Open AccessRelevance of Big Data Technologies to and users in Context of Social Networking Applications
Author(s) -
Pawan Saxena,
Rajiv Pandey
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f9468.038620
Subject(s) - big data , data science , computer science , relevance (law) , social media , context (archaeology) , variety (cybernetics) , analytics , social media analytics , enhanced data rates for gsm evolution , world wide web , data mining , telecommunications , artificial intelligence , paleontology , biology , political science , law
Unremitting generation of data by various data analytics platforms, ubiquitous ,edge nodes and social networks in the concurrent scenario has shaped the exceptional amount of data in volume, velocity, veracity, variety and value. Exceptional data have made traditional information technology and method unfeasible to cope up amid. This exceptional data has been termed as Big Data. Social media is one of the most important sources of Big Data. social media is a constituent of Big Data. Besides Big Data plays a vital role in moving forward the Social Networking Applications to innovate and enhance the experience of users. Various technologies are factored for Big Data storage, processing and analysis in the context of social networking. This paper investigates these technologies which are being used by social networking applications with their relevance to the end users. The research article provides a relevance computation of various social media platforms. It further summarizes a visualization of the use of the platforms in their contribution to the big data.