Here are the uses of GraphX in Spark:

  • It can be used for unifying ETL, exploratory analysis, and computation of iterative graphs within a single system.
  • It can be used to present data in the form of graphs and collections while transforming and joining charts with RDD.
  • It can be used for writing custom iterative graph algorithms with the help of Pregel API.
BY Best Interview Question ON 10 Jun 2020