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Homework answers / question archive / PORTFOLIO PROJECT: This week's written activity is a three- part activity

PORTFOLIO PROJECT: This week's written activity is a three- part activity

Computer Science

PORTFOLIO PROJECT:

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 UC library source 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.

II ILI UUUCLIONI Attachment 1 Portfolio Project.docx 28 % Sources > INCLUDED SOURCES The data warehouse design has been the core of enterprise data ecosystems for the recent several years. And, among other changes in the fields of Big Data, cloud computing, data analytics, and cyberse- curity during the past five years, data warehouses have only grown in importance. Although there are more options for keeping, processing and classifying data nowadays, data warehousing's relevance can- not be overstated. This paper shall discuss the fundamental theories and major components of data warehouse architecture, big data and its uses personally and professionally, and green computing. First, we begin by understanding the theory of data warehousing. Major Components of a Data Ware- house Architecture A data warehouse collects historical and current information from one or more providers (Nadikattu, 2019). Historical transactional data is usually included in a data warehouse. It can, nevertheless, also incorporate data from other sources. It divides analytical from transactional capabilities and enables businesses to combine data from several sources. The structure of a data warehouse (DWH) is made up of six foundational pillars. To begin, we have the data warehouse database as the first component. 6 A databank is the most important part of a data warehousing architecture since it stores all com- pany information and enables it to be manageable for analysis. Certainly, you'll have to decide which database you'll employ to hold information in your warehouse. The four database categories that you can utilize are as follows: - (1) the typical relational databases are the row-centered databases that you might utilize daily, (2) analytics databases are designed specifically for data storing to support and run analyses, (3) data warehouse programs aren't technically a type of storage database, but multiple Institutional database (16) 28 % Internet (1) % > Top sources

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