The spread of big data science throughout the globe

Arun Velu

Abstract


The development of big data science has emerged as one of the prime domains in information technologies. Big data sciences aids in extracting, processing, and analyzing the data which has created a significant impact on the world economy by boosting the market in every sector. It has given liberty for real-time decision-making based on data analysis. Big data science has accelerated as a technological tool and is being traded in myriad sectors. Keeping this as consideration, the present study is designed to highlight the development of big data science to the world and envision the applicative properties and components associated with it.


Keywords


Big Data, Technological world, Data mining, Applications

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References


P.C. Zikopoulos, C. Eaton, P.Zikopoulos, Understanding big data: Analytics for enterprise class hadoop and streaming data, McGraw-Hill, 2015

V. Raghupathi, Big data analytics in healthcare: promise and potential, Health information science and systems, 2(1) (2015)3.

A. Grama, Trends in big data analytics, Journal of parallel and distributed computing, 74(7)(2015) 2561-2573.

P. Russom, Big data analytics: best practices report, TDWI(fourth quarter), 19(4) (2017)1-34.

F.J. Ohlhorst, Big data analytics: turning big data into big money, John Wiley &Sons, Vol. 65, 2016

T.A. Byrd, Big data analytics: Understanding its capabilities and potential benefits for healthcare

organizations, Technological Forecasting and Social Change, 126 (2018)3-13.

R.R. Nadikattu, The Supremacy of Artificial intelligence and Neural Networks, International Journal of Creative Research Thoughts, 5 (2017)950-954.

R.R. Nadikattu, The emerging role of artificial intelligence in modern society, International Journal of Creative Research Thoughts, 4(4)(2016)906-911.

S. Drucker, Interactions with big data analytics, Interactions, 19(3) (2016)50-59.

N. Kruschwitz, Big data, analytics and the path from insights to value, MIT Sloan management review, 52(2) (2016)21-32.

W. Pawan, S.N. Ahmad, Development of Economical ASIC For PCS For Water Quality Monitoring, Journal of Circuit System and Computers, 23(6) (2014)1-13.

B. Shin, Data quality management, data usage experience and acquisition intention of big data analytics, International journal of information management, 34(3) (2017)387-394.

W. Pawan, S.N. Ahmad, Simulation of Linear Dynamic Macro Model of Photo Catalytic Sensor in SPICE Compel, The international journal of computation and mathematics in electrical and electronic

engineering, 33 (1-2) (2014) 611-629.

E. Muharemagic, Deep learning applications and challenges in big data analytics, Journal of Big Data, 2(1) (2015)1.

S.P. Rajan, Big data analytics for security, IEEE Security & Privacy, 11(6) (2017)74-76

Ajay Rupani et al (2019) Eleyon Publishers Page 7-17


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