Data Mart and Cube Design
Order ID |
53563633773 |
Type |
Essay |
Writer Level |
Masters |
Style |
APA |
Sources/References |
4 |
Perfect Number of Pages to Order |
5-10 Pages |
Description/Paper Instructions
Data Mart and Cube Design
A data mart is a subset of an organization’s overall data warehouse that is designed to serve a specific business unit, such as a department, line of business, or geographic region. The purpose of a data mart is to provide a subset of the organization’s data that is tailored to meet the specific needs of the business unit it serves, in a manner that is optimized for querying and analysis.
Data marts typically contain a subset of the data found in the overall data warehouse, and are optimized for querying and analysis. They are created by extracting data from the data warehouse, transforming it to meet the specific requirements of the business unit it serves, and loading it into a separate database that is optimized for querying and analysis.
Data marts can be designed using a variety of methods, including star or snowflake schemas, which are optimized for querying and analysis. In a star schema, dimension tables are connected to a central fact table through relationships represented by foreign keys. In a snowflake schema, dimension tables are normalized, resulting in a more complex schema that is more difficult to query, but is more flexible in terms of data modeling.
Cubes, on the other hand, are multidimensional structures that provide a flexible way to view data from different angles. They are commonly used for business intelligence and data analysis, and are optimized for querying and analysis. Cubes are made up of dimensions, which are categories of data, and measures, which are numeric values that can be aggregated.
In order to create a cube, data must first be loaded into a data mart. This data is then organized into dimensions and measures, and the cube is created by aggregating the data along these dimensions and measures. The resulting cube provides a flexible way to view data from different angles, and allows users to perform complex analysis and reporting.
The design of a cube is critical to its success, as the structure of the cube will determine the types of analysis that can be performed, and the speed and efficiency with which these analyses can be performed. When designing a cube, it is important to consider the following factors:
- Data requirements: What data is needed, and how will it be used?
- Performance: How will the cube be used, and what is the desired level of performance?
- Scalability: How will the cube need to scale over time, as more data is added and more users access the data?
- Security: Who will have access to the data in the cube, and what levels of security are required?
Once these factors have been considered, the cube can be designed and built. The process of designing a cube typically involves several steps, including:
- Data modeling: Creating a model of the data that will be stored in the cube, including the dimensions and measures that will be used.
- Dimension design: Designing the dimensions that will be used in the cube, including their structure, attributes, and hierarchies.
- Measure design: Designing the measures that will be used in the cube, including the calculations that will be performed, and the level of aggregation required.
- Cube design: Defining the structure of the cube, including the relationships between dimensions and measures, and the calculations that will be performed.
- Cube deployment: Deploying the cube, including loading data into the cube, and creating and testing any necessary reports and analyses.
In conclusion, data marts and cubes are important tools for business intelligence and data analysis. They provide a way to view data from different angles, and to perform complex analysis and reporting. When designing a data mart or cube, it is important to consider the data requirements, performance, scalability, and security of the system.
RUBRIC
QUALITY OF RESPONSE |
NO RESPONSE |
POOR / UNSATISFACTORY |
SATISFACTORY |
GOOD |
EXCELLENT |
Content (worth a maximum of 50% of the total points) |
Zero points: Student failed to submit the final paper. |
20 points out of 50: The essay illustrates poor understanding of the relevant material by failing to address or incorrectly addressing the relevant content; failing to identify or inaccurately explaining/defining key concepts/ideas; ignoring or incorrectly explaining key points/claims and the reasoning behind them; and/or incorrectly or inappropriately using terminology; and elements of the response are lacking. |
30 points out of 50: The essay illustrates a rudimentary understanding of the relevant material by mentioning but not full explaining the relevant content; identifying some of the key concepts/ideas though failing to fully or accurately explain many of them; using terminology, though sometimes inaccurately or inappropriately; and/or incorporating some key claims/points but failing to explain the reasoning behind them or doing so inaccurately. Elements of the required response may also be lacking. |
40 points out of 50: The essay illustrates solid understanding of the relevant material by correctly addressing most of the relevant content; identifying and explaining most of the key concepts/ideas; using correct terminology; explaining the reasoning behind most of the key points/claims; and/or where necessary or useful, substantiating some points with accurate examples. The answer is complete. |
50 points: The essay illustrates exemplary understanding of the relevant material by thoroughly and correctly addressing the relevant content; identifying and explaining all of the key concepts/ideas; using correct terminology explaining the reasoning behind key points/claims and substantiating, as necessary/useful, points with several accurate and illuminating examples. No aspects of the required answer are missing. |
Use of Sources (worth a maximum of 20% of the total points). |
Zero points: Student failed to include citations and/or references. Or the student failed to submit a final paper. |
5 out 20 points: Sources are seldom cited to support statements and/or format of citations are not recognizable as APA 6th Edition format. There are major errors in the formation of the references and citations. And/or there is a major reliance on highly questionable. The Student fails to provide an adequate synthesis of research collected for the paper. |
10 out 20 points: References to scholarly sources are occasionally given; many statements seem unsubstantiated. Frequent errors in APA 6th Edition format, leaving the reader confused about the source of the information. There are significant errors of the formation in the references and citations. And/or there is a significant use of highly questionable sources. |
15 out 20 points: Credible Scholarly sources are used effectively support claims and are, for the most part, clear and fairly represented. APA 6th Edition is used with only a few minor errors. There are minor errors in reference and/or citations. And/or there is some use of questionable sources. |
20 points: Credible scholarly sources are used to give compelling evidence to support claims and are clearly and fairly represented. APA 6th Edition format is used accurately and consistently. The student uses above the maximum required references in the development of the assignment. |
Grammar (worth maximum of 20% of total points) |
Zero points: Student failed to submit the final paper. |
5 points out of 20: The paper does not communicate ideas/points clearly due to inappropriate use of terminology and vague language; thoughts and sentences are disjointed or incomprehensible; organization lacking; and/or numerous grammatical, spelling/punctuation errors |
10 points out 20: The paper is often unclear and difficult to follow due to some inappropriate terminology and/or vague language; ideas may be fragmented, wandering and/or repetitive; poor organization; and/or some grammatical, spelling, punctuation errors |
15 points out of 20: The paper is mostly clear as a result of appropriate use of terminology and minimal vagueness; no tangents and no repetition; fairly good organization; almost perfect grammar, spelling, punctuation, and word usage. |
20 points: The paper is clear, concise, and a pleasure to read as a result of appropriate and precise use of terminology; total coherence of thoughts and presentation and logical organization; and the essay is error free. |
Structure of the Paper (worth 10% of total points) |
Zero points: Student failed to submit the final paper. |
3 points out of 10: Student needs to develop better formatting skills. The paper omits significant structural elements required for and APA 6th edition paper. Formatting of the paper has major flaws. The paper does not conform to APA 6th edition requirements whatsoever. |
5 points out of 10: Appearance of final paper demonstrates the student’s limited ability to format the paper. There are significant errors in formatting and/or the total omission of major components of an APA 6th edition paper. They can include the omission of the cover page, abstract, and page numbers. Additionally the page has major formatting issues with spacing or paragraph formation. Font size might not conform to size requirements. The student also significantly writes too large or too short of and paper |
7 points out of 10: Research paper presents an above-average use of formatting skills. The paper has slight errors within the paper. This can include small errors or omissions with the cover page, abstract, page number, and headers. There could be also slight formatting issues with the document spacing or the font Additionally the paper might slightly exceed or undershoot the specific number of required written pages for the assignment. |
10 points: Student provides a high-caliber, formatted paper. This includes an APA 6th edition cover page, abstract, page number, headers and is double spaced in 12’ Times Roman Font. Additionally, the paper conforms to the specific number of required written pages and neither goes over or under the specified length of the paper. |
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