International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 175 - Number 37 |
Year of Publication: 2020 |
Authors: Muneeba Afzal Mukhdoomi, Ashish Oberoi, Ankur Gupta |
10.5120/ijca2020920941 |
Muneeba Afzal Mukhdoomi, Ashish Oberoi, Ankur Gupta . Cloud and Big Data Electronic Age: A Review. International Journal of Computer Applications. 175, 37 ( Dec 2020), 32-43. DOI=10.5120/ijca2020920941
Big data stands for sheer amount of data that is growing unceasingly at a rapid pace. Big Data demands high-powered, robust, reliable, fault-tolerant tools and techniques in order to make it convenient to process, analyse and uproot new insights from Big Data. Big data refers to huge, heterogeneous amount of details, facts and data generating at constantly rising rate. The data sets in Big Data are too bulky or extensive, as a result classical data handling application software are not competent enough to administer them. On the other hand, Cloud computing is a resourceful technology providing high computing power, scalability, computing resources as and when required for processing, storage, analytics and visualization of Big Data. Therefore, cloud computing can be regarded as a feasible and applicable technology which promises to handle Big Data challenges and also provides here and now infrastructures with all the mandatory resources. This paper will mainly review processing of big data using Hadoop and spark in cloud, advantages of driving Big Data using cloud computing and applications of Big data in Cloud.