Big Data Essays and Research Papers

Instructions for Big Data College Essay Examples

Title: Big Data on Online Shopping

  • Total Pages: 5
  • Words: 1626
  • References:5
  • Citation Style: APA
  • Document Type: Essay
Essay Instructions: ADDITIONAL TO THE PAPER YOU WROTE BEFORE. The one you wrote was a summary outline for the final paper. Therefore do not combine them please. Write from start by referring to the outline given. Can you engage by asking questions in the essay and give lot of data concerned examples. THANK YOU.

Write how Big Data has impacted online shopping / shopping for a deal-bargen.

Simply explain the ways in which big data has had a direct or indirect impact on your chosen area.

Outline / Consumer Research

The Data Consumer is now more aware than ever of the tactics marketers and brands are using to collect their data. The more data they have on individual consumers, the more sophisticated their marketing tactics, leading to highly personalized marketing where companies understand your likes, dislikes, behaviors, spending habits, etc.

Potential areas of focus:
- Consumer perceptions of data-driven marketing
- Analyze how major brands like Target are using Big Data to draw insights from consumers
- Big Data and Analytics, which companies are using rich data to turn consumer insights into commercial success.

Example Resources That Can Be Helpful:
- McKinsey & Company http://www.mckinsey.com/
- emarketer.com advertising and marketing trends and technology

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Title: Big Data Annotated Bibliography

  • Total Pages: 4
  • Words: 1473
  • Works Cited:0
  • Citation Style: MLA
  • Document Type: Research Paper
Essay Instructions: Please complete Annotated Bibliography for the following eight (8) references, please see instructions and examples, attached:

Bayuk, J. L. (2010). CyberForensics: Understanding information security investigations. New York: Humana Press.

Cohen, J., Dolan, B., & Dunlap, M. (2009). MAD skills: new analysis practices for big data. In Proceedings of the VLDB ’09 (pp. 1481??"1492). Retrieved from http://dl.acm.org/citation.cfm?id=1687576

Chawla, N. V, & Davis, D. A. (2013). Bringing big data to personalized healthcare: a patient-centered framework. Journal of General Internal Medicine, 28 Suppl 3, S660??"5. doi:10.1007/s11606-013-2455-8

Grove, R. F. (2010). Web-based application development. Sudbury, Mass: Jones and Bartlett Publishers.

Herodotou, H., Lim, H., Luo, G., Borisov, N., Dong, L., Cetin, F. B., & Babu, S. (2011). Starfish: A self-tuning system for big data analytics. In CIDR (pp. 261??"272). Retrieved from http://x86.cs.duke.edu/~gang/documents/CIDR11_Paper36.pdf

Tehan, R. (2008). Data security breaches: Context and incident summaries. New York: Novinkna Books.

Peitz, M., & Waldfogel, J. (2012). The Oxford handbook of the digital economy. New York: Oxford University Press.

Zaslavsky, A., Perera, C., & Georgakopoulos, D. (2013). Sensing as a service and big data. In arXiv preprint arXiv: Proc. of International Conference on Advances in Cloud Computing. Retrieved from http://arxiv.org/abs/1301.0159

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Title: Relational Databases Critical essay on SQL and big data

  • Total Pages: 4
  • Words: 1338
  • Bibliography:12
  • Citation Style: Harvard
  • Document Type: Essay
Essay Instructions: Module: Fundamentals of Relational Databases

ESSAY QUESTION
__________________

Write a CRITICAL essay on suitability, challenges and opportunities in using relational databases and SQL for processing 'big data'.

Good academic writing skills are assumed, in particular adequate references to all your sources. The guideline length is 1,000-1,500 words.


Harvard Referencing


(Can you ensure the language, grammar and technical knowledge used throughout the critical essay is to the highest standard 70%+ (First Class). I would like an ENGLISH Writer please

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Title: big data

  • Total Pages: 5
  • Words: 1643
  • Sources:0
  • Citation Style: MLA
  • Document Type: Research Paper
Essay Instructions: Chen, H., Chiang, R. & Storey, V. (2012). Business intelligence and analytics: From big data to big impact. MIS Quarterly. Vol. 36 (4) 1165-1188.

Cohen, J., Dolan, B., Dunlap, M., Hellerstein, J. & Welton, C. (2009) MAD skills: New analysis practices for big data. VLDB '09. August 24-28, 2009, Lyon, France.

Zaslavsky, A., Perera, C. & Georgakopoulos, D. (no date). Sensing as a service and big data. CSIRO. In possession of the author.

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