INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order to handle and extract value and knowledge from these datasets. Furthermore, decision makers need to be able to gain valuable insights from such varied and rapidly changing data, ranging from daily transactions to customer interactions and social network data. Such value can be provided using big data analytics, which is the application of advanced analytics techniques on big data. This paper aims to analyze some of the different analytics methods and tools which can be applied to big data, as well as the opportunities provided by the application of big data analytics in various decision domains.
Keywords:
big data, data mining, analytics, decision making.
Cite Article:
"Big Data Analytics: A Literature Review Paper", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.144 - 150, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304029.pdf
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000337070
Publication Details:
Published Paper ID: IJSDR2304029
Registration ID:205057
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 144 - 150
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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