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  The databases for this assignment (MBA and IT 100 v4) and the Database II Answers Excel spreadsheet are available on Blackboard and should already be in your CIS 220 folder if you are using Microsoft Access through the virtual machine. ALSO NOTE: You should submit both databases with the queries labeled as specified below AND the Database II Answers spreadsheet, with your answers filled in in the appropriate cell. 

 Discussion #1: How does prescriptive analytics relate to descriptive and predictive analytics? 

Discussion #2: Explain the differences between static and dynamic models. How can one evolve into the other? 

 Contingency planning is a risk mitigation process for developing back-up plans in anticipation of events (scenarios) that might disrupt ‘business as usual’. Business continuity planning is an expanded version of contingency planning that typically encompasses a more comprehensive and extended response plan for getting back to ‘business as usual’. In a well-formatted, highly-detailed research paper, address the need to contingency planning, ensuring to address the following items:(1) Benefits of scenario events/planning. (2) Questions to consider when implementing scenario planning. (3) The common types of scenario planning.Your paper should meet these requirements:  

• Be approximately four pages in length and use atleast three scholarly journal articles.
• Follow APA 7 guidelines.

Topic of your choice within Information Assurance during this course.  Recommend 4 pages, at least three references and in APA format. Include a summary for presentation

Discussion (Chapter 8): Excel is probably the most popular spreadsheet software for PCs. Why? What can we do with this package that makes it so attractive for modeling efforts?

Note: The first post should be made by Wednesday 11:59 p.m., EST. I am looking for active engagement in the discussion. Please engage early and often.

Your response should be 100-300 words. Respond to two postings provided by your classmates.

Textbook Exercises

Chapter 5 Hashed Data Structures

1, 5, 9, 10, 11 (a)(b), 25, 26, 28

Chapter 6 Recursion

2 (a,b,c,d), 11(a, b, c, d)

Week 4 Research Paper: Big Data and the Internet of Things

The recent advances in information and communication technology (ICT) has promoted the evolution of conventional computer-aided manufacturing industry to smart data-driven manufacturing. Data analytics in massive manufacturing data can extract huge business values while it can also result in research challenges due to the heterogeneous data types, enormous volume and real-time velocity of manufacturing data.

For this assignment, you are required to research the benefits as well as the challenges associated with Big Data Analytics for Manufacturing Internet of Things.

Your paper should meet these requirements:

• Be approximately four to six pages in length, not including the required cover page and reference page.
• Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
• Support your answers with the readings from the course and at least two scholarly journal articles to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find resources.
• Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

 minimum 200 words

Will blockchain transform capital markets? Yes or no? Explain your reasoning

Zero Plagiarism

Use the web or other resources to research at least two criminal or civil cases in which  recovered files played a significant role in how the case was resolved.

Use your own words and do not copy  the work of another student.

In WORD document 

Youtube link:  https://www.youtube.com/watch?v=aeekxpX3YTU