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Practical connection with Big data and data science/Emerging Threats & Countermeas Required On Demand Writing Assignment for Practical Connect Assig

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Practical connection with Big data and data science/Emerging Threats & Countermeas
Required On Demand Writing Assignment for Practical Connect Assignment due at 2:30pm (EDT) At UC, it is a priority that students are provided with strong educational programs and courses that allow them to be servant-leaders in their disciplines and communities, linking research with practice and knowledge with ethical decision-making.
This assignment is a written assignment where students will demonstrate how this course research has connected and put into practice within their own career. Assignment: Provide a reflection of at least 500 words (or 2 pages double spaced) of how the knowledge, skills, or theories of this course have been applied, or could be applied, in a practical manner to your current work environment. If you are not currently working, share times when you have or could observe these theories and knowledge could be applied to an employment opportunity in your field of study.
Requirements: Provide a 500 word (or 2 pages double spaced) minimum reflection. Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited. Share a personal connection that identifies specific knowledge and theories from this course.
Demonstrate a connection to your current work environment. If you are not employed, demonstrate a connection to your desired work environment. You should NOT, provide an overview of the assignments assigned in the course. The assignment asks that you reflect how the knowledge and skills obtained through meeting course objectives were applied or could be applied in the workplace. Submission: Upload/attach your completed paper to this assignment by April 18st @ 2:30pm EDT to your Main term course.

Residency Make-Up Session Assignment ITS836

Course ITS836 Data Science and Big Data Analytics
Deliverable Conduct a literature review in Data Science and Big Data Analytics

Conduct a literature review on the issue of Data Science and Big Data Analytics, and
how companies are handling the complexity of handling the vast amounts of data
they collect and have to safeguard. Discuss problems that companies are experiencing
and what research has been done to manage and understand information from their
data, while trying to minimize damage from data disclosure.

You are to review the literature on Enterprise Data Science and Big Data Analytics and
discuss problems and gaps that have been identified in the literature. You will expand
on the issue and how researchers have attempted to examine that issue by collecting
data you are NOT collecting data, just reporting on how researchers did their
collection.

As you read the literature, it will become apparent that there are multiple issues, pick
one issue that stands out in the literature.

Format Cover:
Include the names of those who participated in the project

Table of contents:
Use a Microsoft Enabled Table of Contents feature.

Background:
Describe the issue, discuss the problem, and elaborate on any previous attempts to
examine that issue.

Research Questions:
In your identified problem area that you are discussing, what were the research
questions that were asked?

Methodology:
What approach did the researcher use, qualitative, quantitative, survey, case study?
Describe the population that was chosen.

Data Analysis:
What were some of the findings, for example, if there were any hypotheses asked,
were they supported?

Conclusions:
What was the conclusion of any data collections, e.g., were research questions
answered, were hypotheses supported?

Discussion:

Here you can expand on the research and what the big picture means, how do the
results found in your literature review help organizations with the problems of
handling, managing and safeguarding all this data. What do you see as long-term
impacts and what further research could be done in the field?

References:
Include at least ten scholarly references in APA format.

Sunday
PowerPoint
Presentation

Your presentation will have a slide that addresses each

o Cover

o Topic

o Background of the problem

o Research Questions (if any)

o Methodology

o Data Analysis

o Conclusion

o Discussion

o References

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