Big Data Analytics : Modern Techniques and Technologies
Keywords:
Big Data, Analytics, Volume, VarietyAbstract
Big data is something that is used to analyze insights and lead to better decision. Whereas Big data analytics involves automation insights into a certain data sets and supposes the usage of queries and data aggregation procedure. This paper presents about big data analytics, modern techniques & technology. Here big data analytics explains methodology, definition of big data, process of big data and benefits of big data. This paper only focuses on process of big data analytics and also focusing about modern techniques & technology.
References
- Chen, H., Chiang, R. H. L., &Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4).
- Hey, T., Tansley, S., & Tolle, K. (Eds.). (2009). The fourth paradigm data-intensive scientific discovery. Redmond, Wash.: Microsoft Research.
- Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A. H. (2011). Big data: The next frontier for innovation, competition, and productivity (pp. 1-143).The McKinsey Global http://www.mckinsey.com/insights/businesste hnology/bigdata_the_next_frontier_for_innovation.
- Miller, K. (n.d.). Big Data Analytics in Biomedical Research. Biomedical Computation Review, (Winter 2011/2012), 14-21.
- Picciano, A. G. (2012). The Evolution of Big Data and Learning Analytics in American Higher Education. Journal of Asynchronous Learning Networks, 16(3), 9- 20.
- Russom, P. (2011). TDWI Best Practices Report: Big Data Analytics (Best Practices) (pp. 1-35). The Data Warehouse Institute (TDWI). Retrieved from
- Siemens, G., & Long, P. (2011). Penetrating the Fog: Analytics in Learning and Education. EDUCAUSE Review, 46(5), 30-32
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.