Research Paper Presentation
With the information you gathered for your Research Paper, you will now create an intriguing visual presentation and present it to the class.
Presentation should include following slides-
Introduction (1 slide)
literature review (2 slide)
Analysis of the literature (1slide)
Discussion paragraphs 1, 2, 3 (2 slide)
Conclusion (1slide)
Title page and reference list (2 slides)
Your presentation should be between 5-7 minutes long; practice it several times beforehand!Rubric for PowerPoints
Please check off where your PowerPoint is on each criterion in this rubric
and submit it with your assignment
Criteria
Excellent
Not yet excellent
Not yet satisfactory
Few words
per slide,
any art or graphics are relevant, and professional
(slides are a backdrop to what you say, not substituting for what you say)
Few words per slide, and art is relevant and professional
Few words in some slides, or some art is not professional
Most/all slides wordy, or much of the art is not professional
Type size is a minimum of 32 points even in graphics
Font type is the same throughout the presentation
Type size is a minimum of 32 points even in graphics
Font type is the same throughout the presentation
Type size is a minimum of 32 points even in graphics in most slides or font type is the same throughout the presentation in most slides
Type size is a minimum of 32 points even in graphics, in few slides or
font type is the same throughout the presentation in few slides
Bulleted lists are prepared in parallel construction (see your Manual)
Bulleted lists are prepared in parallel construction
Some bulleted lists are prepared in parallel construction
Few bulleted lists are prepared in parallel construction
All slides lead to main point the presenter wants to make
All slides lead to main point the presenter wants to make
Some slides lead to main point the presenter wants to make
Few slides lead to main point the presenter wants to make8
Literature Review on “Measures to Reduce Data Dump in Minimal Time”
Student Name
Department, Institution
Course Title
Instructor Name
Due Date
Introduction
Data dumping is play an integral part of the operations of different entities and their systems. The services that are involved in production and serving customers are majorly impacted by data dumping. It is therefore that this reduce this process for the benefit of all stakeholders. The research problem is established on determining the most effective methods and practices of enhancing data dumping. It integrates a number of literature sources to inform on these strategies. These are key aspects for discussion given the substantial reliance on big data sets. The main components in this paper include data processing and storage frameworks, data protection and preservation. Comparison and contrast of the strategies provides perspective on the appropriate ways of addressing issues to with data dumping. With the continued reliance on transfer of large data amounts from system to system over a networks, it is imperative that parties employ suitable means of addressing data dumping.
Literature Review
The rapid production of working software, close collaboration with customers and quick response to the change in customer requirements requires minimal data dumping time. The three research articles involved methodologies, findings, and solutions for data dumping in the least time possible. Different authors conduct studies, and this literature review will only focus on comparing and contrasting the three important sections. This review is necessary to compare and contrast elements that the methodology, findings, and recommendations include. Therefore, this literature review analyses the three resources to find the significant similarities and differences in each of the three sections.
Munappy et al. (2020) conducted research with a methodology similar to that of Qayyum (2020). Both studies conducted empirical reviews of previous literature concerning how organizations rely on big data. The existing literature was informative about how organizations put big data into use. Qayyum (2020) performed initial research about DataOps in various databases like IEEE Explore, ACM digital library, ScienceDirect, Google Scholar, Web of Science, and Scopus. Also, the third article that Machado et al. (2019) wrote a little earlier also had the same method of research. The authors used secondary sources to understand the integration of resources, mastering data overheads, degradation of performance, and backing up data. The three research articles considered a similar methodology of analyzing several existing resources.
Qayyum (2020) found out that interviewees associated Hadoop with terms like automation, collaboration, and integration. Hadoop is a solution for the ever-growing population of young but exposed generations. At the same time, Machado et al. (2019) found out that DOD
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