The "Introduction to Spark Programming" course is designed to equip learners with the essential skills needed to process Big Data using Apache Spark, a powerful open-source processing engine. Through a combination of theoretical knowledge and practical exercises, the course delves into Scala programming—Spark's primary language—covering basics such as variables, data types, control flow, and more complex structures like collections, functions, and classes.
As learners progress to Module 2, they explore the Spark ecosystem, differentiating Spark from Hadoop and learning how to install and interact with Spark. The course then dives into core concepts such as RDDs, Spark architecture, and performance-oriented programming, including shuffling transformations and tuning for efficiency.
Advanced topics, such as Spark SQL, DataFrames, DataSets, and performance tuning, are covered to enable optimization of Big Data processing tasks. The course concludes with practical skills in creating standalone applications, understanding Spark Streaming, and integrating with systems like Kafka, preparing students to build scalable and efficient Big Data solutions.
