Peer Reviewed Article
Vol. 2 (2015)
Requirement of Cloud Analytics and Distributed Cloud Computing: An Initial Overview
Tech Yahoo DBA, Yahoo Inc., Sunnyvale, California, USA
Abstract
A better and more streamlined user experience is the result of the research demonstrating how cloud analytics tools and software are particularly effective for processing vast data sets, producing insights in easily digestible formats on demand, and improving the user interface. Cloud computing is a large-scale information technology solution that can customize and deliver a new kind of environment based on information technology to everyday users, in particular to IT and computing systems users. Cloud computing was developed by Amazon Web Services (AWS) and Microsoft Azure. The use of cloud computing comes with a multitude of features and aspects, including internet backup. It comes with just-in-time delivery of standardized storage process, management, and infrastructure, as a measurable service, on a 'Pay-as-you-go' type, and is therefore widely accessible in various organizations and institutions. Cloud computing and its load balancing are essential features that must be taken care of to maintain a healthy Information Management system. In a condensed form, this paper discusses a significant number of topics that are connected to the given subject.
DOI: https://doi.org/10.18034/ijrsps.v2.70
References
- Buckland, M. & Liu, Z. (1995). History of information science. Annual Review of Information Science and Technology, 30, 385-416.
- Martin, S. B. (1998). Information technology, employment, and the information sector: Trends in information employment 1970–1995. Journal of the American Society for Information Science, 49(12), 1053–1069.
- Pau1, P. K. (2013). Cloud Computing Based Green Information Infrastructure: The Future of Eco Friendly Information Science Practice. PARIPEX Indian Journal of Research, 2(11), 122-124.
- Pau1, P. K., & Dangwal, K. L. (2014). Cloud Computing Based Educational Systems and its challenges and opportunities and issues. Turkish Online Journal of Distance Education-TOJDE, 15(1), 89-98.
- Saracevic, T. (1975). Relevance: A review of and a framework for the thinking on the notion in information science. Journal of the American Society of Information Science, 26(6), 321–343.
- Saracevic, T. (1979). An essay on the past and future of information science education: Historical overview. Information Processing & Management, 15(1), 1–15.
- Vickery, B. C., & Vickery, A. (1987). Information science in theory and practice. London: Butterworths.