Database Normalization and Logical Process Concept Paper

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

* Per the text, when databases are developed, they are modeled around business rules, so they accurately support a business function or operation.

1.4 For the tables you created in Review Question 1.3, what are the primary keys of each table? Do you think that any of these primary keys could be surrogate keys?

Hence, this session has enhanced my understanding about normalization and how essential to create a data that is well organized with the relationships clearly defined and established between the tables (based on the business rules) in order to eliminate data redundancy and inconsistency.

2NF (Second Normal Form): The relation should not have any partial dependencies; part of the primary key should not identify a subset of attributes in the same table. The relation must be in 1NF before it can be in 2NF [12]

Although Change Request No. 3 seems fairly simple, it will bring to light any issues that might have been encountered while interpreting the tables from the ERD Diagram. It is not uncommon for changes to be needed to the database after it has been created from the ERD. Moreover, now is the best time to catch these issues before the system is fully functioning making it much more difficult to make certain changes.

When it comes to the data model, there exists a relationship that has three different representations for the reason that database requires the relationship between the tables. It goes hand-in-hand with one another without the relationship the tables would have no purpose. The information cannot be repetitive in order for the each table to work and provide the specific database that is related to the information. In different ways the tables in the Huffman Trucking Fleet Truck database

b) You are to clearly mark Primary and Foreign Keys as shown in the sample below:

This first video talks about the concept of data normalization and guides you how large tables can be divided into smaller tables.

Suppose that you have designed a database for Marcia's Dry Cleaning that has the following tables:

Use the tables listed at the end of this document to answer the following questions. Please submit both the question and the SQL statement for that question. You may simply edit this document by adding your answers below each question.

This layout also allows contractors to deal directly with the SPV responsible for the work and allows the financial accounts to be more easily disseminated and controlled throughout the year. Table 1 shows the members of company, which branch of the company they are associated with and their position within it.

In this second normal form level, deficiencies which are transitive are removed. Third normal form satisfies the condition which requires that the relation to be in the second normal form. Another condition that it full is that it must not have transitive dependencies within the relations in the database. Transitive dependency occurs if an attribute is found to be functionally dependent on the key in an indirect manner. In this level, remaining functional dependency anomalies is removed. Boyce-Codd Normal requires that the relation to be in third normal form and that every determinant is supposed to be a candidate key. In this level, multi-valued dependencies are removed. A relation is in fourth normal form is it has a composite key and its key attributes have no multi-valued dependencies. In the fourth normal form, the remaining anomalies are removed. Fifth normal form is a generalization of the fourth normal form. It states that if a relation can be decomposed into the lossless join of several relations, then it should be so decomposed. The fifth normal form concerns dependencies that are obscure (Colomb, R. (2003)

When databases are created, data are stored in the fields of a database, some databases are simple and may contain one table. As the database grows there and get more complex, the tables will need to be normalized. According to Coronel, Morris, and Rob (2013), “normalization is a process for evaluating and correcting table structures to minimize data redundancies, thereby reducing the likelihood of data anomalies,” (p.181). There are different forms the database table can be converted to, which for the training session will be limited to three, the First Normal Form (1NF), Second Normal Form (2NF), and Third Normal Form (3NF). The 1NF is a table format which has no repeating groups and the primary key (PK) has been identified, the 3NF includes the 1NF with no partial dependencies, and the 3NF includes 2NF and no transitive dependencies. To convert a table to 1NF, need to look at the table and see if

A relational database organizes data in the form of two‐dimensional tables. Illustrated here are tables for