Analyze the Working Mechanism of Apache Spark in Data Science, As Well As Its Limits and Benefits

Abstract

Apache Spark is an open-source platform for data analytics that is based on data set clustering. There are other frameworks available, such as Hadoop, however it has been found that the Apache spark framework includes advanced capabilities that make it quicker when compared to other frameworks. It is utilized for real-time data analysis and has the extra functionality of in-memory clustering for data analysis. It offers the interface for programming the entire cluster, which is capable of handling errors and damage and allows simultaneous examination of several data clusters. Because of these features, the application's processing speed is boosted, allowing for faster output.