Data Warehouse Architecture, Big Data And Green Computing

Data Warehouse Architecture, Big Data And Green Computing

The final portfolio project is a three-part activity. You will respond to three separate prompts but prepare your paper as one research paper. Be sure to include at least 4 scholarly sources cited.

Prompt 1 “Data Warehouse Architecture” (2-3 pages): Explain the major components of a data warehouse architecture, including the various forms of data transformations needed to prepare data for a data warehouse. Also, describe in your own words current key trends in data warehousing.

Prompt 2 “Big Data” (1-2 pages): Describe your understanding of big data and give an example of how you’ve seen big data used either personally or professionally. In your view, what demands is big data placing on organizations and data management technology?

Prompt 3 “Green Computing” (1-2 pages):  One of our topics in Chapter 13 surrounds IT Green Computing. The need for green computing is becoming more obvious considering the amount of power needed to drive our computers, servers, routers, switches, and data centers. Discuss ways in which organizations can make their data centers “green”. In your discussion, find an example of an organization that has already implemented IT green computing strategies successfully. Discuss that organization and share your link.

Conclude your paper with a detailed conclusion section. The paper needs to be approximately 5-8 pages long, including both a title page and a references page. Be sure to use proper APA formatting and citations to avoid plagiarism. Your paper should meet the following requirements:

  • Be approximately 5-8 pages in length, not including the required cover page and reference page.
  • Follow APA7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
  • Support your answers with the readings from the course, the course textbook, and at least three scholarly journal articles from google scholar to support your positions, claims, and observations, in addition to your textbook.
  • 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




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