Please explain your understanding of organizational policies for compliance.

Why is it important to use the capability maturity model integration when managing projects?

200-300 word 

For this assignment, My task is to scan the WebGoat source code using the VCG SAST tool and verify the findings within the code. In particular, you will be be using VisualCodeGrepper, which is an open-source SAST tool running on Windows. It supports multiple programming languages(C++, C#, VB, PHP, Java, and PL/SQL).

. Prepare a simple report based on OWASP Findings Report Guide, and submit the report in a PDF format   There should be a section summarizing all the findings by:

1. Risk level
2. OWASP Top 10 Threats

To install VCG and run your scans, follow these instructions:

1. Download WebGoat 8.0 from GitHub in a zip format.
2. Extract the zip file into a directory.
3. Download VCG from the project page.
4. Install VCG on a Windows machine. Consider the system requirements on the project page.

 Write a 2–3 pages research paper answering about history of cryptography.

What are the common business problems addressed by Big Data analytics?  In the era of Big Data, are we about to witness the end of data warehousing? Why?

250-300 words with a minimum of 2-3 references in APA format

Style Guides and Navigation Features

This is NOT you casually talking about topics. 

You should be REPORTING EVIDENCE and EXAMPLES from what you read.

1. Identify the topic for this week. The title of this discussion board thread lists topics 
2. Find three high-quality sources of related information on the Internet. 
3. Read your chosen high-quality sources of related information.
4. state your three sources of information.
5. DESCRIBE each of the three sources of information within a few sentences providing EXAMPLES.
6. SUMMARIZE with three things about the topic that you want to remember forever.

 What is the importance of  regular expressions in data analytics? Also, discuss the differences  between the types of regular expressions.Choose two types of regular expressions  and discuss the differences between the two. Please be sure to include  two or three differences for each. Include how they help manipulate  data. 

 Week 5 case paper: Recommendations

Continuing your work with your organization(assume you are a software engineer/developer working for a company like BestBuy or Facebook or Amazon or pick your own example company), for week 5 research best practices for operational excellence based on the course readings. In your paper for this week include the following:

– Identify and justify 2 specific recommendations you have for the organization
– Provide an outline for a change management plan to implement your 2 recommendations
– Discuss your plan for working with the people who will be involved or impacted by your recommendations
– Conclude with your thoughts on the expected benefits or outcomes after implementing your recommended changes

Write your responses to these questions in a 2-3 page APA-formatted paper (not including the cover page or references page). Use unique in-text headings for each question–do not re-state the questions as the headings. Support your responses with citations in your paper that match the references provided.

Step 1 – Scraping

Complete your initial scraping using Jupyter Notebook, BeautifulSoup, Pandas, and Requests/Splinter.

• Create a Jupyter Notebook file called mission_to_mars.ipynb and use this to complete all of your scraping and analysis tasks. The following outlines what you need to scrape.

NASA Mars News

• Scrape the NASA Mars News Site (https://mars.nasa.gov/news/?page=0&per_page=40&order=publish_date+desc%2Ccreated_at+desc&search=&category=19%2C165%2C184%2C204&blank_scope=Latest  ) and collect the latest News Title and Paragraph Text. Assign the text to variables that you can reference later.

# Example:







news_title = "NASA's Next Mars Mission to Investigate Interior of Red Planet"















news_p = "Preparation of NASA's next spacecraft to Mars, InSight, has ramped up this summer, on course for launch next May from Vandenberg Air Force Base in central California -- the first interplanetary launch in history from America's West Coast."

JPL Mars Space Images – Featured Image

• Visit the url for JPL Featured Space Image here:  https://www.jpl.nasa.gov/spaceimages/?search=&category=Mars 
• Use splinter to navigate the site and find the image url for the current Featured Mars Image and assign the url string to a variable called featured_image_url.
• Make sure to find the image url to the full size .jpg image.
• Make sure to save a complete url string for this image.

# Example:







featured_image_url = 'https://www.jpl.nasa.gov/spaceimages/images/largesize/PIA16225_hires.jpg'

Mars Weather

• Visit the Mars Weather twitter account here and scrape the latest Mars weather tweet from the page. Save the tweet text for the weather report as a variable called mars_weather.
• Note: Be sure you are not signed in to twitter, or scraping may become more difficult.
• Note: Twitter frequently changes how information is presented on their website. If you are having difficulty getting the correct html tag data, consider researching Regular Expression Patterns and how they can be used in combination with the .find() method.

# Example:







mars_weather = 'Sol 1801 (Aug 30, 2017), Sunny, high -21C/-5F, low -80C/-112F, pressure at 8.82 hPa, daylight 06:09-17:55'

Mars Facts

• Visit the Mars Facts webpage here and use Pandas to scrape the table containing facts about the planet including Diameter, Mass, etc.
• Use Pandas to convert the data to a HTML table string.

Mars Hemispheres

• Visit the USGS Astrogeology site here to obtain high resolution images for each of Mar’s hemispheres.
• You will need to click each of the links to the hemispheres in order to find the image url to the full resolution image.
• Save both the image url string for the full resolution hemisphere image, and the Hemisphere title containing the hemisphere name. Use a Python dictionary to store the data using the keys img_url and title.
• Append the dictionary with the image url string and the hemisphere title to a list. This list will contain one dictionary for each hemisphere.

# Example:







hemisphere_image_urls = [







    {"title": "Valles Marineris Hemisphere", "img_url": "..."},







    {"title": "Cerberus Hemisphere", "img_url": "..."},







    {"title": "Schiaparelli Hemisphere", "img_url": "..."},







    {"title": "Syrtis Major Hemisphere", "img_url": "..."},







]

Step 2 – MongoDB and Flask Application

Use MongoDB with Flask templating to create a new HTML page that displays all of the information that was scraped from the URLs above.

• Start by converting your Jupyter notebook into a Python script called scrape_mars.py with a function called scrape that will execute all of your scraping code from above and return one Python dictionary containing all of the scraped data.
• Next, create a route called /scrape that will import your scrape_mars.py script and call your scrape function.
  • Store the return value in Mongo as a Python dictionary.
• Create a root route / that will query your Mongo database and pass the mars data into an HTML template to display the data.
• Create a template HTML file called index.html that will take the mars data dictionary and display all of the data in the appropriate HTML elements. Use the following as a guide for what the final product should look like, but feel free to create your own design.

Step 3 – Submission

To submit your work to BootCampSpot, create a new GitHub repository and upload the following:

1. The Jupyter Notebook containing the scraping code used.
2. Screenshots of your final application.
3. Submit the link to your new repository to BootCampSpot.

Hints

• Use Splinter to navigate the sites when needed and BeautifulSoup to help find and parse out the necessary data.
• Use Pymongo for CRUD applications for your database. For this homework, you can simply overwrite the existing document each time the /scrape url is visited and new data is obtained.
• Use Bootstrap to structure your HTML template.

Discussion :   Topic

Organizational Issues

Organizational Issues

Hello Class! Please respond to BOTH of the following questions:

Question A

• What are some of the reasons why organizations have problems patching vulnerabilities?

Question B

Each week, research a unique news story or article related to Information Security/Information Technology. Post a summary of what you learned to the discussion thread, please also provide a link to the original article. Source is your choice; however please fully cite your source.

Week 4 Assignment – Executive Program Practical Connection 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. 

Deadline: 48 hours

Please place a bid if and only if you are comfortable with my deadline and budget. Thanks