A Statistical Survey on Imperial Data Handling in Big Data
|
International Journal of Computer Trends and Technology (IJCTT) | |
© 2014 by IJCTT Journal | ||
Volume-18 Number-4 |
||
Year of Publication : 2014 | ||
Authors : T. Princess Raichel, S.Kokila, N.Sowmya |
T. Princess Raichel, S.Kokila, N.Sowmya "A Statistical Survey on Imperial Data Handling in Big Data". International Journal of Computer Trends and Technology (IJCTT) V18(4):137-145, Dec 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
In 2010 the world has generated 1ZB of data and expected that it will generate 7ZB in 2014.So that it will generate devices of network that includes Embedded Sensors, Smart Phones & Tablet computers it will be an opportunity in human genomics,healthcare,economical,cultural,oil and gas,political stage,surveillance,finance.Big Data technologies describe a new generation of Technologies & Architecture.Big data requires a change in computing Architecture to customers so that they can handle data storage and server processing heavily. Most of the companies reply on applications for communication and to provide service to the customers. So big data is a big challenge for companies which deal with large data and fast growing information.Big data has a direct impact on Applications, Services and Software technologies in the view of Technical,Legal,Social & market related aspects.The data storage is a major issue for owners, so efficient and scalable technology for data management and storage is no longer issue in big data. The data is generated on daily basis by all the sectors in the whole world.
References
[1] MIKE 2.0, Big Data Definition, http://mike2.openmethodology.org/wiki/Big Data Definition
[2] P. Zikipoulos, T. Deutsch, D. Deroos, Harness the Power of Big Data, 2012, http://www.ibmbigdatahub.com/blog/harnes s-power-big-data-book-excerpt
[3] Gartner, Big Data Definition,http://www.gartner.com/it-glossary/big-data/
[4]E. Dumhill, “What is big data?”, 2012 ,http://strata.oreilly.com/2012/01/what-is-big-data.html
[5] A Navint Partners White Paper, “Why is BIG Data Important?” May 2012, http://www.navint.com/images/Big.Data.pdf
[6] Greenplum. A unified engine for RDBMS and Map Reduce, 2009. http://www.greenplum.com/resources/mapre Duce/.
[7]“Data Analysis Challenges” by the JASON study group (JSR- 08- 142, December2008), available at http: // www .fas .org / irp / agency / dod / jason / data .pdf
[8] Hastie, Trevor, Robert Tibshirani, and Jerome Friedman. 2008. The Elements of Statistical Learning: Data Mining, Inference and Prediction. New York: Springer-Verlag
[9] Piketty, Thomas, and Emmanuel Saez. 2003. “Income Inequality in the United States, 1913–1998.” Quarterly Journal of Economics118 (1): 1–39.
[10]Scott, Steve, and Hal Varian. 2013. “Bayesian Variable Selection for Nowcasting Economic Time Series.” ASSA Annual Meeting, San Diego, CA, Presentation Overheads
Keywords
Big Data, Natural Compositions, Survey of Data