Question 1: Risk is defined as the probability that a threat will be realized. Y

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Question 1: Risk is defined as the probability that a threat will be realized. Y

Question 1: Risk is defined as the probability that a threat will be realized. You can calculate the expected loss by multiplying the risk probability by the asset cost. Based on your own experience, which of the following security review activities (Monitor, Audit, Improve, and Secure from page 218 of the book Fundamentals of Information Systems Security) do you feel should receive the most resources? Explain why.
Note: plagiarism is not tolerated in this course. Everything must be in your own words with sources! Failure to do so will result in failing grade.
Discussion_Grading_Rubric_Final.docx Download Discussion_Grading_Rubric_Final.docx
Supplemental Material:
-Secure Software Development Lifecycle (synopsys). https://www.synopsys.com/blogs/software-security/secure-software-development-life-cycle-journey/Links to an external site.
-Security Areas to focus on during Covid (Gartner). https://www.gartner.com/smarterwithgartner/7-security-areas-to-focus-on-during-covid-19/Links to an external site.
-Quantitative Risk Analysis. https://blog.netwrix.com/2020/07/24/annual-loss-expectancy-and-quantitative-risk-analysis/Links to an external site.
-Security Auditing & Testing. https://www.dnsstuff.com/it-security-audit-vs-security-assessmentLinks to an external site.
Question 2:Does a company license software using Capex funds, or is it always Opex? Can you buy hardware with Opex or is it always Capex? What things can you capitalize and what things require operational funding? Where does Capex money come from and where does Opex money come from? If you run out of Opex can you just use Capex? What’s the difference here? Can you sort all of this out?
Question 3: Describe your recommendations on the use of the Data Warehousing or other data storage formats for your client’s new DA function. Also specify where the Big Data will come from and how it will be collected. Supply your DFD, WFD, and Schema.
Download this MS-Word document. Edit it. Select your options. Add the expected text and diagrams. Upload it back here by the deadline.
Your recommendations about Big Data and Data Warehousing as they involve the new DA function
Describe YOUR RECOMMENDATED PLAN for your client regarding the use of Big Data and Data
Warehousing for creation of the new data analytics (DA) system.
1. The name of your client company is: ___________________________
2. The type of industry your client is in ___________________________
3. Database Recommendations (Click your recommendations)
☒Recommend a Database
☐ Data Warehouse (name)_________
☐ Other Database (name) _________
☐ SQL-based – formatted data
☐ Non-formatted data
☐Big Data source #1___________
☐Big Data source #2___________
☐Big Data source #3 ___________
☐Big Data source #4 ___________
☐Hadoop product for data (name) _________
☐Schema
☐Format Data on Store
☐Format Data on Read
☐DFD
☐WFD
☐ETL product (name)______
☐ELT product (name)______
☐Est annual support (FTEs) ______
☐DB/DW to be supported by ________
☐Recommend OTS DB SW (name)_______
☐Est cost $______
☐To be supported by ______
☐Recommend CSP-supplied DB SW
☐Est cost $______
☐DB services from CSP (name)__________
☐Data backup provided on-prem
☐Data backup service by CSP
☐Are the DB’s with Big Data in cloud?
☐Tools for data capture (name)_________
4. Add 1-2 paragraphs below describing why you make the above Data Warehouse recommendations
for the data analytics (DA) system. Also, what are the sources of the data that make up Big Data?
You will be describing your planned recommendations for the use of Big Data to support the new DA function.
Grading Rubric:
1. Is a client named and is the industry specified ? 20%
2. Do the Data Warehousing recommendations make sense? 25%
3. Do the Big Data recommendations make sense (where is the data? how will it be transferred, what format will it be stored in?): 25%
4. DFD 10%
5. WFD 10%
6. Schema 10%
Again, you are advising a client company on how to set up an ONGOING Data Analytics function and this module focuses on your recommendations regarding Big Data and the Data Warehouse or other database technology.
NOTES : I NEED MY ASSIGNMENT IN APA FORMAT. I NEED MY ASSIGNMENT ON TIME.I NEED 900 TO 1200 WORDS PER QUESTION. PLEASE DO NOT COPY FROM THE INTERNET. I NEED MY ASSIGNMENT WITHOUT AI AND PLAGDRISM SHOULD BE LESS THAN 15 %. PLEASE MAKE SURE ABOUT AI. PLEASE MAKE IT IN YOUR OWN WORDS.I NEED MY ASSIGNMENT IN APA FORMAT.

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