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An Analysis of Big Data Analytics

An Analysis of Big Data Analytics

Vijander Singh, Amit Kumar Bairwa, Deepak Sinwar
Copyright: © 2022 |Pages: 23
ISBN13: 9781668436622|ISBN10: 1668436620|EISBN13: 9781668436639
DOI: 10.4018/978-1-6684-3662-2.ch054
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MLA

Singh, Vijander, et al. "An Analysis of Big Data Analytics." Research Anthology on Big Data Analytics, Architectures, and Applications, edited by Information Resources Management Association, IGI Global, 2022, pp. 1126-1148. https://doi.org/10.4018/978-1-6684-3662-2.ch054

APA

Singh, V., Bairwa, A. K., & Sinwar, D. (2022). An Analysis of Big Data Analytics. In I. Management Association (Ed.), Research Anthology on Big Data Analytics, Architectures, and Applications (pp. 1126-1148). IGI Global. https://doi.org/10.4018/978-1-6684-3662-2.ch054

Chicago

Singh, Vijander, Amit Kumar Bairwa, and Deepak Sinwar. "An Analysis of Big Data Analytics." In Research Anthology on Big Data Analytics, Architectures, and Applications, edited by Information Resources Management Association, 1126-1148. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-3662-2.ch054

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Abstract

In the development of the advanced world, information has been created each second in numerous regions like astronomy, social locales, medical fields, transportation, web-based business, logical research, horticulture, video, and sound download. As per an overview, in 60 seconds, 600+ new clients on YouTube and 7 billion queries are executed on Google. In this way, we can say that the immense measure of organized, unstructured, and semi-organized information are produced each second around the cyber world, which should be managed efficiently. Big data conveys properties such as unpredictability, 'V' factor, multivariable information, and it must be put away, recovered, and dispersed. Logical arranged data may work as information in the field of digital world. In the past century, the sources of data as to size were very limited and could be managed using pen and paper. The next generation of data generation tools include Microsoft Excel, Access, and database tools like SQL, MySQL, and DB2.

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