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No database modeling interviews are required for this project. The goal of Application: Start this this project is to ensure that all students have the project following Section same information before preparing the final 2 Lesson 2. presentation and creating the ERD. Most other projects contained in the Project Book will require students to work on their interviewing skills – since the goal of each database modeling project is to satisfy the clients’ needs. Project success is demonstrated with successful interviews, creative solution creation, and an effective presentation.

# 6: Given a physical database containing tables and relationships and business requirements, create the necessary queries.

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.

A schema is defined as "An organised plan of the entire database showing how and where the data is to be found, descriptions of the data, and their logical relationships. The

Relational database normalization entails organizing database and it includes the creation of tables as well as relationships establishment between the tables using designed rules intended to protect the data as well as make the database to be flexible. This is achieved through the elimination of redundancy as well as inconsistent dependency. Redundant data is known to waste the space of the disk thereby creating problems of

A database schema is built and used to group objects logically in a table and sorted into views and process procedures. A schema is somewhat of a box that contains the objects used in the database. Providing security for a database schema can be a task. To create a database schema the user will use SQL server

The database design process consists of a number of steps listed below. We will focus mainly on step 2, the conceptual database design, and the models used during this step.

This section will discuss the processes, requirements analysis, survey analysis and the approach to database consolidation.

This document is set up to give a planned view of an initial study of a new database design to be incorporated by a client’s day-to-day operations. The study done also will shed some light on the company’s operations, structure, database constraints and objectives.

The need to store and evaluate data is a perpetually growing field in the world of information systems. From the days of using flat files to very large database management systems that store petabytes of data in real time, the practice of building information from data continues to evolve. Today, the relational data model is quite ubiquitous and is used in a plethora of information systems ranging from accounting systems, banks, retail business, and scientific usage. It is important to understand the concepts involved in data modeling for a relational database management system in order to build an effective and efficient system.

•Prepare database design documents using the data definition, data manipulation, and data control language components of the SQL language.

Database development creates enterprise data modeling, which forms the range and wide-ranging contents of organizational databases. There are 5 phases in Database Development Cycle: Planning; Analysis; Design; Implementation and Maintenance.

From an information management point of view, possibly the most vexing and destructive problems are created through uncontrolled data redundancies. Such redundancies produce update and delete anomalies that create data integrity problems. The loss of data integrity can destroy the usefulness of the data within the database. (If necessary, review Chapter 1, Section 1.4.4, “Data Redundancy”, to make sure that your students understand the terminology and that they appreciate the dangers of data redundancy.)

So far in this chapter we have been discussing database systems from the point of view of the architecture in Fig. 2.3. In this section we offer a slightly different perspective on the subject.

In the logical database design phase we build the logical representation of the database, which includes identification of the important entities and relationships, and then translate this representation to a set of tables. The logical data model is a source of information for the physical design phase, providing the physical database designer with a vehicle for making tradeoffs that are very important to the design of an efficient database.