Machine Learning and Big Data

5Big Data

R. Chinnaiyan

Department of Information Science and Engineering, CMR Institute of Technology, Bengaluru, India

Abstract

Massive amount of data is created, processed, stored, and communicated every moment with the advancement of information and communication technologies. Analytics of these datasets needs plenty of hard work at numerous stages for information extraction and rational decision making. The objective of this entire chapter is to see the insights of big data tools and techniques. Also, this chapter narrates all the use cases of big data in the fields of Machine Learning, Cloud Computing, and Internet of Things. As a result, this entire chapter provides a clear picture about the Big Data concepts, tools, techniques, and use cases. It opens an innovative opportunities for the researchers in the bringing novel solutions for challenging issues and problems of the society.

Keywords: Data, extraction, decision making, big data, machine learning, cloud computing, IoT

5.1 Introduction

Big data is technique which surpasses the handling ability of obsolete database structures. The data is excessively big, changes too speedy, and is not suitable for the configurations of our database designs [1, 2]. To advance value from this data, individual must adopt a substitute technique to process it. Daily 2.5 quintillion bytes of data to a countless range of 90% of the data in the biosphere today have been designed in the past two years only. It is predicted that the development ...