Annotated Bibliography for Research Paper

Annotated Bibliography for Research Paper

(Advance Residency Assignment assigned week prior to Residency)

Purpose: You will used these articles for your individual residency paper.

Provide an annotated bibliography listing at least three different authoritative, outside references suitable for use in the residency research paper. The research articles should address the same emerging trend in data analytics and business intelligence and how the trend is being applied in organizations currently .

Articles you decide to include in for your annotated bibliograph work should be substantive, peer reviewed, come from the full-text University of Cumberlands library (so you can download it) 8-10 pages long, less than FIVE years old, and the subject matter must also be in your text. Articles that are short, do not provide enough substance to be able to use for RESIDENCY project. So the articles you seek out in this research and submit need to be 8-10 pages to have enough substance for you to be able to complete your Residency Paper (details on that will be released towards our residency date).
The content of each annotated bibliography entry should be a solid 2 paragraphs long minimum. A title page should accompany the Annotated Bibliography followed by the entries. An example of one entry for annotated bibliography is below.

The three different sources must come from different Academic Journals. Submit your annotated bibliography as a Word document. Also, you need to acquire full text or pdf copies of all articles and submit them with the annotated bibliography. You will submit the annotated bibliography along with the 3 full text articles in the same submission area link with your annotated bibliography submitted first using the same submission link located in this module. You click the link above next to the icon of the assignment to submit your work (upper left).

You no longer need to submit it to the group repository. These Residency assignment has changed to an individual assignment. These articles will be used for your own residency paper.

The Annotated Bibliography is with 100 points. All are submitted to this link as different documents with the Annotate Bibliography submitted first.

If you have any questions, please contact me EARLY in the week. Make sure you have read the examples I have provided. I can’t say enough that this assignments is quite important and you should put a lot of effort into it as well as follow my instructions above carefully. Doing so will set you up for success at RESIDENCY.
Example:( below is the annotated bibliography to an article, then you would continue with the next article you chose, culminating in three entries on the annotated bibliography with the 3 full text articles the annotated bibliography refers to)

Kambatla, K., Kollias, G., Kumar, V., & Grama, A. (2014). Trends In Big Data Analytics. Journal of Parallel and Distributed Computing, 74(7), 2561-2573.

According to Kambatla et al in their Journal of Parallel and Distributed Computing, there are emergent trends in big data analytics which are interesting and worthy of consideration even as we embrace the In-Memory Data Analytics. The authors point out that data analysis is s task that is not confined in fixed deadlines but is more focused on data quality. The quality data has to be in line with the storage systems that the organization chooses, and the In-Memory Data Analytics is by far the most recommended storage option in the market. It works perfectly in Multi-tenancy environments and data-centric areas. Moreover, Kambatla et al point out to the reader that using the in-memory data analytics to store information is a sure step in the process of ensuring there is better performance through the introduction of clustered computing frameworks and the large-scale data analytics tools.

Then you would add another paragraph of how this is being applied in business to describing how the technology specifically relates with an example.

What Students Are Saying About Us

.......... Customer ID: 12*** | Rating: ⭐⭐⭐⭐⭐
"Honestly, I was afraid to send my paper to you, but splendidwritings.com proved they are a trustworthy service. My essay was done in less than a day, and I received a brilliant piece. I didn’t even believe it was my essay at first 🙂 Great job, thank you!"

.......... Customer ID: 14***| Rating: ⭐⭐⭐⭐⭐
"The company has some nice prices and good content. I ordered a term paper here and got a very good one. I'll keep ordering from this website."

"Order a Custom Paper on Similar Assignment! No Plagiarism! Enjoy 20% Discount"