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Column Database Data Modeling

by | Dec 1, 2023 | Posted Questions

Research
Paper Topics

1- Column Database Data Modeling

Each student is required to write a 10-15 page
research paper on a topic related to the course content. It is important to
remember that there is a significant difference between a research paper and a
report. A research paper involves researching a topic and using the research to
derive a conclusion. It must show effort and insight.

Provide a 10 to 12 slide presentation of your
Research Paper.

·
Introduction Slide

·
Describe the problem/topic

·
Importance of Topic

·
Content (5 Slides)

·
Lessons Learned

·
Conclusion

Specifications:

The paper should be 10-15 pages in
length, not including figures, tables, or references.

Organization:

The paper should be organized in a format that
could be submitted to a journal for presentation. It should include an
abstract, key words, the body, and the bibliography. At least three references
from peer-reviewed journals (e.g., IEEE, ACM, available from the UMUC Library)
are required. The title, your name, and page number should be at the top of
each page. Do not include a title page or table of contents.

Format:

One inch margins (top, bottom, sides); Times
New Roman or Arial12 point font; Double spaced; Running head with title, name,
and page numbers

The objective of the paper is to
“research” the topic. It is not to do a design.

Note:

·
The format for the paragraph reference is (author_last_name,
date_of_article). For articles sourced from the web, the format for the
reference must be in accordance with APA format.

·
Each reference must appear in the bibliography at the end.

·
The bibliography should be listed in alphabetical order.

·
References that were not used in the text of the paper should
not be in the bibliography.

·
Do not use more than 5 words directly from a source without
quotation marks to avoid plagiarism.

Criteria for Paper Grade:

1.
Compliance with APA format

2.
Original work for this class

3.
Creativity

4.
Analysis of technical material

5.
Writing ability

6.
Mastery of data modeling concepts

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