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A study on big data analytics: platforms and tools, challenges, technologies and key applications

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dc.contributor.author Fathima Sihnas Fanoon, Abdul Raheem
dc.contributor.author Isuri Uwanthika, Gatamanna Arachchige
dc.date.accessioned 2021-04-01T09:29:47Z
dc.date.available 2021-04-01T09:29:47Z
dc.date.issued 2020-09-18
dc.identifier.citation Journal of Information Systems & Information Technology Vol. 5 No.2, 2020 pp. 9-18. en_US
dc.identifier.issn 24780677
dc.identifier.uri http://ir.lib.seu.ac.lk/handle/123456789/5429
dc.description.abstract Big data is the paradigm that refers to the data generated not only in terabytes, but in hexabytes and more. Big data has gained an enormous success in numerous application areas including social media, economy, finance, healthcare, agriculture, and many more. Now a days, data are being produced at lighting speed. Data produced in many media are either structured, unstructured or semi-structured, using which the researchers could find the unknown pattern behind these datasets. Big Data is one of the most important applications in parallel and distributed systems. Processes related to analysis are often carried out with a deadline and during the process, it is vital for analytics also to concern about the quality of the data. This paper highlights few platform and tools used in the data analytics process. Further, it explains about the several challenges faced in big data analytics. Data representation, data management, data confidentiality and few other are found to be the major challenges in big data analytics. Also, the paper aims to study the technologies applied for big data analysis in the fields of cloud computing, Internet of Things and Hadoop. Finally, the paper reviews on the key application areas of big data analytics by researchers. en_US
dc.language.iso en_US en_US
dc.publisher Faculty of Management and Commerce South Eastern University of Sri Lanka en_US
dc.subject Big Data en_US
dc.subject Cloud Computing en_US
dc.subject Hadoop en_US
dc.subject Internet of Things en_US
dc.title A study on big data analytics: platforms and tools, challenges, technologies and key applications en_US
dc.type Article en_US


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