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  Published Paper Details:

  Paper Title

BIG DATA ANALYTICS ARCHITECTURE FOR SMART CITIES AND SMART COMPANIES

  Authors

  Shanet Sabu,  Minla K.S

  Keywords

Big Data, Internet of Things, Smart City, Smart Company, Data Analytics, Emerging Technologies, Decision Making

  Abstract


Today mobile internet, social media and internet of things have a broader application predominance, that paved the way for the age of big data. Digitization has won prominent parts of people's way of life. Both people and government are more inquisitive about Smart City trends or Smart Companies to attain greater sustainability and better norm of living. This research is an endeavor to discuss those big data applications are highly beneficial for implementation of smart cities as they impart ample opportunities but even have multihued challenges and problems. Smart cities are well known for the human dynamics within which we are connected by devices called the Internet of Things. Big Data Analytics aids in decision making from both Smart City intelligence or smart business domain. This research article is about framework of big in smart cities or smart companies with a composite of urbanization and Computerization and furthermore discusses the requirements, challenges of how big data analysis is utilized for decision making.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2106799

  Paper ID - 209398

  Page Number(s) - g636-g643

  Pubished in - Volume 9 | Issue 6 | June 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Shanet Sabu,  Minla K.S,   "BIG DATA ANALYTICS ARCHITECTURE FOR SMART CITIES AND SMART COMPANIES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 6, pp.g636-g643, June 2021, Available at :http://www.ijcrt.org/papers/IJCRT2106799.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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