Real-Time Based Big Data and E-Learning: A Survey and Open Research Issues | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 17, Volume 15, Issue 2, December 2021, Pages 225-243 PDF (617.47 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2021.170044 | ||
| Authors | ||
| Wael W. Hadeed1; Dhuha Basheer Abdullah2 | ||
| 1Department of Computer Science, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq | ||
| 2College of Computer Sciences and Mathematics University of Mosul, Iraq | ||
| Abstract | ||
| Big data is considered a remarkable aspect of development communication and information systems. In terms of delivery, retrieval, and storage, a vast volume of complex data exceeds the capability of conventional software and device capabilities. As a result, advanced alternative solutions that allow their control flow is becoming more prevalent. One of the most difficult fields of information management and technology is the real-time management, analysis, and processing of big data. These issues can be seen in a large amount of everyday produced data in a variety of places, including online social networks and the method of logging cell phone data. This survey looks at several studies that use a range of methods to handle, interpret, and process big data in real-time. Hence, the objective of this survey is to provide a comprehensive overview of the integration between real-time and big data fields of study with the field of E-learning. Finally, this survey also presents the colorful aspects of big data and their relationship to E-learning domains such that e-learning platforms, big data frameworks, and datasets used. | ||
| Keywords | ||
| Real-Time processing; Big Data; Data analytics; E-Learning; Big Data Platform | ||
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