Machine Learning Solutions for Investigating Streams Data using Distributed Frameworks: Literature Review

Distributed Frameworks such as Apache Spark have become an integral part of data analysis in the modern world. Machine learning algorithms implemented in distributed frameworks have become popular due to their impressive processing power. Research now is shifting to the analysis of data in a streaming environment that has data coming in real-time. This research focuses on identifying and conducting a literature review that investigates machine learning methods in a distributed framework using streams data. The review identifies some interesting patterns in the focus of machine learning algorithms and the use of various distributed frameworks. A lot of research opportunities are discussed while discussing research papers.