Monthly Archives: June 2023

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you need to make some changes in that zip file index. html page and change some style. i will then uplode it on bitbucket with a link of my name which will opens up the site 

 Overview: The term “abstract” is a homophone which can mean one of two scholarly writing activities. One, is the abstract that you will write to introduce your dissertation. The other meaning is a shortened writing assignment whereby you write a condensed summary of an academic journal.  For this week, we will focus on writing a scholarly abstract of a quantitative journal. More information about writing an abstract can be found via the web resource “Writing Scholarly Abstracts.” Since the purpose of this abstract is to summarize, there should not be any direct copying and pasting from the original article. Directions: View the rubric to make sure you understand the expectations of this assignment.  Create a 1-2 page (more is fine) single-spaced Analysis of Research abstract published quantitative scholarly article related to your mock dissertation topic/research question from week 1. Additionally, this assignment functions just like assignment 2.1 only it reviews a quantitative article instead of a qualitative one.Brevity and being concise are important as this analysis is intended to be a brief summation of the research.Each abstract must therefore consist of the following in this order:

1. Bibliographic Citation – use the correctly formatted APA style citation for the work as the title of your abstract, displaying the full citation in bold font.
2. Author Qualifications – name and qualification of each author conducting the research
3. Research Concern – one paragraph summary of the reason for the overall research topic
4. Research Purpose Statement AND Research Questions or Hypotheses – specific focus of the research
5. Precedent Literature – key literature used in proposing the needed research (not the full bibliography or reference list)
6. Research Methodology – description of the population, sample, and data gathering techniques used in the research
7. Instrumentation – description of the tools used to gather data (surveys, tests, interviews, etc.)
8. Findings – summation of what the research discovered and the types of analysis that were used to describe the findings (tables, figures, and statistical measures)

View the rubric:  DSRT 837 Rubric Adapted from Doctoral Research Handbook.docx DSRT 837 Rubric Adapted from Doctoral Research Handbook.docx – Alternative Formats
 

 Write a 1,200 word (excluding references) research paper that answers the following question:

• Building off of your original discussion post:
• Describe the purpose and function of the CSIRT
• Discuss the skills and abilities needed in the CSIRT
• Explain the standing operating procedures associated with CSIRT operations
• Describe training and deployment of the CSIRT
• Cite examples (any type of example that you want to discuss -e.g., success, failures, information on response planse/procedures, architectures, technology, team) of CSIRT (or similar) from real-world cases

Remember to cite all sources.  Use scholarly/peer reviewed articles (with the exception of the real-world examples of course) 

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Assignment Content

1. ROI is one of the most common financial measuring tools. Being able to calculate the ROI or expected ROI allows us to make the best decisions about where to invest our funds for the most return on our investment over time.

   Part 1

   Using the numbers in Course Scenario: Phoenix Fine Electronics, which was provided in Week 1, calculate the estimated ROI for an ERP implementation.

   Calculate the estimated productivity as a result of implementing ERP system.

   Note: If you need help calculating ROI, review this week’s activity, Lynda.com: Content Marketing ROI by Honigman.

   Part 2

   Complete your business case to present to the management team of Phoenix Fine Electronics. Incorporate your analysis and instructor feedback from the previous week’s assignments. Include the following in your final business case:

   • Executive summary
   • High-level overall business needs and desired outcomes
   • Scope of project
   • Measurable values of new system
   • An explanation of the strategic alignment
   • Estimated ROI and productivity (from Part 1)
   • Final recommendation

 Abstract: 

Introduction: 

 Related Work:

Background: 

 Approach:

Conclusion: 

 References:

PRICE DIFFERENCIES BETWEEN AWS AND AZURE. NO PLAGIARISM

Some organizations prohibit workers from bringing certain kinds of devices into the workplace, such as cameras, cell phones, and USB drives. Some businesses require employees to use clear or see-through backpacks when carrying personal items. What other devices might not be allowed in certain facilities, and why would they be restricted? The video on Google’s Data Center may give you some ideas to write about for this assignment.

Your written assignment should consist of 2-3 paragraphs.(300 words)

Please respond with a minimum of 150 words to the peer discussion post below after reading the initial discussion first. 

Initial Discussion:

 Discuss the relationship between data redundancy and normalization. What are the consequences if databases are not normalized? What problems is normalization addressing? Why is normalization crucial for effective database design and development? 

Peer Response: 

Hello class,

During my research I found that Normalization is the method of establishing the amount of redundancy on a specific table.  In other words, normalization analyzes a table and identifies a weak table structure. The objective of normalization is to: 1) The ability to illustrate and identified redundancy and data abnormalities in a relational schema and 2) Provide processes to modify schemas to remove that redundancy and anomalies.

In contrast, data redundancy is when the field in a table needs to be updated in more than one place.  Data Redundancy can lead to many problems like format inconsistencies and the finding the same information in multiple places. Normalization addresses the problem of data redundancy, by removing the redundancies on a table, making it more consistent when adding, deleting and updating information.

Finally, normalization is crucial because it properly maintains the optimal design and structure of the database, keeping it functioning as intended by the original design. Data normalization eliminates the anomalies making the analysis of the database less complicated. Normalization also benefits the database as it will take less space without all the abnormalities in it. By taking less space has the effect of increasing performance. A database that isn’t plagued by loads of unnecessary information ensures a faster and more useful data analysis. By engaging in the process of normalization, changing and updating data within the database will be easier. Since the redundancies and errors are removed, the data is much clear and modify information will be less challenging.

References:

Watt, A., & Eng, N. (n.d.). Chapter 11: Functional dependencies, retrieved on 31 August 2021.

Watt, A., & Eng, N. (n.d.). Chapter 12: Normalization, retrieved on 31 August 2021.

Russell, G. (n.d.). Normalization. Retrieved on 31 August 2021.