Big data analytics through crowdsourcing

Authors

  • Singh MK MCA (MDU) and B.Sc. (APS) Computer Science (University of Delhi)
  • Baluja GS Dept. of Computer Application, DTTE, Govt. of NCT Delhi
  • Sahu DP Ph.D, M.Tech. and MCA (Jawaharlal Nehru University)

Keywords:

Big Data, Big Data Analytics (BDA), Crowdsourcing, Crowdsourcing Big Data (CBD), Data Science

Abstract

Big Data Analytics (BDA) is one of the most envisage fields in the present era after cloud computing. Big business houses and internet giants are busy to explore the benefits of BDA and have implemented the concept terrifically in the last decade to bring a great revolution in the field of data search, online retailing, digital marketing, web mining, social networking, community site growth and much more. With the advent of Crowdsourcing concept, the researchers of BDA field have started searching further new aspects in the form of Crowdsourcing to know how it can be helpful to boost up the concept of BDA in efficient, economical and scalable manner. To answer this, we have explored the concept of Big Data and their analytics, their myriad applications, the concept of Crowdsourcing, the manner in which Crowdsourcing can benefit BDA and the applications related to Crowdsourcing Big Data (CBD) through this article.

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Published

2024-02-26

How to Cite

Singh, M. K., Baluja, G., & Sahu, D. P. (2024). Big data analytics through crowdsourcing. COMPUSOFT: An International Journal of Advanced Computer Technology, 6(05), 2340–2346. Retrieved from https://ijact.in/index.php/j/article/view/404

Issue

Section

Original Research Article

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