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2020 | OriginalPaper | Chapter

Recent Dimensions of Data Science: A Survey

Authors : Sinkon Nayak, Mahendra Kumar Gourisaria, Manjusha Pandey, Siddharth Swarup Rautaray

Published in: Advances in Data and Information Sciences

Publisher: Springer Singapore

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Abstract

Nowadays, huge amount of data has been generated and collected in every instance of time. So to analyze them is the toughest task to do. Data are generated and collected in a huge amount from unlike sources such as social media, business transactions, public data, etc. This greater amount of data may be structured, semi-structured, and unstructured one. The data in which analysis is to be performed these days are not only of massive amount but also varies each other by its types, at which speed it is generated and by its value and also varies by different characteristics which is termed as big data. So to examine this vast amount of data and get the relevant information from it, analysis should be done and to analyze this huge amount of data is a greater challenge these days. So to analyze these vast amount of data we need the help of several data analytics tools and methods so that it will be easier to deal with it. This survey paper talks about different tools and techniques used for big data analytics. This survey paper tries to provide a clear idea about the genesis of big data, features of big data, and different tools and techniques used to analyze these huge collections of data.

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Metadata
Title
Recent Dimensions of Data Science: A Survey
Authors
Sinkon Nayak
Mahendra Kumar Gourisaria
Manjusha Pandey
Siddharth Swarup Rautaray
Copyright Year
2020
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-0694-9_44