Big Data Analytics Architecture and Challenges, Issues of Big Data Analytics

Abstract

Big Data technologies uses a new generation of technologies and architectures, designed for organizations can extract value from very large volumes of a wide variety of data by enabling high-velocity capture, discovery, and/or analysis. Big data is a massive amount of digital data being collected from various sources that are too large. Big data deals with challenges like complexity, security, risks to privacy. Big data is redefining as data management from extraction, transformation, cleaning and reducing. The size and variety of data lead us to think ahead and develop new and faster methods of mining data which uses the parallel computing capability of processors. The above is known as big data. S. Senthil Kumar | Ms.V.Kirthika"Big Data Analytics Architecture and Challenges, Issues of Big Data Analytics" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd4673.pdf http://www.ijtsrd.com/computer-science/other/4673/big-data-analytics-architecture-and-challenges-issues-of-big-data-analytics/s-senthil-kumar

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  • EP ID EP358328
  • DOI -
  • Views 89
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How To Cite

(2017). Big Data Analytics Architecture and Challenges, Issues of Big Data Analytics. International Journal of Trend in Scientific Research and Development, 1(6), -. https://europub.co.uk/articles/-A-358328