Open Access Open Access  Restricted Access Subscription or Fee Access

Big Data Analysis and Framework

Sakshi Shewale, Joni Birla, Mahesh Kumar, Jitender Singh

Abstract


Big data is a wide span for data sets so great or composite that outdated data processing submissions are insufficient. Challenges include study, capture, data curation, examine, sharing, storage, transfer, imagining, and info privacy. The period often refers simply to the use of prognostic analytics or other definite progressive procedures to excerpt value from data, and seldom to a specific size of data set. Accuracy in big data may chief to more assured decision making and better decisions can mean superior working efficiency, cost reduction and reduced risk. Investigation of data sets can discover new connexions, to "spot business tendencies, avert diseases, and combat crime and so on. Researchers, business executives, practitioners of media, and marketing and administrations alike frequently meet problems with large data sets in levels comprising Internet search, finance and business informatics. Scientists encounter restrictions in e-Science work, comprising meteorology, genomics, connectomics, complex physics simulations, and biological and environmental investigation

Full Text:

PDF

References


The Economist, Nov 2011, "Drowning in numbers – Digital data will flood the planet and help us understand it better", http://www.economist.com/blogs/dailychart/2011/11/big-data-0.

Lohr S., Feb 11, 2012, "The Age of Big Data", New York Times,

http://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-theworld.html.

Lynch M., Nov 13, 2012, "Barack Obama's Big Data won the US

election", Computerworld, http://www.computerworld.com/s/artic

le/9233587/Barack_Obama_39 _s_Big_Data_won_the_US_election.

Fanning K., Grant R. Big Data: Implications for Financial Managers, J

Corpor Account Finan. 2013; (24):5:23–30p.

The Economist, 19 May 2012, "Big data - Crunching the numbers",

http://www.economist.com/node/21554743.

Taylor P. Big data in the spotlight as never before, Financial Times. 2013.

French R.M. Moving beyond the Turing test, Commun ACM. 2013;

(12): 74–7p.

Tekiner F., Tsuruoka Y., Tsujii J., Ananiadou S., Keane J., "Parallel Text Mining for Large Text Processing", pages 348-353, in Proceedings of IEEE CSNDSP2010, 21-23 July, Newcastle,UK.

Bonnet L., Laurent A., Sala M., et al.Reduce, You Say: What NoSQL Can Do for Data Aggregation and BI in Large Repositories", dexa, 22nd International Workshop on Database and Expert Systems Applications 2011; 483–8p.

Merrill R.D. Storage Economics –Four Principles for Reducing Total

Cost of Ownership", Hitachi Data Systems Coroporation White Paper.

McGuire T., Manyika J., Chui M. Why Big Data is the New Competitive Advantage, Ivey Bus J. 2012. www.iveybusinessjournal.com/topics/strategy/why-big-data-is-the-newcompetitive-advantage.

Mark B., "Gartner Says Solving 'Big Data' Challenge Involves More Than Just Managing Volumes of Data". Gartner, June 27, 2011,

http://www.gartner.com/newsroom/id/1731916.

Johnson E.J. "Big Data + Big Analytics = Big Opportunity", J Finan

Exec. 2012; 1–4p.

Nichols, W., March 2013, "Advertising Analytics 2.0", Harvard Businss Review, 91(3): 60-68.

Stonebraker M., Hong J. Researchers' Big Data Crisis; understanding design and functionality, Commun ACM.2012; 55(2): 10–1p.

Davenport, Thomas H., Patil D.J. Data scientist: the sexiest job of the 21st century, Harvard Bus Rev. 2012; 90(10): 70–6p.

White T. Hadoop: The Definitive Guide. 3rd Edn., O'Reilly; 2012, 978-1-449-31152-0.

Saecker M., Markl V. Big Data analytics on modern hardware

architectures: a technology survey, Springer Lecture Notes in Business

Information Processing. Volume 138,2013, 125–49p.

McCreadie R., Macdonald C., Ounis I. MapReduce indexing strategies: studying scalability and efficiency, J Inform Process Manag.: Int J Arch. 2012; 48(5): 873–88p

Manyika J., Chui M., Brown B., et al. Big data: The next frontier for

innovation, competition, and productivity, McKinsey Global

Institute, May 2011,ttp://www.mckinsey.com/insights

/business_technology/big_data_the _next_frontier_for_innovation.

Allen B., Bresnahan J., Childers L., et al. Software as a Service for Data Scientists, Commun ACM. 2012; 55(2):81–8p.

Smith S. Is Data the New Media?,EContent Magazine. 2013; 14–19.


Refbacks

  • There are currently no refbacks.