
This lecture contains the detailed installation guide and the setting up tools and environment for developing codes in Scala.
Scala blends object-oriented and functional programming, with actors, traits, and type inference. Learn its Java compatibility and its role in multithreaded, asynchronous concurrency and big-data processing using Apache Spark.
In this lecture, there is a description of basic types and basic operations and finally how to define a basic function in Scala.
Explore core functional programming in scala using map, flatten, flatMap, filter, and fold to transform lists, plus left and right folds and for expressions for querying.
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.