Challenges of Data Analytics for Innovative V’s and Security in Bigdata

Authors

  • Angelin Rosy M Department of MCA, Er.Perumal Manimekalai College of Engineering, Anna University, Hosur, India
  • Deepa R Department of MCA, Er.Perumal Manimekalai College of Engineering, Anna University, Hosur, India
  • Felix Xavier Muthu M Department of Mechanical Engineering, St.Xavier’s Catholic College of Engineering, Anna University, Nagercoil, India

Keywords:

Bigdata, Applicationsofbigdata, Privacy, Security, Challenges

Abstract

Data sets that may be analyzed computationally behavior, interactions are too large. Big data considering the security point of view is safeguarding the user’s privacy. A framework for big data security analysis and the semantic technology. The emerging security analysis challenge in big data environment is getting more attention of security. Framework that efficiently processes large volumes of data. The big data analytics is merged with big data security which results in big data security analytics. In this paper, I explain the big data challenges and privacy of outsourced enhancing security be handled by analytics techniques. Big data main problem is privacy of security challenges.

References

[1] Robinson, Department of Computer Science. https://www.robinson.gsu.edu/org.com.

[2] Priyank Jain and Manasi Gyanchandani. https://doi.org/10.1186/S40537-016-0059./st.

[3] Data Flair Team. https://data-flair.training>blogs>Bigdata.

[4] Berkman Klein Center. https://Cyber.harvard.edu>2018/03>bigdataprivacy.

[5] Science Soft Research Center. https://www.scnsoft.com>blog>security.

[6] Sisense Data Center. https://www.flydata.com>the6-challengingbigdata.

[7] Dataversity. https://www.dataversity.net>bigdatachallenges.

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Published

2025-11-25

How to Cite

[1]
M. Angelin Rosy, R. Deepa, and M. Felix Xavier Muthu, “Challenges of Data Analytics for Innovative V’s and Security in Bigdata”, Int. J. Comp. Sci. Eng., vol. 7, no. 17, pp. 76–78, Nov. 2025.

Issue

Vol. 7 No. 17 (2019): IJCSE Special Issue May Edition

Section

Review Article

License

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