Spark, Distributed Systems, Machine Learning, Hadoop, Scalability.
to RAM, instead of disk. Spark was good for both, i) Data-heavy tasks: as it was using HDFS & ii) Compute-heavy tasks: as it uses RAM instead of disk, to store intermediate outputs. Eg: Iterative solutions As Spark could utilize RAM, it became an efficient solution for iterative tasks in Machine