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Toward Grasping the Dynamic Concept of Big Data
Author(s) -
Luis Emilio Alvarez-Dionisi
Publication year - 2016
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2016.07.02
Subject(s) - big data , computer science , newspaper , data science , government (linguistics) , big government , online and offline , work (physics) , world wide web , internet privacy , advertising , political science , business , data mining , mechanical engineering , linguistics , philosophy , politics , law , engineering , operating system
The idea of big data represents a growing\udchallenge for companies such as Google, Yahoo, Bing,\udAmazon, eBay, YouTube, LinkedIn, Facebook,\udInstagram, and Twitter. However, the challenge goes\udbeyond private companies, government agencies, and\udmany other organizations. It is actually an alarm clock\udthat is ringing everywhere: newspapers, magazines,\udbooks, research papers, online, offline, it is all over the\udworld and people are worried about it. Its economic\udimpact and consequences are of unproportioned\uddimensions. This research outlines the fundamental\udliterature required to understand the concept of big data.\udAdditionally, the present work provides a conclusion and\udrecommendations for further research on big data. This\udstudy is part of an ongoing research that addresses the\udlink between economic growth and big dat

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