Big Data-A Review

Hardeep Singh*, GURPREET SINGH**
* Assistant Professor, Department of Computer Science & Engineering, Guru Nanak Dev University Regional Campus, Sathiala, Amritsar, India.
** Assistant Professor, Department of Computer Science & Engineering, Guru Nanak Dev University Regional Campus, Fattu Dhinga, Kapurthala, India.
*** PG Scholar, Department of Computer Science & Engineering, Guru Nanak Dev University Regional Campus, Sathiala, Punjab, India.
Periodicity:December - February'2017
DOI : https://doi.org/10.26634/jit.6.1.13507

Abstract

Big data is the current state-of-the-art topic creating its unique place in the research and industry minds to look into depth of topic to get valuable considerable results needed to meet the future data mining and analysis needs. Big data refers to the fast moving, large size of different structural form data increasing at fast pace. So, there also prevail the need of tools to tackle it as the current and traditional techniques are getting unfit for the current key challenges and security aspects of big data. This paper deals with characteristics of big data, applications of big data in various different fields as it has now became a multi-disciplinary aspect to review. Big data generation, storing, analysis and transmission are increasingly growing which has accompanied it as its characteristics. In this paper, different sections through an overlook on different aspects on big data, such as sources, security challenges, and future directions regarding big data mining and analysis have been discussed.

Keywords

Big Data Analysis, Hadoop, Internet of Things, NoSQL, Multidimensional.

How to Cite this Article?

Hardeep Singh, Gurpreet Singh and Gurpreet Singh (2017). Analysis of Image Enhancement Algorithms. i-manager’s Journal on Information Technology, 6(1), 36-43. https://doi.org/10.26634/jit.6.1.13507

References

[1]. Aggarwal, C., (2013). Managing and Mining Sensor Data. Springer Science of Business Media.
[2]. Bifet, A., Holmes, G., Kirkkby, R., and Pfahringer, B., (2010). “MOA: Massive Online Analysis”. International Journal of Machine Learning Research, Vol. 11, pp. 1601- 1604.
[3]. Chiefinnovator (n.d.). Google, Growth of Big Data Technology [Infographic]. Retrieved from http://www. chiefinnovator.com/sites/chiefinnovator.com/files/BigDat a_1.jpg
[4]. Cuzzocrea, A., Song, Y., and Davis, K., (2011). “Analytics of Large Scale Multidimensional Data: The Big th Data Revolution!”. In Proceedings of the ACM 14 International Workshop on Data Warehousing and OLAP, pp. 101-104. ACM.
[5]. EY, (n.d.). V's of Big Data Technology. [Infographic]. Retrieved from http://www.ey.com/Media/vwLUExtFile/ big-data/$FILE/ey-big-data-the-four-vs.jpg
[6]. Fan, W., and Bifet, A., (2013). “Mining big data: Current status and forecast to the future”. ACM sIGKDD Explorations, Newsletter, Vol. 14, No. 2, pp. 1-5.
[7]. Hussain N.,(n.d.). Applications of Big Data Technology [Infographic]. Retrieved from https: // image.slidesharecdn.com/bigdatappt-140225061440-phpa pp01/95/big-data-ppt-21-638.jpg?cb= 1393308929
[8]. Inukollu, V., Arsi, S., and Ravuri, S., (2014). “Security Issues Associated with Big Data in Cloud Computing”. International Journal of Security & its Applications, Vol. 6, No. 3, p-45.
[9]. Mora, A., Chen, Y., and Lane, A., (2012). “Top Ten Big Data Security and Privacy Challenges”. Cloud Security Alliance, 140.
[10]. Snijders, C., Matzat, U., and Reips, U., (2012). “Big Data: Big Gaps of Knowledge in the Field of Internet”. International Journal of Internet Science, Vol. 7, No. 1, pp. 1-5.
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