Empowerment through Big Data : Issues & Challenges

Authors

  • Sapna Arora  Research Scholar, Banasthali Vidyapith, Jaipur, India
  • Manisha Agarwal  Associate Professor, Banasthali Vidyapith, Jaipur, India

Keywords:

Web, Big data, Perspectives, Tools, Perceived data

Abstract

Big data is a powerful area for narrowing down the useful information from large amount of data which remains unutilized. In a country like India, where majority of populations using devices like mobile phones, laptops and other electronic gadgets, through which an immense amount of heterogenous data generates. This massive amount of data allows different users to work with different types of data that could either be in text, audio or video format in order to fetch out productive information. With a large amount of opportunity to work with, Big data also offers a number of challenges to deal with. Big data has inordinate potential to empower world using proper methods. This study surveys about Big data and the methodologies associated with big data. Also, it gives new insights on how quality information fetching helps in various fields. The study also proposes the different perspectives of big data and future of perceiving data.

References

  1. Storey C., Song, Yeol-II. 2017 Big data technologies and management: What conceptual modelling can do., Data & knowledge engineering, vol.108 pp.50-67, Elsevier.
  2. Gartner's Big Data Definition Consists of Three Parts, Not to Be Confused with Three "V"s: https://www.forbes.com/sites/gartnergroup/2013/03/27/gartners-big-data-definition-consists-of-three-parts-not-to-be-confused-with-three-vs/#18e54f8d42f6
  3. https://tdwi.org/articles/2017/02/08/10-vs-of-big-data.aspx
  4. Yang, Chaowei, Huang, Qunying, Zhenlong Liu, Kai,Hu Fei.2016. Big data and cloud computing : innovation, opportunites and challenges, pp:13-53, Taylor and Francis Group
  5. Jayant Madhavan, Afanasiev Loredana, antova Lyublena; Halevy, Alon.2009. "Harnessing the deep web: Present and future", CIDR
  6. Thakkar Pooja, Mehta, Anil, Manisha. 2015. Performance analysis and prediction in Educational data mining: A research travelogue, vol.110, International Journal of Computer Applications
  7. Garg Ravish, Singh Atul .2010." Proposed design for healthcare system in Remote Areas" In Proceedings of National conference on Role and Application of Information and communication technology in inaccessible areas, pp 263-265.
  8. Saraju P Mohanty, Choppali Uma, Kougianos.2016. "Everything you wanted to know about smart cities: The Internet of things is the backbone", pp.60-70 IEEE
  9. Chen M. 2014. Related Technologies in Big Data. Heidelberg, Germany: pp. 11-18, Springer
  10. Kitchein Rob. 2014. The real-time city? Big data and smart urbanism, Geo Journal, pp.1-14, Springer
  11. Dean Jeffrey and Ghemawat Sanjay.2008. MapReduce: Simplified Data Processing on Large Clusters, In Proceedings of the 1997 ACM SIGMOD International Conference, pp.1-13, ACM
  12. Steinklauber.K. .2014. Data Protection in the Internet of Things. Online: https://securityintelligence.com/data-protection-inthe-internet-of-things
  13. Li, H., Lu, X. 2014 "Challenges and trends of big data analytics." In: Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, China. pp. 566-567.
  14. Ji Changqing, Li Yu, Qiu Wenming.2012. Big Data Processing in Cloud Computing Environments, IEEE
  15. Burtica R., E. M. Mocanu, M. I. Andreica, and N. Ţăpuş.2012. Practical Application and Evaluation of No-SQL Databases in Cloud Computing. In Proceedings of IEEE International Systems Conference (Sysco), pp: 1-6.
  16. Shvachko K., Hairong, S. Radia, R. Chansler.2010. The Hadoop Distributed File System, Mass Storage Systems and Technologies (MSST), IEEE 26th Symposium on, pp. 1-10, ACM
  17. Data Modelling and Data Analytics. 2015.: A Survey from a Big Data Perspective, Journal of Software Engineering and Applications, pp. 617-634 online: https://file.scirp.org/pdf/JSEA_2015123014504942.pdf
  18. Orgaza Gemabellow, Jason, Camachoa David. 2015. Social big data: Recent achievements and new challenges, Information fusion,pp:1-14.
  19. Chen X.Y. and Jin Z.G. 2012. Research on key technology and applications for internet of things, Physics Procedia, 33, pp. 561-566 .
  20. Lipic Tomislav, skala Karolj, Afgan Enis, "Deciphering Big data stacks: an overview of Big data tools"
  21. Ahmed Abbasi, suprateek sarker, Roger HL chiang,2016. "Big data research in information system: towards an inclusive research agenda" ,Journal of the association for Information systems 17(20),
  22. Sherman Rick.2013. "Maximize your ROI from business intelligence" Analytics Best Practices: The analytical sandbox: white paper.

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Published

2018-06-30

Issue

Section

Research Articles

How to Cite

[1]
Sapna Arora, Manisha Agarwal, " Empowerment through Big Data : Issues & Challenges, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.423-431, May-June-2018.