Course Description

Scala is a programming language that combines object-oriented and functional programming paradigms and is particularly well-suited for building scalable and distributed systems. Apache Spark is an open-source distributed computing framework that provides an interface for programming entire clusters with implicit data parallelism and fault tolerance. This course introduces students to Scala and Spark and how they can be used together for big data processing and analytics.

Scala and Spark course focuses on teaching participants Scala programming language and Apache Spark framework for big data processing. Participants will learn Scala, a powerful functional programming language, and its application in developing Spark applications. The course covers Spark’s core concepts such as RDDs (Resilient Distributed Datasets), DataFrame API, Spark SQL, and machine learning with MLlib. Through hands-on coding exercises and projects, participants will gain practical experience in building scalable and distributed data processing applications using Scala and Spark, making them proficient in big data analytics and processing.