A Scientific Research on the Apache Spark Architecture and Its Working Mechanism

Abstract

Apache Spark is an open-source data analytics tool that is built on data set clustering. Other frameworks, like as Hadoop, are accessible, however it has been discovered that the Apache spark framework contains enhanced characteristics that make it faster when compared to other frameworks. It is used for real-time data processing and has the added feature of in-memory clustering. It provides an interface for programming the entire cluster, which can handle faults and damage and enables for the simultaneous study of many data clusters. The application's processing speed is increased as a result of these characteristics, allowing for speedier output.