IT 650 Principles Of Database Design

Step 2. Data Analysis: The data will be analyzed to determine database modeling. Step 3. Database normalization: Fields and

* As explained throughout this course, entity relationship modeling is a critical element of database design. If the database is not properly modeled, it is unlikely that the database will be properly developed. Using this knowledge, explain the key reasons why entity relationship modeling is important, and determine at least (1) way in which it impacts the overall development of the database.

A relational database is a database that consists of a collection of tables with columns showing entities, and rows showing data. This type of database uses a primary key and foreign key. The foreign key in another table will point to the primary key of a table, and this is how tables can relate to each other. This permits for one-to-one, one-to-many, and many-to-many relationship between the data. An advantage of relational databases includes the ease of adding or modifying new tables and entities without needing to change the structure of the database already in place. Relational database have many features, including indexing, setting data type, and setting validation tests, all these help to ensure data integrity.

Attention to detail, dealing with databases means not always getting the expected results. Some times you have to modify tables multiple times before you get the correct outputs so attention to detail is a main factor when you are dealing specially with large databases.

The purpose of normalization is to create a stable set of relations is representative of the operations of an enterprise. By doing this we are able to reduce redundancy to save space and avoid inconsistencies in data. It also ensures that the design is free of certain updates, insertions, and deletion anomalies (Ricardo, 2012). With normalization as with most anything else there are advantages and disadvantages. The advantages of normalization are: ACID, which stands for atomicity, consistency, isolation, and durability. Atomicity means the transaction is a single unit. Either the entire set of actions is carried out or is not.

My thoughts on normalization is that it requires multi-steps to enter the data into tabular format to ensure they are well-organized in a way that is consistent and lacks redundancy as well as prevent unintended or unambiguous results. As stated by Demba (2013) that normalization in relational database design often involves the process of organizing data and dividing the database into two or more tables with defined relationships in order to minimize

Increased reliability and availability: A distributed database system has multiple nodes (computers) and if one fails then others are available to do the job. So we can say that redundancy and replication of the DB increase security and accessibility.

Spellman University had requested that I develop a database for their college. The purpose of the database will be to track the students and the courses. There also will be a place in the system to track the instructors teaching each course. There are many things to be considered in composing this database. This paper will outline the entities, attributes for each entity, the type of relationship, constraints, some business rules, and the conceptual and physical models.

Normalization gives the equal importance to all the variables in terms of variability. As we selected the correlation matrix in the step 2 in the PCA component analysis, so the data is first normalized. The dataset is normalized by subtracting the

Data normalization is a process by which large tables are divided into smaller tables, and then relationships are defined between them. These relationships could be one-to-one, one-to-many, or many-to-many. The idea behind normalization is to eliminate redundant information and avoid data anomalies that could compromise the integrity of your data. Additionally, you can reduce the amount of space your database consumes and cut the need for

Wailgum, T. (2008, 05 28). Master data management : companies struggle to find the truth in massive data flows. Retrieved from

Normalizing is a technique used to help clients see life’s experiences as normal or common. When the therapist uses this technique, the client feels that if others can handle the situation maybe the client can as well. I reviewed the interview, but did not see any type of normalizing used. I think that if the situation were different, normalizing would be a tool I could use productively.

Normalization refers to the focus, concentration and independence of the child, by his own choice. It means the child has acquired the internal freedom to initiate work, be independent, and adhere (by choice) to the rules of the environment.

Three types of maintenance plans include: preventative, corrective, and adaptive maintenance which improve the data quality. Activities to improve data quality include database backups, integrity checks, optimizing the index. Preventative maintenance incorporates creating and continuously maintaining daily and/or weekly backups for data loss prevention, corrective maintenance ensures system errors are corrected. One activity associated to corrective maintenance includes resolving deadlocks, which occurs when two or more tasks permanently block each other. Adaptive maintenance includes enhancing system and database performance via based on utility assessments and optimized queries to improve performance. (Coronel, Morris, & Rob., 2013).

Databases allow us to easily store and retrieve data in a purely digital format. The strength of this is that large amounts of data can be stored and retrieved with minimal effort on the part of the user. Opposed to manually flipping through files, one can quickly pull up the requested data through a computer program. Many systems that were conventionally paper and file based have been converted to a digital format which are now stored in one or more databases.