Machine Learning with PySpark - Review

Raswitha Bandi (MLR Institute of Technology)
J Amudhavel (MLR Institute of Technology)
R Karthik (KL University)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 12, No 1: October 2018

A reasonable distributed memory-based Computing system for machine learning is Apache Spark. Spark is being superior in computing when compared with Hadoop. Apache Spark is a quick, simple to use for handling big data that has worked in modules of Machine Learning, streaming SQL, and graph processing. We can apply machine learning algorithms to big data easily, which makes it simple by using Spark and its machine learning library MLlib, even this can be made simpler by using the Python API PySpark. This paper presents the study on how to develop machine learning algorithms in PySpark.