Cloud Analytics and its Implementation Challenges
DOI:
https://doi.org/10.26438/ijcse/v6i4.137142Keywords:
Data analytics, cloud computing, cloud analyticsAbstract
Cloud computing is “a style of computing in which scalable and elastic IT-enabled capabilities are delivered as a service to external customers using Internet technologies.”. Cloud computing is capable of enhancing business productivity and agility while allowing for greater efficiency and reducing costs. It is also possible to migrate big data to cloud. Increasingly, the focus of organizations has been on the ways that cloud will power data analytics. Cloud analytics enable organizations to move business intelligence, data warehouse operations and Online Analytical Processing (OLAP) to cloud. Data management, security, integration, compliance issues, poor software architecture and design are some of the issues that motivates with cloud inclusion for analytics solution. This paper aims in outlining the data analytics, cloud computing, cloud Analytics, and its Architecture, applications of cloud analytics and implementation challenges along with suggested solutions.
References
M. D. Assunção, R. N. Calheiros, S. Bianchi, M. A. Netto & R. Buyya. “Big Data computing and clouds: Trends and Future Directions,” 79 -80 (2015), pp. 3-15. For Journal of Parallel and Distributed Computing,
X. Sun, B. Gao, Y. Zhang, W. An, H. Cao, C. Guo, W. Sun, “Towards delivering analytical solutions in cloud: Business models and technical challenges,” IEEE Computer Society, Washington, USA, 2011, pp. 347-351for IEEE International Conference on e-Business Engineering (ICEBE 2011)..
D. Talia. “Toward Cloud-based Big-data Analytics,” IEEE Computer Science, (2013), pp. 98-101.for Conference.
C. Elena. “Business Intelligence”, 1(2), 2011, pp. 1-12, for Journal of Knowledge Management, Economics and Information Technology,
J. Ranjan. “Business Intelligence: Concepts, Components, Techniques and Benefits, 9(1), 2009, pp. 60-70,for Journal of Theoretical and Applied Information Technology
Dp.Acharja,Kauser Ahmed p title “Suvey on Big Data Analytics:challenge,open research issues and tools”, volume 7,issue 2,2016 for International Journal of Advanced Computer Science and Applications
Bala M Balachandran,sivika Prasad title”challenges and benefits of deploying Big Data Analytics in Cloud for Business Intelligence” for jounal elsevier
R.VidhyaLakshmi, Dr.VikasKumar tilte "Challenges in implementation of cloud analytics" volume 4,issue 6,june 2016 for International journal of Information technology
H. Demirkan, D. Delen. “Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud,” Decision Support Systems, 55(2013), pp. 412- 421.
C. W. Tsai, C. F. Lai, H. C. Chao and A. V. Vasilakos. “Big Data Analytics: a survey,” A Springer Open Access Journal of Big Data, (2015)pp. 2-21 for Journal
J. Roski, G. W. Bo-Linn, T. A. Andrews. “Creating value in health carethroughbigdata: Opportunities and Policy Implications,” Health Affairs, 2014, 33(7), pp. 1115-1122.for Journal
P. Vidhyalakshmi, V. Kumar. “Cloud Computing Challenges and Limitations for Business Applications,” 2013, 1(1), pp. for Global Journal of Business Information Systems7-20.
J. Myers. “Analytics in the Cloud”, an Enterprise Management Associates (EMA™) End-User Research Report. Jan, 2015.for journal
R.VidhyaLakshmi,Dr.VikasKumar tilte "Challenges in implementation of cloud analytics" volume 4,issue 6,june 2016 for International journal of Information technology
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