1)Week 3: Discussion: Data Visualization Workflow – Four Key Stages

In Chapter 2, the author talks about four key stages with regards to data visualization workflow. Select one key stage and expand on the author’s comments about the stage.

As noted by Kirk (2016), the four key stages are the following:

1. Formulating your brief
2. Working with data
3. Establishing your editorial thinking
4. Developing your design solution

Remember your initial post on the main topic should be posted by Wednesday 11:59 PM (EST). Your 2 following posts should be commenting on your classmates’ post on different days by Sunday 11:59 PM (EST). You should end the week with 3 total discussion posts.

A quality post is more than stating, “I agree with you.” Maybe you should state why you agree with your classmate’s post. Additionally, post some examples or find a related topic on the internet or University’s library and comment on it in the discussion post.

Reference: Kirk, A. (2016). Data Visualisation: A Handbook for Data Driven Design (p. 50). SAGE Publications.

2)Week 3 Discussion

1. The cloud delivery models are: IaaS, PaaS, and SaaS.
2. Discuss each of the above three models in term of the cloud consumer granted administrative control and the risk of security breaches?
3. What pricing models would you advocated for IaaS, PaaS, and SaaS?

• In addition to the above two posts, respond to at least one of your classmate posts?

divravi