Spark, Distributed Systems, Machine Learning, Hadoop, Scalability.
solutions. Machine Learning in Spark: Zero to Hero Edition Any solution majorly depends on these 2 types of tasks: a) Compute-heavy: Prior to 2000s, parallel processing boxes known as ‘Supercomputers’ were popular for compute-heavy tasks. Pre-2005, parallel processing libraries like MPI and PVM