As large volumes of raw and complex data, Big data enables programmers to take better decisions and optimize business processes by understanding customer behavior, latest trends, and changing patterns. An enterprise can collect, store, and analyze these large datasets in a number of ways. An enterprise can even use robust big data tools to store, access, and manage the structured and unstructured data collected from various sources in a faster and more efficient way. But no business can utilize and leverage big data optimally without addressing a number of challenges.
Big data challenges are numerous: Big data projects have become a normal part of doing business — but that doesn’t mean that big data is easy. The most obvious challenge associated with big data is simply storing and analyzing all that information. In its Digital Universe report, IDC estimates that the amount of information stored in the world’s IT systems is doubling about every two years. By 2020, the total amount will be enough to fill a stack of tablets that reaches from the earth to the moon 6.6 times. And enterprises have responsibility or liability for about 85 percent of that information. Much of that data is unstructured, meaning that it doesn’t reside in a database. Documents, photos, audio, videos and other unstructured data can be difficult to search and analyze.
In order for organizations to capitalize on the opportunities offered by big data, they are going to have to do some things differently. And that sort of change can be tremendously difficult for large organizations.
While this weeks topic highlighted the uncertainty of Big Data, the author identified the following as areas for future research. Pick one of the following for your Research paper.:
Additional study must be performed on the interactions between each big data characteristic, as they do not exist separately but naturally interact in the real world.
The scalability and efficacy of existing analytics techniques being applied to big data must be empirically examined.
New techniques and algorithms must be developed in ML and NLP to handle the real-time needs for decisions made based on enormous amounts of data.
More work is necessary on how to efficiently model uncertainty in ML and NLP, as well as how to represent uncertainty resulting from big data analytics.
Since the CI algorithms are able to find an approximate solution within a reasonable time, they have been used to tackle ML problems and uncertainty challenges in data analytics and process in recent years.
Read the required reading
Complete the Research Paper
Your paper should meet the following requirements:
• Be approximately 5 pages in length, not including the required cover page and reference page.
• Follow APA guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
• Support your response with the readings from the course and at least five peer-reviewed articles or scholarly journals to support your positions, claims, and observations. The UC Library is a great place to find resources.
• Be clear with well-written, concise, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.
Per template, the following information should be included within the paper (see above template):
Your Full Name
Institutional or company affiliation(s)
The paper should be about 2 to 5 pages long, single-spaced, APA-style citations and references. [Paper should not exceed ten (10) pages, including all appendices. However, most papers are two (2) to five (5) pages, using the font and margin settings specified in the template.
All pages are to be U.S. letter-size (8.5″ x 11″). Do not alter the given margins and font settings on the template.
Any tables or figures that exceed the given width of the columns should be included in an appendix.
Appendices may be formatted in any way you deem necessary, with the exception that all pages must adhere to the standard page margins on an 8.5″ x 11″ page template. Any rotated pages in landscape orientation in the appendices should be rotated ninety (90) degrees to the left (commonly referred to as “counter-clockwise” or “anti-clockwise” rotation).
References should be listed alphabetically at the end of the paper according to APA style Parentheses should be used within the body of the paper to offset citations. [Clarification: Parentheses should be used within the body of the paper to offset citations. Articles must cite a minimum of five scholarly (peer-reviewed) sources but 10 or 15 references are recommended. These must be cited in-text (parenthetical citation) and be accompanied by a full citation in the reference list. In general, we consider a source to be scholarly if it is published in an edited book, a peer reviewed publication, an academic journal, or by a university press. Citing multiple works by the same author(s) or web-links (URLs) only qualifies as meeting one of the required five.]
Paper should be submitted (uploaded) as one single file. The file must be in Microsoft Word .DOC, or Microsoft Word .DOCX. Limit figures to either JPG or GIF format for this purpose when embedding the image within the document’s pages. Like text, all figures or table or graph should be original (i.e., created by you).
Advise: Start with an Introduction—which is a very important section of any scholarly paper that tell the reader what is expected in the rest of the paper.
It is the “road map …
establish the context, background and/or importance of the topic
indicate an issue, problem, or controversy in the field of study
define the topic or key terms
brief overview of existing literature review
state of the purpose of the study for this article
provide an overview of the coverage and/or structure of the writing
Advise: Pitch your research question earlier in the paper under the Introduction section to get the attention of your reader. You should not pitch it like in the middle or under your problem section. Under this problem statement- formulate specific sub research questions link to your main research question.
In the main body of the paper, conduct a literature review. And briefly discuss what are the “gaps” (i.e., since technology is accelerating – remember Friedman) in the research literature. Answer the research questions.
This is where your Evidence, Analysis and Solutions are detailed and explained.
Of course, please do not use first person “WE” or “I” (first person), since this is not a good academically manner to formulate questions.
Develop your one tables, figures, frameworks and models, rather than borrowing from the Internet.
Ideally, the paper should show some empirical evidence (i.e., surveys), although you could write a more conceptual paper.
If it is going to be a conceptual paper, then state it upfront for the reader by providing the context as a conceptual paper. In a conceptual paper, you may use a scoping review (Links to an external site.)Links to an external site. as research protocol for the design of the paper.
On the other hand, your paper could be written as an empirical paper … and the research question and purpose of the paper will bring out the empirical part of the paper.
Finally, the conclusion is shouldn’t be cluttered with too many issues. In an academic paper, it should be aligned to the Introduction. It is a very important section of any scholarly paper that tell the reader what emerged from the findings and what implications or further research is needed. Further whether the paper contributed to theory, practice of policy.
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