Data Analytics through BlockChain Technologies

AUTHORS

Ch. Sekhar,Dept of Comp. Science and Engineering, Vignan’s Institute of IT (A), Visakhapatnam, AP, India
N Tirupathi Rao,Dept of Comp. Science and Engineering, Vignan’s Institute of IT (A), Visakhapatnam, AP, India

ABSTRACT

Huge Information is a term for a considerable amount, not predictable, emergent data collections among abundant, self-reliant sources. Created in different fields extending from monetary and business exercises to open organization, plays a significant role to take any decision. Blockchain is a dispersed database framework that goes about as an "open record" to store and oversee exchanges. Each trace in the DB(Database) is known as a square and contain points of interest, for example, the exchange timestamp and besides a connection to the past square. Makes it unthinkable for everybody to change data about the records thoughtfully. Furthermore, since the way that a similar exchange can record over the various, dispersed database structure, the innovation is secure by the plan. This paper provides the fundamentals of big data and how we can use the blockchain technology.

 

KEYWORDS

Data, Analytics, Block Chain, Decentralization

REFERENCES

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CITATION

  • APA:
    Sekhar,C.& Rao,N.T.(2020). Data Analytics through BlockChain Technologies . International Journal of Advanced Research in Big Data Management System, 4(1), 27-34. 10.21742/IJARBMS.2020.4.1.03
  • Harvard:
    Sekhar,C., Rao,N.T.(2020). "Data Analytics through BlockChain Technologies ". International Journal of Advanced Research in Big Data Management System, 4(1), pp.27-34. doi:10.21742/IJARBMS.2020.4.1.03
  • IEEE:
    [1] C.Sekhar, N.T.Rao, "Data Analytics through BlockChain Technologies ". International Journal of Advanced Research in Big Data Management System, vol.4, no.1, pp.27-34, May. 2020
  • MLA:
    Sekhar Ch. and Rao N Tirupathi . "Data Analytics through BlockChain Technologies ". International Journal of Advanced Research in Big Data Management System, vol.4, no.1, May. 2020, pp.27-34, doi:10.21742/IJARBMS.2020.4.1.03

ISSUE INFO

  • Volume 4, No. 1, 2020
  • ISSN(p):2208-1674
  • ISSN(e):2208-1682
  • Published:May. 2020

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