UC Data Warehouse Architecture Big Data and Green Computing Paper

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Computer Science

University of the Cumberlands


The report is a three- part activity. You will respond to three separate prompts but prepare your paper as one research paper.

1. 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" (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. You can find examples in the UC Library.

Conclude your paper with a detailed conclusion section.

- Please provide a 2-3 page draft along with final paper. Draft should include 1-2 references.

- The paper needs to be approximately 5-8 pages long, including both a title page and a references page (for a total of 7-10 pages).

- Be sure to use proper APA formatting and citations to avoid plagiarism.

- Write the paper in your own words. No grammatical errors. No spinbots.

- Be sure to include at least one external, peer- reviewed journal reference per prompt, in addition to the textbook. I have attached references for prompt 1 and 3. Use reference of your choice for prompt 2.

- Use at least 5 references in total.

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Explanation & Answer




Sentence Outline: Data Warehouse Architecture, Big Data, and Green Computing
Institutional Affiliation




A. Over time, information technology has evolved with nearly all organizations embracing
modern technology to promote business agility, boost their modes of production, improve
customer satisfaction, and enhance their efficiency.
B. The paper analyzes data warehouse architecture, big data, and IT green computing to
assist readers to understand how organizations have continued to embrace modern
C. Data warehouse refers to the collection and management of data from several sources to
offer crucial business insights.
D. Big data refers to large data sets from different sources which are computationally
analyzed to obtain insightful information such as market patterns and trends regarding
human behavior and interactions.

Prompt 1: Data Warehouse Architecture

Components of Data Warehouse Architecture
A. Data Marts, Database, Query Tools, Meta Data, and ETL Tools are the five major
components of data warehouse architecture.
B. Data Marts is a physically separate store of data and it is housed on a separate data server
in the data warehouse.
C. Query Tools are tools that allow business users to interact with the data warehouse
D. Metadata including technical metadata and warehouse metadata are critical in managing,
maintaining, building, and using the data warehouse.



E. Data coming from various sources into the data warehouse, including internal data,
archived data, external data, and production data, are first cleaned.
Forms of Data transformations
A. Binning or bucketing, data aggregation, data cleansing, data deduplication, data
derivation, data filtering, and data integration are major forms of data transformations.
B. Binning/bucketing involves changing numeric series of data into categorical, fixed
C. Data deduplication, a form of data transformation, involves removing repeated or
duplicated copies of information.
D. Data derivation entails special rules’ creation to “derive” the unique information from the
data source.
E. Data filtering involves the “distillation” of a data source by eliminating overly sensitive,
irrelevant, or repeated data.
Data warehouse Trends
A. Data warehousing trends depict huge improvements and transformation in data
warehousing architecture to meet the changing needs and demands of the industry.
B. New trends in the data warehouse are often geared towards eliminating inefficiencies of
systems and make warehouses very efficient.

Prompt 2: Big Data

Understanding of Big Data



A. From my understanding, big data is a collection of data that tends to be very large in
volume and tends to grow proportionally and exponentially with time (Oussous et al.,
B. For example, in the workplace, data sets from wireless sensors, CCTV cameras, and
remote sensing are store in data centers for future analysis.
Big Data Demands on Organizations
A. Big data demands organizations to install sophistical big data analytics tools, employ
staff with state-of-the-art skills, replace traditional data management technology with
modern, install sophisticated privacy tools, and spend huge time extracting and managing

Prompt 3: Green Computing

Ways Organizations make Their Data Centers “Green”
A. To make data centers “green”, organizations need to buy “energy star” labeled laptops,
desktops, and monitors to be used in data centers.
B. Also, organizations are encouraged to turn off the computers and other equipment used in
data centers when not in use.
C. Moreover, organizations are encouraged to E-cycle used equipment and computers in
data centers.
D. Furthermore, organizations are encouraged to buy the latest Smart Power Strip.
An Organization Using IT Green Computing Strategies
A. Apple, Inc. is using green computing strategies in its data centers.



B. For example, Apple’s data centers are powered by 100 percent green energy or renewable
electricity sources (Apple, 2020).
A. Companies use data from various sources in daily business operations.
B. The research has shown that various components of data warehouse architecture play
important roles in extracting, storing, and retrieving information for business functions.
C. To realize the benefits of data warehouse architecture, organizations need to employ
highly skilled human resources and leverage big data.



Apple, Inc. (2020). Environment. Retrieved August 8, 2020, from
Oussous, A., Benjelloun, F. Z., Lahcen, A. A., & Belfkih, S. (2018). Big Data technologies: A
survey. Journal of King Saud University-Computer and Information Sciences, 30(4), 431448.



Research Paper: Data Warehouse Architecture, Big Data, and Green Computing
Institutional Affiliation...

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