• Sunaina Bagga
• Ranjeev Kumar Chopra

Today's computer industry is in the midst of a data-tsunami, and there is no way to avoid being swept along by it on the way to next-gen information technology. Quite a few IT firms have chosen to face reality with this wave of technological advances. Cloud computing and Big Data are two examples of this. In a variety of data and application areas, Big Data Analytics (BDA) has shown its value in information extraction and judgment assistance. The information storm is generated by over 500 crore smartphone subscribers and roughly the same number of social platform users including Twitter and Facebook. It presents a significant barrier with respect to hardware and software resources. On the other hand, to provide these big data solutions, a paradigm known as cloud computing is gaining popularity as the future era of technological service model. These technologies are still evolving, and the need for complex statistical evaluation of big data is growing. As public cloud develops, every senior executive of a company will consider how to create a more productive, adaptive and flexible cloud infrastructure. On the other hand, almost any cloud hosting provides resources to a large amount of data processing businesses that create, process, and manage cloud infrastructure decisions. Finally, today's requirement is to consider future-proof cloud-based or fog-based BDA. In the present review paper, we will look at how we may combine Big Data and Cloud technology into a single design framework.

Big Data, Big Data Analytics, Cloud, Cloud Computing, Hadoop, MapReduce.

"Comprehensive Overview of Cloud-Based Big Data Analytics (BDA)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.311-317, September 2018, Available :http://www.jetir.org/papers/JETIRFH06053.pdf

"Comprehensive Overview of Cloud-Based Big Data Analytics (BDA)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp311-317, September 2018, Available at : http://www.jetir.org/papers/JETIRFH06053.pdf