What is the primary use of GraphX in Spark?
GraphX is primarily used in Spark for processing and analyzing graph data. It provides APIs for creating, manipulating, and analyzing large-scale graph structures, helping users handle nodes, edges, and their relationships in graph data, performing computations on graph algorithms, and visualizing graph data. The main applications of GraphX include social network analysis, recommendation systems, and network security analysis. With GraphX, users can utilize Spark’s distributed computing capabilities to process large-scale graph datasets, achieving efficient graph data analysis and mining.