Do you need to learn scala for spark?

Therefore, many, if not most, data engineers adopting Spark are also adopting Scala, while Python and R remain popular among data scientists. Fortunately, it is not necessary to master Scala to use Spark effectively. The Scala programming language can be found in use at some of the best tech companies such as LinkedIn, Twitter and FourSquare. The biggest names in the digital economy are investing in Scala programming for big data processing are - Kafka created by LinkedIn and Scalding created by Twitter.

The Scala programming language, developed by the founder of Typesafe, provides the confidence to design, develop, code and deploy things the right way making the best use of the capabilities provided by Spark and other big data technologies. Scala also offers closures, a feature that dynamic languages such as Python and Ruby have adopted from the functional programming paradigm. Scala is a compiler-based language that makes the execution of Scala very fast compared to Python (which is an interpreted language). Its API is intended for data processing and analysis in multiple programming languages such as Java, Python and Scala.

Scala software engineers are in demand, and salaries for engineers who know Scala are higher than for most other languages. With a growing Scala community on the forums, it is not difficult to find an answer to any question about Scala, which adds to your learning experience. Best for students with some programming experience (knowledge of Java is especially helpful), this course covers how to write Scala applications from scratch. As a result, there are certainly code distinctions and paradigm shifts that can make early learning of Scala programming a bit more difficult, but the result is a much cleaner, well-organised language that is ultimately easier to use and increases productivity.

Along with the superior functional programming idioms available to take advantage of multi-core CPU architectures, Scala has the right mix of the popular object-oriented paradigm. The design of Scala started in 2001 at the EPFL (École Polytechnique Fédérale de Lausanne) programming methods lab. The rule of thumb is that, using Scala or Python, developers can write the most concise code and, using Java or Scala, they can achieve the best runtime performance. Yes, it may seem more complex to the Scala novice, but once you fully understand the concepts behind it, Scala code will seem much more simplistic than Java code.

This course is an introduction to programming in the Scala language, including syntax and basic concepts. The popularity and use of Scala is growing rapidly, as evidenced by the increasing number of vacancies for Scala developers.