Please do not plagiarize!! 1. Explain the data warehouse key architectures and d

Please do not plagiarize!!
1. Explain the data warehouse key architectures and describe two or three benefits. Why is web accessibility important with a data warehouse? Provide a specific example to support your rationale.
2. Business process management (BPM) encompasses five basic processes: strategize, plan, monitor, act, and adjust. Select one of these processes and discuss the types of software tools and applications that are available to support it. Provide a specific example of how BMP helps organizations with their operational processes.
3 Discuss the main data mining methods. What are the fundamental differences among them? Provide a personal example where you have utilized one or more of these types of data mining methods in your career or academic track.
4 What is the main difference between classification and clustering? Explain these differences using concrete examples.
5 What does it mean to induce structure into the text-based data? Discuss the alternative ways of inducing structure into text-based data. Provide an example of the benefits of inducing structure into text-based data.
6 What is natural language processing (NLP)? Describe the role of (NLP) in text mining? Discuss the capabilities and limitations of NLP in the context of text mining using a specific example for each to support your rationale.
7 How does prescriptive analytics relate to descriptive and predictive analytics? Provide a specific example of each analytic and a type of problem it can routinely solve.
8 What is a decision tree? How can a complex problem be solved by using a decision tree? Explain how linear programming (LP) can solve allocation problems. Provide a specific example to support your rationale.
9 What is big data? Why is it important? Where does it come from? Identify a specific industry (e.g., health care, retail, entertainment) and explain how that industry uses big data.
10 What are stream analytics? How does it differ from regular analytics? Identify a common application of stream analytics and discuss how it is used.
11 Identify new cases of violations of user privacy from current literature and explain their impacts on data science as a profession. How might Christian worldview principles be used by business analysts to improve their ethical practices in the field of data science whether they are Christian or not?
12 How can consumers benefit from using analytics, especially based on location information? Provide a specific example to support your rationale.