
This lecture contains the detailed installation guide and the setting up tools and environment for developing codes in Scala.
In this lecture, there is a description of basic types and basic operations and finally how to define a basic function in Scala.
In this section, there is a comparison between different frameworks for Big Data processing followed by a abrief introduction to Spark, the most promising and open source cluster computing framework with in-memory primitives which helps improve the performance. Spark is developed using the Scala programming language.
Scala is a programming language designed to include advantages from both object-oriented and functional programming paradigms. It is a concise, agile, and scalable language that can handle lots of data in real time. Scala is a popular choice for many open source and Big Data projects. The prominent Big Data framework, Apache Spark, is also developed using Scala.
Adastra Academy’s ‘Scala in Practice’ includes a general overview, the benefits of programming in Scala, and several hands-on exercises. Unlike other courses, students taking ‘Scala in Practice’ quickly become proficient in coding and develop a Mobile App as part of the course work. We also explore Scala’s main features that make it a unique programming language and various enterprise applications to understand why it is more often deployed than others.