The Evolution, Ubiquity and Prognoses (EUP) of Big Data: A Thematic Perspective.

by Bongs Lainjo

 

BIG DATA PAPER PROPOSAL

REQUIREMENTS:

  1. Comprehensive and detailed quote required.
  2. If modifying the draft chapters below enhances a better understanding of the paper, both parties can discuss the details.
  3. Compelling suggestions are also welcome.
  4. An updated CV, two references and one sample project document, are required.
  5. Sub-chapters by researcher are required. That would establish the level of understanding of the title, sub-title and objective and my expectations. Number of pages per each chapter will need to be included. This is a VERY CRITICAL ELEMENT of the project.
  6. Flat Rate (ball park) Unit and total fees are required. Example, hourly, daily rate etc. should include anticipated length of time. Payment schedule is also required.
  7. The reference style will either be APA or Harvard style.
  8. Index section that would likely be revised after setting will be required.
  9. A written contract by both parties is required. A draft will be reviewed and agreed on by both parties.
  10. Assiduity is of prime importance and proposed TIMELINE would be followed very closely.
  11. When deemed necessary, I’ll initiate (at my expense) all phone calls and researcher is welcome to request them at any time.
  12. I’m also open to texting as a quick means of addressing some issues.
  13. If the literature review exercise provides inadequate outcomes, the project will prematurely end.

 

 

 

NOTE: IMPLEMENTAION WILL BE DONE IN PHASES – Phase one

Is the literature review; phase two is the abstract and phase three would be

The full paper of about 6K words.

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DRAFT OUTLINE

TITLE: Evolution, Ubiquity and Prognoses (EUP) of Big Data: A Thematic Perspective. (6000 Words)

THESIS: How Big Data and Cloud have Thematically Transformed Information Technology

AUDIENCE: Users of Social Media to Public, Private and Academic Institutions

GENERAL OBJECTIVE: To strengthen motivated readers’ knowledge of big data dynamics, power, and limitations with latest developments and the enhancement of research initiatives.

  1. LITERATURE REVIEW  AND ABSTRACT (Style: Harvard, Font/Size – NT, 10 Pci)

1a. Literature Review : Five Pages – Analytical and logical, Using Title, Thesis,Audience, Objective and Outline.

Ib. ABSTRACT (One Page: OUTLINE: Introduction, Settings, Methodology, Findings, Discussion, Conclusion)

 

Ic.  CONTEXTUAL OUTLOOK

  1. GENERAL THEMES
  2. PERSONAL
  3. INSTITUTIONS Needs to be expanded):
  4. Health;
  5. Business (Financial Institutions, Manufacturing etc.)
  6. Aviation
  7. Science and Technology
  8. Research
  9. Education
  10. Media (mainstream & Social), Arts, Entertainment, Sports etc.

(NOTE: Sub Chapters Required from III to  X)

I.  CLOUD COMPUTING and BIG DATA

Ia. SECURITY: HACKING TRENDS AND BIG DATA

IIa. SPECIFIC THEMES AND SCOPE

III. GLOBAL THEMATIC REVIEW

IIIa. REAL LIFE CASE STUDIES

  1. REGIONAL (N. America, S. America, Europe, Asia, Africa) THEMATIC REVIEW

Iva. REAL LIFE CASE STUDIES

  1. THEMATIC RETROSPECTIVE (2006-2016) GLOBAL META DATA REVIEW (EUP) OF BIG DATA

Va. REAL LIFE CASE STUDIES

  1. THEMATIC RETROSPECTIVE REGIONAL META DATA REVIEW (EUP) OF BIG DATA

Via. REAL LIFE CASE STUDIES

VII. THEMATIC RETROSPECTIVE GLOBAL META DATA ANALYSIS

VIII. THEMATIC RETROSPECTIVE REGIONAL META DATA ANALYSIS OF BIG DATA

VIIIa. REAL LIFE CASE STUDIES

  1. GLOBAL THEMATIC META DATA PROGNOSES OF BIG DATA

IXa. REAL LIFE CASE STUDIES

  1. REGIONAL THEMATIC META DATA PROGNOSES OF BIG DATA

Xa. REAL LIFE CASE STUDIES

Xa. FINDINGS

  1. DISCUSSION

XII. CONCLUSSION

 

 

 

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