Internet of Things Technologies for HealthCare. Third International Conference, HealthyIoT 2016, Västerås, Sweden, October 18-19, 2016, Revised Selected Papers

Research Article

Ins and Outs of Big Data: A Review

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  • @INPROCEEDINGS{10.1007/978-3-319-51234-1_7,
        author={Hamidur Rahman and Shahina Begum and Mobyen Ahmed},
        title={Ins and Outs of Big Data: A Review},
        proceedings={Internet of Things Technologies for HealthCare. Third International Conference, HealthyIoT 2016, V\aa{}ster\ae{}s, Sweden, October 18-19, 2016, Revised Selected Papers},
        proceedings_a={HEALTHYIOT},
        year={2017},
        month={1},
        keywords={Big data issue Framework Analytics Challenges Tools},
        doi={10.1007/978-3-319-51234-1_7}
    }
    
  • Hamidur Rahman
    Shahina Begum
    Mobyen Ahmed
    Year: 2017
    Ins and Outs of Big Data: A Review
    HEALTHYIOT
    Springer
    DOI: 10.1007/978-3-319-51234-1_7
Hamidur Rahman1,*, Shahina Begum1,*, Mobyen Ahmed1,*
  • 1: Mälardalens University
*Contact email: hamidur.rahman@mdh.se, shahina.begum@mdh.se, mobyenuddin.ahmed@mdh.se

Abstract

Today with the fast development of digital technologies and advance communications a gigantic amount of data sets with massive and complex structures called ‘Big data’ is being produced everyday enormously and exponentially. Again, the arrival of social media, advent of smart homes, offices and hospitals are connected as Internet of Things (IoT), this influence also a lot to Big data. According to the study, Big data presents data sets with large magnitude including structured, semi-structured or unstructured data. The study also presents the new technologies for data analyzing, collecting, fast searching, proper sharing, exact storing, speedy transferring, hidden pattern visualization and violations of privacy etc. This paper presents an overview of ins and outs of Big Data where the content, scope, samples, methods, advantages, challenges and privacy of Big data have been discussed. The goal of this article is to provide big data knowledge to the research community for the sake of its many real life applications such as traffic management, driver monitoring, health care in hospitals, meteorology and so on.