Abstract
Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information.Big Data it’s varied, it’s growing, it’s moving fast, and it’s very much in need of smart management In this paper, we first review a literature survey of big data, second review the related technologies, such as could computinq and Hadoop, We then focus on the five phases of the value chain of big data, i.e.,data sources, data collection, data management, data analysis and data visualization. And we finally examine the several representative applications of big data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Tsuchiya, S., Sakamoto, Y., Tsuchimoto, Y., Lee, V.: Big data processing in cloud environments. FUJITSU Science and Technology J. 48(2), 159–168 (2012)
Big Data: Science in the Petabyte Era: Community Cleverness Required. Nature 455(7209) (2008)
What is Big Data. IBM, New York (2013). http://www-01.ibm.com/software/data/bigdata/
Gantz, J., Reinsel, D.: The digital universe in 2020: big data, bigger digital shadows, and biggest growth in the far east. In: Proc. IDC iView, IDC Anal. Future (2012)
Mayer-Schonberger, V., Cukier, K.: Big data: a revolution that will transform how we live, work, and think. Eamon Dolan/Houghton Mifflin Harcourt (2013)
Manyikaetal, J.: Bigdata: The Next Frontier for Innovation, Competition, and Productivity, p. 1137. McKinsey Global Institute, San Francisco (2011)
Gartner Group, Inc. http://www.gartner.com/it-glossary/big-data/
Oracle Big Data. https://www.oracle.com/bigdata/index.html
Chen, M., Mao, S., Liu, Y.: Big Data: a survey. MONET 19(2), 171–209 (2014). Spring science business Media, New York
Xindong, W., Zhu, X., Gong-Qing, W., Ding, W.: Data Mining with Big Data. IEEE Trans. Knowl. Data Eng. 26(1), 97–107 (2014)
Kong, W., Wu, Q., Li, L., Qiao, F.: Intelligent data analysis and its challenges in big data environment. In: 2014 IEEE International Conference on System Science and Engineering (ICSSE), pp. 108–113 (2014)
Gupta, R., Gupta, H., Mohania, M.: Cloud computing and big data analytics: what is new from databases perspective? In: Srinivasa, S., Bhatnagar, V. (eds.) BDA 2012. LNCS, vol. 7678, pp. 42–61. Springer, Heidelberg (2012)
The Apache Software Foundation (2014). http://hadoop.apache.org/
Han, H., Wen, Y., Chua, T.-S., Li, X.: Toward Scalable Systems for Big Data Analytics: A Technology Tutorial. IEEE Access 2, 652–687 (2014)
Evans, D., Hutley, R.: The explosion of data. white paper (2010)
Wahab, M.H.A., Mohd, M.N.H., Hanafi, H.F., Mohsin, M.F.M.: Data pre-processing on web server logs for generalized association rules mining algorithm. World Acad. Sci. Eng. Technol. 48, 36 (2008)
Chandramohan, V., Christensen, K.: A first look at wired sensor networks for video surveillance systems. In: Proceedings LCN 2002, 27th annual IEEE conference on local computer networks, pp. 728–729. IEEE
Bhatt, C.A., Kankanhalli, M.S.: Multimedia data mining: state of the art and challenges. Multimedia Tools Appl. 51(1), 35–76 (2011). [184] G. Blackett (2013)
Richardson, J., Schlegel, K., Hostmann, B., McMurchy, N.: Magic quadrant for business intelligence platforms (2012). [Online]
Friedman, V.: Data visualization and infographics (2008). http://www.smashingmagazine.com
Li, Y., Chen, W., Wang, Y., Zhang, Z.-L.: Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships. ACM, pp. 657–666 (2013)
Agrawal, D., Bernstein, P., Bertino, E.: Challenges andopportunities withbigdata. Acommunity white paper (2012)
Ma, Y., Wu H., Wang, L.: Remote sensing big data computing: challenges and opportunities. Future Generation Computer Systems (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Chebbi, I., Boulila, W., Farah, I.R. (2015). Big Data: Concepts, Challenges and Applications. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9330. Springer, Cham. https://doi.org/10.1007/978-3-319-24306-1_62
Download citation
DOI: https://doi.org/10.1007/978-3-319-24306-1_62
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24305-4
Online ISBN: 978-3-319-24306-1
eBook Packages: Computer ScienceComputer Science (R0)