Apache-Spark-Application

#Abstract This assignment focuses on Apache Spark, a powerful distributed computing framework that enables large-scale data processing with high performance. The assignment covers various aspects of Spark, including Resilient Distributed Datasets (RDDs), data partitioning, DataFrame, and Spark SQL. Additionally, it discusses best practices for improving Spark performance, such as optimizing code, increasing the number of worker nodes, and allocating memory. In addition, the assignment includes practical applications of Spark using PySpark, enabling students to write code and perform distributed computing.