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This week's written activity 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 one scholarly reference per
This week's written activity 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 one scholarly reference per prompt, in addition to your textbook (which means you'll have at least 4 sources cited).
Start your paper with an introductory paragraph.
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" (2-3 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” (2-3 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. You can find examples in the UC Library.
Conclude your paper with a detailed conclusion section.
The paper needs to be approximately 7-10 pages long, including both a title page and a references page (for a total of 9-12 pages). Be sure to use proper APA formatting and citations to avoid plagiarism.
Your paper should meet the following requirements:
• Be approximately seven to ten pages in length, not including the abstract, required cover page or reference page.
• Follow APA 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 to support your positions, claims, and observations, in addition to your textbook. The UC Library is a great place to find supplemental resources.
• 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.
- By submitting this paper, you agree: (1) that you are submitting your paper to be used and stored as part of the SafeAssign services in accordance with the Blackboard Privacy Policy; (2) that your institution may use your paper in accordance with your institution's policies; and (3) that your use of SafeAssign will be without recourse against Blackboard Inc. and its affiliates. This also means you will NOT SEARCH for other versions of this paper from this class, you will not purchase services where a company writes this paper for you and you will not copy any published articles, synonymizing certain words in the article to avoid plagiarism detection. This is commonly known as a spinner. Use of a spinner will earn you a 0 on this paper and you will be submitted to UOC for an Academic Honesty violation. Please contact me with any questions on plagiarism, paraphrasing, copying without attribution or any other situation you're unsure. Ignorance is a difficult defense at the PhD level!
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******** that ****** an organization ** ******* *** ***** ** **** It *** utilize ** ** offer the *************** ** **** ******** **** ****** and **** and high ******* ****** ***** ** *** **** ******** Big Data involves *** ************ of **** volumes ** **** ******* ******** *** *** of ************* **** **** ******* sources *** ** ********* formats Big **** accept **** ******* ***** ** ********* ***** organizations collect **** **** ********* ******* **** *** ** in *** **** of videos ****** ** ***** *** **** **** has * **** ******** in ********** *** **** ****** of **** *** use ** ******* ******** ************ *** ********** ************ makes *** **** ****** **** ************ data processing ******* *** **** ** ********** with an ********* ***** ** which organizations *** use ***** ******** **** ** make ********* ************ **** is **** ************** ** **** ****** ************* to ****** ******** data ******* ** *** of *** major ************ that ******* Big **** ** **** * *********** ********* in *** market ******* *** retail ******* in ******* ***** ** *** ***** ********* ** * **** amount of data ********* **** ******** purchase is recorded and ******** ** ****** ******** growth ********* *** organization has *********** systems **** utilize aspects ** *** data ** ***** information system ** is * system **** collects * **** ****** of **** ******** ** ******** ********* *** inventory fulfillment Each sale made ** *** company is quickly ******** *** stored *** future ******** ****** ***** ** *********** variety ***** ** ******** **** **** ******** ******* *** ***** ****** *********** ** **** ** ***** online ********* **** ***** *** ******** ** ******** with *** ************ ******* **** has * ************* ******* ** Big **** ** **** ******** of ********** intelligence ** ******* critical ******** in *** *********** ******** ***** *** inventory is ************* ordered based on *** ******** purchasing ******** ** ******* ***** *** Data allows *** company ** quickly sift ******* *********** *** **** ********* decisions that will impact *** ******* ***** **** ** ****** *********** ********** ***** that only ******** ********** *********** making the interpretation ********** ** ******** ******** **** ******* **** places ****** ******* ** ************* *** **** ********** ************ ** ******** **** ************* frequently ******* ***** data ******* ******** *** utilization ** *** **** ******** ****** **** *** ******* ****** and ******* ** **** **** ******* from *** ******* *** ************ *** ****** *** *********** *********** **** ******** **** *** ************ are *********** developed to cope with the **** ** data volume *** organization **** **** ** ******* new ************ that ******* ** ******** their **** handling capacity *** **** **** **** ******** organizations to ***** ********* files ** different ******* The *********** ** *** *** ** **** ********** ******** that accepts a wide range ** ******* ** **** **** ****** **** **** ********** ************ become ********* **** ****** ****** **** the ********* ******** ** data ******* **** ****** organizations to * **** ***** ** **** ******* *** other ******** ** *** ************ ** *** **** ** ****** ** ***** **** ********** tools ************* ****** work ******* creating tools **** *** process *** high ****** ** **** ******* causing *** due to ******** The faster processing speed **** allows organizations ** ******* *** **** ** time ** **** * *********** edge *** ****** for **** management ************ **** ** *** **** ** integrate ************ **** ***** *** ****** ********** ********** ************ ** most likely to ******** ** usage when ********** **** ********** ************ *********** ********** ***** *** not ******* ** ********** the large **** of *********** ********* ** Big data ** *********** ******** **** AI or machine ******** ********** will ***** data ********** ************ ** **** **** the ***** **** volume *** *********** ** **** ************* and **** management technologies will **** ** ****** *** ********* usage of AIGreen ComputingOrganizations have ***** dependent ** technological ******* ** increasing their efficiency *** *********** ********* Many large ************* **** **** ******* or **** ****** ** *** ** ** efficient ******** ** ******** their **** The widespread *** ** ********** ********* with *** growth ** ****** ******* ******** *** ******* of green ********* ******* ** a ******** ** *** rising **** ** **** ******** ** **** *** energy ************** **** *** ** *** ****** ******* problem ****** 2019) Green ********* ** ** *************** sustainable ******** ** *** exploitation ** *********** ************ ** ******** ********* ************* science to ********* ******** tactics **** help ******* *** natural *********** Green ********* ****** **** *** design *********** *** ends with *** disposal ** *********** ********** ************* ************ can ****** ***** ********* ** embracing ***** ****** *** ******** *** ******** **** ** *** organization should **** designs **** *** *********** ** *** energy *********** ************* ****** **** purchase ******** *** other ********** **** **** the energy **** ***** ** a testament ** energy-efficient ****** ************* ****** **** **** ** the ********** ** *** ************* process—green ********* advocates *** the *** ** computer equipment that are manufactured with low energy ****** ************* ** *** equipment **** ******** ***** ** ******** the ***** ** ****** efficiency Companies *** ***** *** environmental impact ******* **** their suppliers ** ****** **** **** are **** ***** ***** **** are ******** in ********* that **** * *** ************* *************** can **** ******* ***** ********* ******* *** green *** ** their *********** ********** ************** ****** ********** ******** *** ** ********** ** ensure only ***** ********* **** are ********* at a ********** **** are *********** *** ******** ****** guide *** employees ** *** most ********* *********** ** energy *** ****** **** ****** ** *** ** low ****** ** ******** in ******* the *********** system **** *** ********** devices Companies *** **** *** ** ********* *** *** ** ********* ****** in ***** **** ******* ********* *** ******* wind ** ***** ****** to ********* **** their *********** ********** ************** only ******** renewable ****** sources *** ***** ********* strategy is ** *** **** *** ************ ******** ** *** hardware **** ******** ******* **** ** the ******** in ***** areas ** the organization ** also ******** *** safe *** appropriate ******** ** *** items ** * manner **** minimizes *** ************* ****** ** ***** **** be prudent to ******* some ** *** ******** ********** ** *** ********** ** other ******** Apple is among the ***** ********* that **** embraced ***** ********* *** company *** done **** **** *** old ****** ** *** **** ******* ** ** ********* to develop *** data ******* the company embraces the *********** ** solar energy ** *** *** data ******* **** *** *** ** ********* ******* 2020) The **** center *** *** ** the largest **** ***** installations ** the ***** The ****** ** ** have **** ******* **** ******* **** solar ****** ** any ***** **** ** renewable ****** *** ************ are **** *** **** ******* ** ***** **** **** **** renewable ****** ** all *** data centers The ********* ** **** Apple ****** ****** ***** *********** ***** while saving *** ******************** warehouse ************ has ** ****** ** ******* *** ******** ****** ** Big **** and ***** ********* The architecture ****** ****** ** ******* **** ********** *** ************ data ** ** attempt to **** **** *** ****** utilization ** ************ **** *** Data ******** *** large data stored ** *** data ********* ************ to ***** ********** ********* *** ******** ****** ** ********* ** ******** *** ********* ********* *** exploitation of **** ** attaining * *********** advantage ** **** continues ** ******* ******* ******** ********** and ********** ************ ** ******* *** ********** Green ********* requires **** *** **** ******* ****** ****** ***** ************* ****** ********* ****** *** *** ******* renewable energy ******* ** **** increase ***** ********** ** *********** ***************************************** D ****** Lessons **** becoming a data-driven ************ MIT ***** ********** Review 58(2)McLean J ****** ********** ***** ******* ************ ************** ********* ************** and ******* ************ ** ******** ******* *********** *** ******** Palgrave Macmillan ChamPruhs * ****** ***** ********* ************ ** ********* and Software ******* *** ******** ******** *********** N * (2016) How ** use *** **** ** drive **** supply chain ********** ********** ****** ***** ********** * (2019) ****** paper ** **** ********* ************ ************* ******* *** ******** ******** and *********** 2(1) *********
