Analysis of Big Data

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Author(s): Sabyasachi Pramanik (Haldia Institute of Technology, India)and Samir Kumar Bandyopadhyay (The Bhowanipur Education Society College, India)
Copyright: 2023
Pages: 19
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch006

Keywords: Data Analysis and Statistics / Information Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

In the modern business condition, data being produced in most service associations is estimated in gigabytes or terabytes. On occasion, searching for information in a few terabytes of information can appear to be much the same as scanning for a needle in a sheaf. With the wild use of IT in business forms everywhere throughout the world, organizations as of now have massive measures of data but can't relate the vast majority of it to the creation or survey of corporate methodology. This shows the requirement for intelligent utilization of technology to be ventured in front of others in this gigantically aggressive corporate reality where profit edges are slender and clients are keen for decision.

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