Challenges and outlook with Big Data
Main Article Content
Abstract
In this paper we have penetrate an era of Big Data. Through better analysis of the large volumes of data that are becoming available, there is the potential for making faster advances in many scientific disciplines and improving the profitability and success of many enterprises. However, many technical challenges described in this paper must be addressed before this potential can be realized fully. The challenges include not just the obvious issues of scale, but also heterogeneity, lack of structure, error-handling, privacy, timeliness, provenance, and visualization, at all stages of the analysis pipeline from data acquisition to result interpretation.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
IJCERT Policy:
The published work presented in this paper is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means that the content of this paper can be shared, copied, and redistributed in any medium or format, as long as the original author is properly attributed. Additionally, any derivative works based on this paper must also be licensed under the same terms. This licensing agreement allows for broad dissemination and use of the work while maintaining the author's rights and recognition.
By submitting this paper to IJCERT, the author(s) agree to these licensing terms and confirm that the work is original and does not infringe on any third-party copyright or intellectual property rights.
References
Advancing Discovery in Science and Engineering. Computing Community Consortium. Spring 2011.
Advancing Personalized Education. Computing Community Consortium. Spring 2011.
Smart Health and Wellbeing. Computing Community Consortium. Spring 2011.
A Sustainable Future. Computing Community Consortium. Summer 2011.
Getting Beneath the Veil of Effective Schools: Evidence from New York City. Will Dobbie, Roland G. Fryer, Jr. NBER Working Paper No. 17632. Issued Dec. 2011.
Drowning in numbers - Digital data will flood the planet—and help us understand it better. The Economist, Nov 18, 2011. http://www.economist.com/blogs/dailychart/2011/1 1/big-data-0
Using Data for Systemic Financial Risk Management. Mark Flood, H V Jagadish, Albert Kyle, Frank Olken, and Louiqa Raschid. Proc. Fifth Biennial Conf. Innovative Data Systems Research, Jan. 2011.
Pattern-Based Strategy: Getting Value from Big Data. Gartner Group press release. July 2011. Available at http://www.gartner.com/it/page.jsp?id=1731916
Understanding individual human mobility patterns. Marta C. González, César A. Hidalgo, and AlbertLászló Barabási. Nature 453, 779-782 (5 June 2008)
Computational Social Science. David Lazer, Alex Pentland, Lada Adamic, Sinan Aral, Albert-László Barabási, Devon Brewer,Nicholas Christakis, Noshir Contractor, James Fowler, Myron Gutmann, Tony Jebara, Gary King, Michael Macy, Deb Roy, and Marshall Van Alstyne. Science 6 February 2009: 323 (5915), 721-723.
Big data: The next frontier for innovation, competition, and productivity. James Manyika, Michael Chui, Brad Brown, Jacques Bughin, Richard Dobbs, Charles Roxburgh, and Angela Hung Byers. McKinsey Global Institute. May 2011.
Materials Genome Initiative for Global Competitiveness. National Science and Technology Council. June 2011.
Folowing the Breadcrumbs to Big Data Gold. Yuki Noguchi. National Public Radio, Nov. 29, 2011. http://www.npr.org/2011/11/29/142521910/thedigital-breadcrumbs-that-lead-to-bigdata
The Search for Analysts to Make Sense of Big Data. Yuki Noguchi. National Public Radio, Nov. 30, 2011. http://www.npr.org/2011/11/30/142893065/thesearch-for-analysts-to-make-sense-of-big-data
The Age of Big Data. Steve Lohr. New York Times, Feb 11, 2012. http://www.nytimes.com/2012/02/12/sundayreview/big-datas-impact-in-the-world.html 15
Designing a Digital Future: Federally Funded Research and Development in Networking and Information Technology. PCAST Report, Dec. 2010. Available at http://www.whitehouse.gov/sites/default/files/micr osites/ostp/pcast-nitrd-report-2010.pdf
SDSS-III: Massive Spectroscopic Surveys of the Distant Universe, the Milky Way Galaxy, and ExtraSolar Planetary Systems. Jan. 2008. Available at http://www.sdss3.org/collaboration/description.pdf