Open AccessA Literature Review on Big Data Analytics
Author(s) -
Madhav Singh Solanki,
Ms. Anuska Sharma
Publication year - 2021
Publication title -
international journal of innovative research in computer science and technology
Language(s) - English
Resource type - Journals
ISSN - 2347-5552
DOI - 10.55524/ijircst.2021.9.6.54
Subject(s) - data science , big data , analytics , computer science , data analysis , software deployment , software analytics , data collection , rendering (computer graphics) , business analytics , cultural analytics , social media analytics , semantic analytics , world wide web , data mining , social media , software , the internet , business , software engineering , computer graphics (images) , mathematics , software system , business model , web modeling , software construction , marketing , programming language , statistics , business analysis
Huge volumes of data have been available to policymakers in the digital world. Big data is a term to collections that are not always huge, but also varied and fast changing, rendering standard tools and procedures inadequate. Due to the quick creation of such data, techniques to organize and retrieve value and knowledge from these sets must be explored and given. Additionally, choice should be able to obtain relevant information from that wide and continuously changing collection of data, which encompasses everything from ordinary activities to customer communication and social data. Analytics, and that is the deployment of advanced analytics methodologies to enormous volumes of data, may deliver such value. It article looks at some of the numerous analytics concepts and methods that may be utilized utilizing massive data, or the prospects that data analytics might provide in many decision domains.