• Payal Patel
• Riddhi Patel

The phrase "big data" was developed in answer to the fast expansion of global data as a technology capable of storing and analysing vast and diverse volumes of data, offering deep insights about consumers and experiments to both businesses and research. 4V’s of big data – volume, velocity, variety, and veracity – enables traditional data warehouses to tackle data management and analytics Cloud computing appears to be an ideal platform for storing large amounts of data. On the other hand, working with big data in the cloud has its own challenges, including balancing two opposing design principles. This paper includes a brief overview of big data and relationship between the cloud and big data. It also introduces the challenges of delivering big data.

Big data, Cloud Computing, Database, Hadoop, HDFS, MapReduce.

"The Correlation of Cloud Computing and Big data: Benefits & Risks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.e942-e947, July-2021, Available :http://www.jetir.org/papers/JETIR2107625.pdf

"The Correlation of Cloud Computing and Big data: Benefits & Risks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppe942-e947, July-2021, Available at : http://www.jetir.org/papers/JETIR2107625.pdf