Author : D. Rajkumar 1
Date of Publication :20th April 2018
Abstract: The phrase Big Data has been coin to submit to the gargantuan largeness of data that cannot be dealt with by traditional data-handling techniques. Big Data is still a novel concept and in the following literature we determined to elaborate it in a conspicuous fashion. It commences with the concept of the subject itself along with its properties and the two general approaches of dealing with it. The comprehensive study further goes on to elucidate the applications of Big Data in all diverse aspects of economy and being. The exploitation of Big Data Analytics after integrating it with digital capabilities to secure business growth and its visualization to make it understandable to the technically apprenticed business analyzers has been discussed in depth. Aside this, the incorporation of Big Data in order to improve population health for the betterment of finance, telecom industry, food industry and for fraud detection and sentiment analysis have been delineated. The challenges that are encumbering the growth of Big Data Analytics are accounted for in depth in the paper. This topic has been isolate into two arenas- one being the practical challenges faces whilst and other being the theoretical challenges. The hurdle of securing the data and democratizing it have been elaborated amongst several others such as inability in finding sound data professionals in required amounts and software that possess ability to process data at a high rate. Through the article, the authors intend to decode the notions in an intelligible manner embodying in text several use-cases and illustrations
Reference :
-
- Ruchi Verma, Sathyan Ramakrishna Mani, ―Using Analyrtics for PIG Tutorial YahooInc., http://developer.yahoo.com/hadoop/tutorial/pigtutorial.html
- IBM-What.is.Jaql, http://www.ibm.com /software /data /infosphere /hadoop /jaql /
- Dryad - Microsoft Research, http://research.microsoft.com/en-us/projects/dryad/
- SAS, The power to know, ―Five Big Data Challenges And how to overcome them with visual analytics
- http://www.forbes.com /sites /gartnergroup /2013 /03 /27/ gartners-big-data-definition-consists-of-three-parts-not-tobe-confused-with-three-vs/
- http://www.internetlivestats.com /google-search-statistics
- http://www.internetlivestats.com /twitter-statistics /
- http://lsst.org /lsst /google
- http://www.forbes.com /sites /bernardmarr /2015 /04 /21/how-big-data-is-changing-healthcare/