Abstract
Undoubtedly, the Big Data is the most promising technology to serve an organization in a better way. It provides an organized way to think about data, whatever the data size is, and whatever the data type is. Moreover, the Big Data provides a platform to make decisions, and to analyze future possibilities using the past and present data. The Big Data technology eases the large dataset to store, process and manage. The Big Data is the most fashionable trendsetter in the world of computing i.e., the most popular buzzword around the globe upon which the future of the most of IT industries depends on it. This paper presents a study report on numerous research issues and challenges of Big Data which is employed in very large dataset. This paper uncovers the nuts and bolts of Big Data. This study report provides rich insight on the Big Data.
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References
Abe, A.: Curating and mining (big) data. In: 2013 IEEE 13th International Conference on Data Mining Workshops, pp. 664–671 (2013)
Alguliyev, R., Imamverdiyev, Y.: Big data: big promises for information security. In: IEEE 8th International Conference on Application of Information and Communication Technologies (AICT 2014), pp. 1–4 (2014)
Bertino, E.: Big data - security and privacy. In: 2015 IEEE International Congress on Big Data, pp. 757–761 (2015)
Bonenfant, M., Desai, B.C., Desai, D., Fung, B.C.M., Ozsu, M.T., Ullman, J.D.: Panel: the state of data: invited paper from panelists. In: Proceedings of the 20th International Database Engineering & Applications Symposium, pp. 2–11 (2016)
Bourne, P.E., Lorsch, J.R., Green, E.D.: Perspective: sustaining the big-data ecosystem. Nature 527(7576), S16–S17 (2015)
Cardenas, A.A., Manadhata, P.K., Rajan, S.P.: Big data analytics for security. IEEE Secur. Priv. 11(6), 74–76 (2013)
Chen, C.P., Zhang, C.-Y.: Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf. Sci. 275(2014), 314–347 (2014)
Cuzzocrea, A., Sacca, D., Ullman, J.D.: Big data: a research agenda. In: Proceedings of the 17th International Database Engineering & Applications Symposium, pp. 198–203 (2013)
Desai, B.C.: Technological singularities. In: Proceedings of the 19th International Database Engineering & Applications Symposium, pp. 10–22 (2015)
Editorial: The power of big data must be harnessed for medical progress. Nature, 539(7630), 467468 (2016)
Einav, L., Levin, J.: Economics in the age of big data. Science 346(6210), 1243089 (2014)
Fang, W., Wen, X.Z., Zheng, Y., Zhou, M.: A survey of big data security and privacy preserving. IETE Technical Review, pp. 1–17 (2016)
Big Data Working Group: Expanded top ten big data security and privacy challenges. Cloud Security Alliance, pp. 1–39, April 2013
Howe, D., Costanzo, M., Fey, P., Gojobori, T., Hannick, L., Hide, W., Hill, D.P., Kania, R., Schaeffer, M., St Pierre, S., et al.: Big data: the future of biocuration. Nature 455(7209), 47–50 (2008)
Jagadish, H.V., Gehrke, J., Labrinidis, A., Papakonstantinou, Y., Patel, J.M., Ramakrishnan, R., Shahabi, C.: Big data and its technical challenges. Commun. ACM 57(7), 86–94 (2014)
Labrinidis, A., Jagadish, H.V.: Challenges and opportunities with big data. Proc. VLDB Endowment 5(12), 2032–2033 (2012)
Landhuis, E.: Neuroscience: big brain, big data. Nature 541(7638), 559–561 (2017)
Lynch, C.: Big data: How do your data grow? Nature 455(7209), 28–29 (2008)
Marx, V.: Biology: the big challenges of big data. Nature 498(7453), 255260 (2013)
Mattmann, C.A.: Computing: a vision for data science. Nature 493(7433), 473475 (2013)
McAfee, A., Brynjolfsson, E., Davenport, T.H., Patil, D., Barton, D.: Big data: the management revolution. Harvard Bus. Rev. 90(10), 61–67 (2012)
Schadt, E.E.: The changing privacy landscape in the era of big data. Mol. Syst. Biol. 8(612), 1–3 (2012)
Schadt, E.E., Linderman, M.D., Sorenson, J., Lee, L., Nolan, G.P.: Computational solutions to large-scale data management and analysis. Nat. Rev. Genet. 11(9), 647657 (2010)
Seife, C.: Big data: the revolution is digitized. Nature 518(7540), 480–481 (2015)
Topol, E.J.: The big medical data miss: challenges in establishing an open medical resource. Nat. Rev. Genet. 16(5), 253254 (2015)
Wang, H., Xu, Z., Fujita, H., Liu, S.: Towards felicitous decision making: an overview on challenges and trends of big data. Inf. Sci. 367–368(2016), 747–765 (2016)
Wang, Y., Hajli, N.: Exploring the path to big data analytics success in healthcare. J. Bus. Res. 70(2017), 287–299 (2017)
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Patgiri, R. (2018). Issues and Challenges in Big Data: A Survey. In: Negi, A., Bhatnagar, R., Parida, L. (eds) Distributed Computing and Internet Technology. ICDCIT 2018. Lecture Notes in Computer Science(), vol 10722. Springer, Cham. https://doi.org/10.1007/978-3-319-72344-0_25
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DOI: https://doi.org/10.1007/978-3-319-72344-0_25
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