Big Data and Cloud Computing Opportunities and Application Areas

Authors

  • Aws I. Abueid Faculty of Computing Studies, Arab Open University, Jordan \
Volume: 14 | Issue: 3 | Pages: 14509-14516 | June 2024 | https://doi.org/10.48084/etasr.7339

Abstract

The exponential growth of digital data has created new challenges and opportunities to process, store, and analyze large datasets. Cloud computing has transformed the way businesses manage their IT infrastructure by providing a scalable and cost-effective platform for data storage and processing. Because of this, businesses now have access to new opportunities to exploit big data and thus acquire insights into the behavior of their customers, increase the efficiency of their operations, and drive innovation. Furthermore, big data analysis enables the exploration of links between a set of independent data, revealing many aspects that enable the prediction of correct decisions that can aid the achievement of desired goals. With this in mind, the purpose of this article is to investigate the ways in which big data analysis can be put to use in fields such as healthcare, presenting specific instances of effective use along the way. The purpose of this study is to provide a comprehensive overview of the opportunities and application areas offered by big data and cloud computing, as well as to highlight the need for businesses and organizations to adopt these technologies to maintain their competitive edge in the digital age. Furthermore, this paper emphasizes the importance of big data analysis in facilitating decision-making and goal achievement, and it encourages businesses and organizations to adopt these technologies to stay competitive in an increasingly data-driven world. It also discusses the ethical, legal, and security issues that arise when dealing with large amounts of data, as well as ways to address these challenges.

Keywords:

Hadoop, analytics, big data, cloud computing, decision-making

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How to Cite

[1]
A. I. Abueid, “Big Data and Cloud Computing Opportunities and Application Areas”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 3, pp. 14509–14516, Jun. 2024.

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