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Technologies for Handling Big Data

Technologies for Handling Big Data

Rashmi Agrawal
Copyright: © 2020 |Pages: 16
ISBN13: 9781799801061|ISBN10: 1799801063|ISBN13 Softcover: 9781799815655|EISBN13: 9781799801078
DOI: 10.4018/978-1-7998-0106-1.ch003
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MLA

Agrawal, Rashmi. "Technologies for Handling Big Data." Handbook of Research on Big Data Clustering and Machine Learning, edited by Fausto Pedro Garcia Marquez, IGI Global, 2020, pp. 34-49. https://doi.org/10.4018/978-1-7998-0106-1.ch003

APA

Agrawal, R. (2020). Technologies for Handling Big Data. In F. Garcia Marquez (Ed.), Handbook of Research on Big Data Clustering and Machine Learning (pp. 34-49). IGI Global. https://doi.org/10.4018/978-1-7998-0106-1.ch003

Chicago

Agrawal, Rashmi. "Technologies for Handling Big Data." In Handbook of Research on Big Data Clustering and Machine Learning, edited by Fausto Pedro Garcia Marquez, 34-49. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-0106-1.ch003

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Abstract

In today's world, every time we connect phone to internet, pass through a CCTV camera, order pizza online, or even pay with credit card to buy some clothes, we generate data and that “ocean of data” is popularly known as big data. The amount of data that's being created and stored on a universal level is almost inconceivable, and it just keeps growing. The amount of data we create is doubled every year. Big data is a critical concept that integrates all kinds of data and plays an important role for strategic intelligence for any modern company. The importance of big data doesn't revolve around how much data you have, but what you do with it. Big data is now the key for competition and growth for new startups, medium, and big enterprises. Scientific research is now on boom using big data. For the astronomers, Sloan Digital Sky Survey has become a central resource. Big data has the potential to revolutionize research and education as well. The aim of this chapter is to discuss the technologies that are pertinent and essential for big data.

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