are first available in Scala and then ported to Python. Scala and Python languages are equally expressive in the context of Spark, so using Scala or Python can achieve the desired functionality. Before choosing a language for programming with Apache Spark, it is necessary for developers to learn Scala and Python to become familiar with their features. A quick look at the salaries offered by Python and Scala skills shows that Scala as a skill offers more salary in the job market than Python.
You can use the basic programming features of Scala with the IntelliJ IDE and get useful features such as type hints and compile-time checks for free. Scala was developed to allow common programming patterns to be expressed in a concise, type-safe format. You will master the essential knowledge of the open source Apache Spark framework and the Scala programming language. I'm working on a project called bebe that I hope will provide the community with a high-performance, type-safe Scala programming interface.
