For the researcher, cloud computing in education is a brand-new topic of study. Technology is developing quickly. For both instructors and kids, being digital savvy is crucial. It is crucial for all students, not only those studying engineering (such as those interested in science, the arts, or commerce). Work in the lab is a requirement for engineering students. In laboratory work, they must manage several data kinds. Working with many sorts of data is crucial, especially for computer science and engineering students (CSE). Although CSE uses a variety of data and tools, for instance, researchers in the bioinformatics section work with DNA, RNA, protein, and other types of data, while researchers in the graph theory section work with a variety of real and simulated network data, and researchers in the image processing section work with a variety of image data. As a result, different types of data are used depending on the part. Nonetheless, they all employ the same kinds of techniques, such as data mining, data manipulation, and data aggression. On the other hand, certain sections may employ hybrid types of data, such as graph theory researchers who may use DNA data for graph colouring or bioinformatics researchers who may use picture data. These sections are also connected to other study areas in the CSE field in some way. In this article, we suggest a brand-new and ground-breaking method for utilising cloud data as a research tool within different CSE department study sections.
Cloud Computing; Information Technology; Education Chain; Data Integration; Internet Security; Dead lock
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