Denormalization in DBMS
Order ID:89JHGSJE83839 Style:APA/MLA/Harvard/Chicago Pages:5-10 Instructions:
Denormalization in DBMS
In database management systems (DBMS), denormalization refers to the process of intentionally introducing redundant data into a database to improve performance. Normalization is the process of organizing data in a database to reduce redundancy and dependency. However, in some cases, normalization can lead to poor performance due to the increased number of joins required to retrieve data.
Denormalization involves relaxing the rules of normalization in order to improve performance. This can be done by duplicating data or adding redundant columns to tables. The aim is to reduce the number of joins required to retrieve data and improve the speed of query execution.
There are several reasons why denormalization may be necessary. For example, when dealing with large datasets, normalization can lead to complex join operations that slow down query execution. In addition, in some cases, it may be more efficient to store redundant data rather than constantly joining tables to retrieve it.
There are several techniques for denormalizing a database. One common technique is to introduce redundant columns into a table. For example, if a table contains customer information and order information, it may be beneficial to add a redundant column to the order table containing the customer name. This can eliminate the need to join the customer table when retrieving order information.
Another technique is to duplicate data across multiple tables. For example, if a customer has multiple orders, it may be beneficial to duplicate the customer information in each order record. This can eliminate the need to join the customer table when retrieving order information.
However, denormalization can also have some drawbacks. One major drawback is the potential for data inconsistency. When data is duplicated or redundant columns are introduced, it can be difficult to ensure that all copies of the data are kept up-to-date. This can lead to data inconsistencies and errors.
In addition, denormalization can make it more difficult to maintain the database over time. As the amount of redundant data increases, it can become more difficult to update and manage the database. It can also make it more difficult to add new features or functionality to the database.
It is important to carefully consider the trade-offs between normalization and denormalization when designing a database. In general, normalization is preferred for maintaining data consistency and ease of maintenance. However, denormalization can be a useful technique for improving performance in certain situations.
Denormalization in DBMS
RUBRIC
Excellent Quality
95-100%
Introduction 45-41 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Literature Support
91-84 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Methodology
58-53 points
Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score
50-85%
40-38 points
More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.
83-76 points
Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.
52-49 points
Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality
0-45%
37-1 points
The background and/or significance are missing. No search history information is provided.
75-1 points
Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.
48-1 points
There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
You Can Also Place the Order at www.collegepaper.us/orders/ordernow or www.crucialessay.com/orders/ordernow