Relevance of Big Data Technologies to and users in Context of Social Networking Applications
Pawan Saxena1, Rajiv Pandey2

1Pawan Saxena, AIIT, Amity University, Lucknow, India.
2Rajiv Pandey, AIIT, Amity University, Lucknow, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 24, 2020. | Manuscript published on March 30, 2020. | PP: 4182-4186 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9468038620/2020©BEIESP | DOI: 10.35940/ijrte.F9468.038620

Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: 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.
Keywords: Big Data, Social Networking Applications, Hadoop, Hive, Corona, Presto, Cassandra, Technologies of Big Data, KPA of Big Data.
Scope of the Article: Big Data.