Big Data Security: Biggest Challenges, Analytics and Use cases
Keywords:
Big-data, Hadoop, Map Reduce, Security, HDFSAbstract
Factors such as population growth and resource depletion are driving manufacturers to improve their productivity and sustainability. Consumers are becoming more informed about the things they use, therefore producers need to be flexible and open to new developments. The manufacturing industry has developed thanks to the expertise of big data analytics, or BDA. Businesses have enhanced the quality of their products while also being more adaptable in their operations. This study looks at the many advantages of big data that manufacturing companies may use to improve. It also goes through well-known manufacturers` examples and how they might set the standard for big data-enabled production. Lastly, it tackles some of the issues that must to be resolved in-order to enable big-data analytics for enterprises of all stripes, not just the best manufacturers.
References
Puneet Singh Duggal, Sanchita Paul, “Big Data Analysis: Challenges and Solutions”, In RGPV, Page No.269-276, 2013.
Abdul Ghaffar Shoro and Tariq Rahim Soomro, “Big Data Analysis: Ap Spark Perspective”, Global Journal of Computer Science and Technology: C Software & Data Engineering, Volume 15, Issue 1, and Version 1.0, 2015.
Mr.S.S. Aravinth, Ms.A.Haseenah Begam, Ms.Shanmuga priya, Ms.S. Sowmya and Mr.E. Arun, “An Efficient HADOOP Frameworks SQOOP and Ambari for Big Data Processing”, International Journal for Innovative Research in Science & Technology, Volume 1, Issue 10, 2015.
Chun Wei Tsai, Chin Feng Lai, Han Chieh Chao and Athanasios V. Vasilakos, “Big Data Analytics: A Survey”, Journal of Big Data, https://doi.org/10.1186/s40537-015-0030-3, 2015.
DunrenChe, MejdlSafran, and Zhiyong Peng, “From Big Data to Big Data Mining: Challenges, Issues, and Opportunities”, DASFAA Workshops 2013, LNCS 7827, pp.1–15, 2013.
Russom, P.: Big Data Analytics. In: TDWI Best Practices Report, pp. 1–40 (2011)
Jeffrey Shafer, Scott Rixner, and Alan L. Cox.” The Hadoop Distributed Filesystem: Balancing Portability and Performance”. DOP is March 30, 2010.
Kenneth Wottrich, and T. Bressoud, “The performance characteristics of mapreduce applications on scalable clusters”, in Proceedings of theMidstates Conference on Undergraduate Research in Computer Science and Mathematics (MCURCSM), Denison University, Granville,USA, Nov. 2011.
S. Loughran, J.M.A. Calero, A. Farrell, J. Kirschnick, and J.Guijarro, "Dynamic deployment of mapreduce architecture in the cloud."IEEEInternet Computing, vol. 16, no. 6, pp. 40-50, Dec. 2012.
T. White, “MapReduce and the hadoop distributed file system”, in Hadoop: The definitive guide, 1st edition, O`Reilly Media, Inc., Yahoo press, 2012.
A.Elsayed, O. Ismail, and M.E. El-Sharkawi, "MapReduce: state-of-the-art and research directions", International Journal of Computer andElectrical Engineering, vol. 6, no. 1, pp. 34-39, Feb. 2014.
Kanchan A. Khedikar, “Role of Cloud Computing in Big Data Analytics ,Using MapReduce Component of Hadoop”, Maharashtra, India., International Journal of Innovations in Engineering and Technology (IJIET), Volume 4 Issue 1, pp.87 ISSN: 2319 – 1058, 2014.
Lin Wei-wei, Liu Bo, “Hadoop Data Load Balancing Method Based on Dynamic Bandwidth Allocation”, Journal of South China University of Technology (Natural Science Edition) , pp. 40(9):42-47, 2012.
B. Saraladevi, N. Pazhaniraja, P. Victer Paul, M.S. SaleemBasha, P. Dhavachelvan, “Big Data and Hadoop-a Study in Security Perspective”, Procedia Computer Science, ISSN 1877-0509, Volume 50 , pp. 596-601, 2015.
D. Shehzad, Z. Khan, H. Da?, and Z. Bozku?, “A novel hybrid encryption scheme to ensure Hadoop based cloud data security”, International Journal of Computer Science and Information Security (IJCSIS), Volume 14, 2016.
J.S. Hurwitz, A. Nugent, F. Halper, M. Kaufman, “Big data for dummies Wiley”, USA 2013.
A.Antony prakash, “Data Security On Hadoop Distributed File System Using Rsa Encryption”, IJRAR, Volume 6, Year 2019.
Yusuf Perwej,” The Hadoop Security in Big Data: A Technological Viewpoint and Analysis”, Isroset-Journal (IJSRCSE), Vol.7, Issue.3, pp.10-14, Jun-2019.
A.Antony prakash, “A Novel Hadoop Map Reduce Paradigm Using An Effective Epca Approach” , Journal of Analysis and Computation (JAC), Volume , Year 2019,
Mantripatjit Kaur, Anjum Mohd Aslam, “Big Data Analytics on IOT: Challenges, Open Research Issues and Tools, Vol.6 , Issue.3 , pp.81-85, Jun-2018
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