A Survey on Big Data Analytics: Challenges, Open Research Issues and Tools
Обзор аналитики больших данных: проблемы, открытые исследовательские вопросы и инструменты
2016-01-01
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Internet of Thingsbig data analyticsbig data challengescloud computingopen research issues
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Abstract (AI)
A huge repository of terabytes of data is generated each day from modern information systems and digital technolo-gies such as Internet of Things and cloud computing. Analysis of these massive data requires a lot of efforts at multiple levels to extract knowledge for decision making. Therefore, big data analysis is a current area of research and development. The basic objective of this paper is to explore the potential impact of big data challenges, open research issues, and various tools associated with it. As a result, this article provides a platform to explore big data at numerous stages. Additionally, it opens a new horizon for researchers to develop the solution, based on the challenges and open research issues.
Key Findings
1
By identifying unresolved challenges and research directions, the paper highlights opportunities for developing improved big data analytics solutions.
2
It examines open research issues across multiple stages of big data analysis, from processing massive datasets to extracting knowledge for decision-making.
3
The paper surveys big data analytics challenges arising from massive data generated by IoT, cloud computing, and modern information systems.
4
The survey reviews tools associated with big data analytics and provides a structured platform for exploring their roles.
Research Object
big data analytics
Research Subject
challenges, open research issues, and associated tools across the stages of big data analysis
Publication Details
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2016-01-01
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