Scinovex
article Open Access

Data visualization, modelling and analytics

Mohammad Atif

Abstract

The intricacy of information is one of the most important properties of data scalability. In the regarding data unification and the solution of big data challenges, heterogeneous data plays an important role. As a result of the vast amount of computation and storage guidelines recommended by big-scale databases, each of them are vital, but they are also difficult to view and analyse. Digital extraction in the data era, in which data increases at an exponential rate, is a huge challenge since the human mind cannot process it in its entirety. With the help of some earlier research, this study examines and offers data visualisation and the description of Heterogeneous Distributed Storage, as well as the issues associated with these technologies. Apart from that, the findings of the examined research papers are contrasted, and the fundamental change in the realm of huge data presentation brought about by virtual reality is explored.

Big Data Technologies and ApplicationsData scienceComputer scienceBig dataUnificationScalabilityRealmData visualizationVisualizationAnalyticsProcess (computing)
Citations
0
FWCI
0.00
field-weighted impact
References
14
Percentile
24%
vs. same field & year
References
Fitting of modified exponential model between rainfall and ground water levels: A case study
International Journal of Statistics and Applied Mathematics · 2019 · 5 citations
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