Applying Normalized Tables And The Model Of The Entity Relationship Diagram Can Then Improve The Conceptual Model

Which of the following defines a relationship in which each occurrence of data in one entity

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

Identify the different types of entities, attributes, keys and relationships you will want to consider when designing the database.

* 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.

2. using the data requirements and the business rules provided, develop a conceptual model (ERD), including attribute data types and required field lengths; and

To answer each question, darken the circle corresponding to your answer using a pencil. If you decide to change your answer, please erase your original answer completely and darken your new answer.

There are three stages to normalization, 1st NF, 2nd NF, and 3rd NF. In the 1st NF stage must ensure that the table has no multivalued attributes. If there are the table should be broken down into separate tables so that there are no multivalued attributes. The 2nd NF stage requires that we break the tables down even more to ensure that all attributes and functional dependency entirely to the primary key and has met all requirements of the 1st NF. Then, and only then will it be considered to have met 2nd NF requirements. To transform the database to 3rd NF you must identify the primary key in the 2nd NF table. Then we must identify functional dependencies in the relationship to ensure there are no transitive dependencies. These types of dependencies can cause insertion, deletion, and update

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.

Draw an REA diagram with cardinalities and tables with primary keys, foreign keys, and non-key attributes for the following business:

if A!B and B!C, then C is transitively dependent on A via B (provided that A is not functionally dependent on B or C) Third Normal Form (3NF) is a relation that is in first and second normal form in which no Non- Primary key attribute is transitively dependent on the primary key.

For this video rental store, the movie database contains three kinds of records namely customers, tapes, and rentals. Whenever a customer visits the video store, the database is looked at to determine whether the store attendants already know the new customer; and if not, a new record is added to update the new customer’s details (Beynon-Davies, 2004). In the database, important information about the customer that is stored includes the customer's name and each customer is given a unique identifier; usually an ID whenever their details have been entered into the database. In addition, in compiling the database, the customer's birth dates are vital in gauging whether they should be allowed to rent certain movies or not.

Normalization is the process where a group of values or qualities become the accepted version of a concept or idea. For example, the

• Entity-relationship modeling is logical representation of the data for an organization or for a business area. The E-R model is expressed in terms of entities in the business environment, the relationship among those entities, and attributes of both entities and their

“Schema integration is the process of identifying the components of a database which are related to one another, selecting the best representation for the global conceptual schema, and finally, integrating the components of each intermediate schema” [74].

Hierarchical data model suggests that if the relationships between data in the database are established that one data item could be described as the subordinate of another one. Products based on