Description
- 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 references total). 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 at least 7 pages long, not including the abstract. title page or reference page (so a minimum of 10 pages overall). Be sure to use proper APA formatting and citations to avoid plagiarism.Your paper should meet the following requirements:• Be at least 7 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 a
Explanation & Answer
Attached.
Abstract
The paper explores published articles and books that report on the research of data warehousing
architecture, big data, and green computing. This paper examines all the components of data
warehousing the need for green computing and also the understanding of the big data.
Data warehousing architecture
Single-tier architecture
The goal of a single layer is to minimize measurements of stored data so that excess data is
eliminated. This architecture is virtually never used.
Two-tier architecture
Both - the layered architecture isolates truly open data warehouses and sources and can not be
extended and enables a full number of end-users. There are also network impediments that
contribute to connectivity problems.
Bottom Tier:
The database of the database application is typically a connected database system.
Middle Tier:
The central stage of the data store is a modified OLAP server with ROLAP or MOLAP versions...
Top-Tier:
1
You access tools and APIs and receive information on the highest level from your warehouse.
These include querying tools, reporting tools, database management tools, analysis tools, and data
mining tools.
Components
An RDBMS server, an essential component information archive with which the whole situation is
useful, reasonable, and ready, is used for the data storage system.
Data Warehouse Database
However, the regular RDBMS program is enhanced to create a database rather than storing data,
e.g., basic query, multiple table joints, total quantities, and prevention. Database data story status
reflects the innovation in RDBMS.
Metadata
The word metadata has a high mechanical design. The metadata is used for building, maintaining,
and administering data storage systems. In Data Warehouse Architecture, metadata is relevant
because it indicates the sources, uses, quality, and features of data storage.
Tools for query
The primary purpose of data storage is to provide organization knowledge to concentrate on
essential decisions. Users can connect to the warehousing system with search tools.
1. Tools for querying and reporting:
Database or reporting tools can also be split into reporting tools and managed query tools.
Reporting tools may be divided into reporting tools and desktop reporting tools.
Tools for application development:
2
Implicit graphical and analytical tools sometimes do not fulfill an organization's organizational
...
