All posts by : chebby

 The exercise consists of doing exercises from attachment named “2.5 instructions” from the information on “1.9.docx” attachment.  

Hello please i need someone to help me with this discussion question. thanks

• What advice or encouragement do you have for your classmate?
• What did you learn about the topic from the visual aid? 
• Do you have any suggestions for how your classmate could revise their visual?

 Based on the text I believe that using PowerPoint is going to be the  best option for my speech so that I can show visual representations of  some of the data points that I will be talking about, as well as adding  context to my points. When considering what visual aid I should use, I  considered the more technical aspect of my speech and how important the  data is in some of the points I am making. I wanted to make sure that  the data I’m talking about is making sense to my audience, so showing  visual comparisons will help the audience make sense of the data I  mention during the speech. Some of the points I make might be surprising  to people, so it will help to see photos of some things in real life to  help people realize that the things I am saying are true. I also  committed a slide to mention some of the other interesting things to do  with my topic that I don’t have time to discuss because I’d like to  leave the audience with something to think about and google when I am  done.  

NIST Cyber Security Frameworks

When a company is looking for potential vendors/suppliers for a project, what would be the impact if the company asked vendors submitting proposals to provide information about their cybersecurity framework profile? How would that affect the supplier-customer relationship?

 The latest generation of mobile devices are portable enough to carry at all times, connected to voice and data networks, and contextually aware by using sensors and networks to preemptively complete tasks.  Many of today’s mobile applications are personalized, and are not useful if they can only access the data on the phone.  For a user to get, for example, sports scores, retrieve stock quotes, or perform accounting work, the mobile device needs to communicate with one or more servers, starting with the Window servers.

• Discuss effective use of screen real estate
• How does mobile user interface designs & websites reduce end-user self-efficacy?
• What are the challenges of integrating mobile applications with multiple databases? 

•  Late assignments will not be accepted. 
• This is a required assignment and is worth 50 points.
• You must apply and use the basic citation styles of APA.
• Do not claim credit for the words, ideas, and concepts of others.
• Use in-text citation and list the reference of your supporting source following APA’s style and formatting
• Do not copy and paste information or concepts from the Internet and claim that is your work.  It will be considered Plagiarism and you will receive a zero for your work.

Risk Assessment vs Vulnerability Assessment: How To Use Both ?

400-500words no format

The calculation of risk is fundamental to security assessment and threat molding, for real-world calculation risk might be as:

Credible Attack Vector * impact = Risk Rating

Apply this equation to your organization or any real-life situation and explain in detail how you will use it?   

This assignment should be in APA format 400-500

Big data and Cloud Computing

The questions are in the attached file. 

Subject: ITS-836 – Data Science & Big Data Analytics

Reading Resources: 

Dash, Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal of Big Data, 6(1), 1–25.

Nastaran Hajiheydari, Mohammad Soltani Delgosha, Yichuan Wang, & Hossein Olya. (2021). Exploring the paths to big data analytics implementation success in banking and financial service: an integrated approach. Industrial Management + Data Systems, 121(12), 2498–2529.

Dai, Wang, H., Xu, G., Wan, J., & Imran, M. (2019). Big Data Analytics for Manufacturing Internet of Things: Opportunities, Challenges and Enabling Technologies.

Ge, M., Bangui, H., & Buhnova, B. (2018). Big data for internet of things: a survey. Future generation computer systems, 87, 601-614.

ASSIGNMENT 1: Literature Review: Big Data in Smart Cities Literature Review

Conduct a literature review of big data handling approaches in smart cities including techniques, algorithms, and architectures. You are to review the literature on smart cities 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.

Paper Layout:

– Title Page

– 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. Be sure to include techniques, algorithms, and architectures.

– Research Questions: In the identified problem area that you are discussing, what were the research questions that were asked? Be sure to include main research questions from all the literature you are reviewing.

– Methodology: What approach did the researcher use, qualitative, quantitative, survey, case study? Describe the population that was chosen. You will discuss the methodology for all the literature you are reviewing.

– 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? Be sure to also include the similarities and differences between the literature.

Paper requirements:

– Be a minimum of 7 pages in length, not including the required cover page and reference pages.

– Follow APA 7 guidelines. Be sure to conduct research on formatting literature reviews.

– Your literature review should include a minimum of 8 scholarly peer-reviewed journal articles.

– Be clear and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.

ASSIGNMENT 2: Discussion:

There are several benefits as well as challenges associated with the use of Big Data Analytics in the e-Healthcare industry. Pick one of the four concepts below and then identify the benefits and challenges associated with that concept. Do not simply list the benefits and challenges but detail them in a substantive, thorough post as it relates to that concept in the e-healthcare industry.

1. Data Gathering

2. Storage and Integration

3. Data Analysis

4. Knowledge Discovery and Information Interpretation

– Please cite properly in APA 7· 

– At least one scholarly source should be used. · 

– Use proper citations and references in your post.

– 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.  

This post consists of 2 individual assignments. Please provide answers in separate documents. Also, attach plagiarism reports.

Note: plagiarism check required, APA7 format, include References, within 8hrs

Complete the following:

For each of the following actions, use each language to complete a programming solution.

Please copy the numbered action into your Microsoft Word document.

Please post your code for Python to cover item 1 below.

For items 2–3 below, provide a screenshot of the execution, in Java and R, showing the code and the result set. Be sure to submit the actual .py file for Python in this module. Make sure to also respond to items 4 and 5.

Start a next action on a new page.

For items 1–3, use the IN300_Dataset1.csv file.

1. Write a Python program that reads the CSV file into a Panda dataframe. Using that dataframe, print the row, source IP, and destination IP as a table.

2. Write a Java program that reads the CSV file into an ArrayList. Convert the ArrayList to a string array and print the row, source IP, and destination IP on the same line using a loop.

3. Write an R program that reads the CVS file using the read.csv data type. Print the row, source IP and destination IP of each line.

As part of the mastery requirements for this Competency Assessment, complete the following boldfaced item:

Using the requirements for Step 3 above, write code, in R, that adds the protocol to the output of the given assignments.

4. Compare and contrast the data collection used for each language.

5. Discuss the data science process.