Big Data Organization

Term Paper Assignment

Data Systems

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The main purpose of term paper is, as a graduate student, to develop new ideas after understanding knowledge through semester. Data analysis is a field of Database. It is meaningful to actively analyze existing data beyond management or maintenance which is the main purpose of current or previous Database systems. Therefore, there are many prospects that data analysis will broaden the database area. Thus, you have to come up with new ideas to advance Database. If you have a better idea to advance IT or IS, then the topic does not have to be limited to Database.

You need to select topics related Big Data Analysis or Database for term paper homework such as Oracle Database Utilization, Big Data, Big Data Analysis write a report about Oracle database its associativity. Otherwise, you can mix the topics up.

Topic Examples

  • Big Data Analysis Methods
  • Cryptocurrency Prediction with Big Data Analysis
  • Data management on Cognitive Science
  • Big Data and SNS
  • Automatic Data Cleansing from Web or Mobile
  • Normative behavior within group
  • SQL Optimizing in Big Data Era



The contents of the homework can be freely composed, but it needs to show how well your idea can be supported systematically.

Introduction: Main goal in the introduction is to get the reader to keep reading. In other words, you need to focus on attracting your audience with brief descriptions of the broader implications that you will discuss in your concluding paragraphs and how your article will be developed.

Main text: The main body of paper is built around sections representing the aspects of your topic that you find most interesting. Selecting these aspects is subjective, but you need to have enough citations to build each section. Why? Your writing is still subjective. Subjective writing cannot be neither supported or generalized. By referring previous citations, your writing can be objective and supported. Only the exception is statistically analysis conducted by your or your colleagues.

Conclusions: You have to provide a concise review of the MOST interesting and important points that mentioned in the main text. Thus, you address and lay out the handful of main points that you you’re your reader to accept. Pointing why your paper is important to remember these points helps your reader remember with implications.


  1. Introduction
  2. Literature Review on Cryptocurrency
    1. Cryptocurrencies and comparisons
    2. Current Market Volume
    3. Platform for trading Cryptocurrencies
  3. Financial Models
    1. Descriptive Models
    2. Predictive Modeling
    3. Limitation
  4. Proposal to predict price fluctuation of Cryptocurrencies
  5. Conclusion


Format need to meet the following formats, Otherwise, you will get penalty:

  • Double Space between lines.
  • Default margin of document (1″)
  • Default spacing (Normal) and scale (100%) between characters
  • 1 Page cover and 10 Pages including figures, charts, and citations.


In text (by date, then author):

  • g., (Pickett and White 1985, Clobert et al. 2001, Ims and Hjermann 2001, Funk et al. 2005)

In bibliography (alphabetically by author):

  • Journal article

Funk, W. C., A. E. Greene, P. S. Corn, and F. W. Allendorf. 2005. High dispersal in a frog species suggests that it is vulnerable to habitat fragmentation. Biology Letters 1:13-16.

  • Book

Petranka, J. W. 1998. Salamanders of the United States and Canada. Smithsonian Institution Press, Washington, DC.

  • Edited book

Pickett, S., and P. White, editors. 1985. The ecology of natural disturbance and patch dynamics. Academic Press, Orlando.

  • Book section

Ims, R. A., and D. O. Hjermann. 2001. Condition-dependent dispersal. Pages 203-216 in J. Clobert, E. Danchin, A. A. Dhondt, and J. D. Nichols, editors. Dispersal. Oxford University Press, Oxford, UK.


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