Open AccessBig Block Chain Data
Author(s) -
A. Kumaravel,
A. Rama,
G. Ayyappan
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1184.0886s219
Subject(s) - big data , computer science , scalability , block (permutation group theory) , cloud computing , data science , implementation , volume (thermodynamics) , filter (signal processing) , distributed computing , data mining , database , software engineering , physics , geometry , mathematics , quantum mechanics , computer vision , operating system
The expression 'Big Block Chain Data' is coined to convey the tight correlation and interlinking between two recently advancing technologies namely Big Data and Block Chain. Issues such as data protection and enormous information scalability inevitably require tradeoff to address more issues. This element is more crucial when considering big data, which is a progressive aspect of data science and cloud security in the network. Because it deals with extremely large information volume and cannot be addressed using standard techniques of data processing. The aim of this paper is to filter the requirements presented by the multi-disciplines areas like business, computing, law, etc in the form of feasible and satiable implementations for combining these two core technologies