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Big Data – Concepts, Applications, Challenges and Future Scope


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1 Department of Computer Science, Erode Arts and Science College (Self-Finance Wing), Erode – 638 009, India
     

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The term, Big Data ‘has been coined to talk to the large bulk of information that can't be forbidden by ancient data-handling techniques. Massive information continues to be a unique thought, and within the following literature we have a tendency to will elaborate it in a very palpable fashion. It commences with the thought of the topic in itself together with its properties and therefore the 2 general approaches of addressing it. The excellent study more goes on to elucidate the applications of huge information altogether various aspects of economy and being. The employment of huge information Analytics once group action it with digital capabilities to secure business growth and its visualisation to form it graspable to the technically indentured business analyzers has been mentioned exhaustive. Aside this, the incorporation of huge information so as to boost population health, for the betterment of finance, medium trade, food trade and for fraud detection and sentiment analysis are represented. The challenges that square measure impeding the expansion of huge information Analytics square measure accounted for exhaustive within the paper. This subject has been white into 2 arenas- one being the sensible challenges faces while the opposite being the theoretical challenges. The hurdles of securing {the information|the info|the information} and democratizing it are detailed amongst many others like inability to find sound information professionals in needed amounts and software system that possess ability to method data at a high speed. Through the article, the authors will decipher the notions in associate degree intelligible manner embodying in text many use-cases and illustrations.


Keywords

Big Data, 3 V‘s, Sentiment Analysis, Data Visualization, Integration, Data Democratization, Encryption.
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  • Big Data – Concepts, Applications, Challenges and Future Scope

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Authors

M. Nagaraj
Department of Computer Science, Erode Arts and Science College (Self-Finance Wing), Erode – 638 009, India
G. Ruba
Department of Computer Science, Erode Arts and Science College (Self-Finance Wing), Erode – 638 009, India

Abstract


The term, Big Data ‘has been coined to talk to the large bulk of information that can't be forbidden by ancient data-handling techniques. Massive information continues to be a unique thought, and within the following literature we have a tendency to will elaborate it in a very palpable fashion. It commences with the thought of the topic in itself together with its properties and therefore the 2 general approaches of addressing it. The excellent study more goes on to elucidate the applications of huge information altogether various aspects of economy and being. The employment of huge information Analytics once group action it with digital capabilities to secure business growth and its visualisation to form it graspable to the technically indentured business analyzers has been mentioned exhaustive. Aside this, the incorporation of huge information so as to boost population health, for the betterment of finance, medium trade, food trade and for fraud detection and sentiment analysis are represented. The challenges that square measure impeding the expansion of huge information Analytics square measure accounted for exhaustive within the paper. This subject has been white into 2 arenas- one being the sensible challenges faces while the opposite being the theoretical challenges. The hurdles of securing {the information|the info|the information} and democratizing it are detailed amongst many others like inability to find sound information professionals in needed amounts and software system that possess ability to method data at a high speed. Through the article, the authors will decipher the notions in associate degree intelligible manner embodying in text many use-cases and illustrations.


Keywords


Big Data, 3 V‘s, Sentiment Analysis, Data Visualization, Integration, Data Democratization, Encryption.