![]() Keep each dependent's first name, sex, birth date, and relationship to the employee.Project Practical is a management and career blog that was created by business professionals. ![]() Keep track of the dependents of each employee for insurance purposes. Also, keep track of the direct supervisor of each employee 4. Keep track of the number of hours per week that an employee works on each project. An employee is assigned to one department, but may work on several projects, which are not necessarily controlled by the same department. Store each employee's name, social security number, address, salary, sex, and birth date. A department controls a number of projects, each of which has a unique name, a unique number, and a single location. Keep track of the start data when that employee began managing the department. Each department has a unique name, a unique number, and a particular employee who manages the department. The company is organized into departments. Phase I: Requirements collection and Analysis (3 marks) Guidelines: After consultation, the following requirements for a company database have been determined: 1. The COMPANY database keeps track of a company's employees, departments, and projects. We list the data requirements for the database here, and then create its conceptual schema step-by-step as we introduce the modeling concepts of the ER model. The selected groups need to prepare the poster of their projects for display and also expected to show the physical database design with queries on their laptop on the day of presentation.ĬOMPANY DATABSE (SAMPLE) In this section we describe a sample database application, called COMPANY, which serves to illustrate the basic ER model concepts and their use in schema design. From every group one or two best projects will be selected by the teachers and prepare them to present on the mini project presentation day. Mini Proiect presentation (Main Campus) vi. 10 marks for the lab can be given for implementation of the project in the lab using query language. Oracle developer, SQL server, mySql, Visio, Smart draw, MS-Access, MS-Word, Dia etc. Student can use any of the software or tools to make physical design/relational diagram of the database, e.g. Mini project will be assigned and collected as per the calendar provided by the QAU or course roadmap. Different topics will be assigned to different groups to avoid coping and cheating. Every teacher has to form a group of two or three students as per the strength of the class. Consult the chart below to see which elements are covered in each data model.ĥ. Will differ depending on which DBMS (database management system) is used. May be significantly different from the logical data model. May include denormalization, depending on user requirements. Include foreign keys to identify relationships between tables. Physical data models: - Specify all tables and columns. This model shows all table structures, including column name, column data type, column constraints, primary key, foreign key, and relationships between tables. Physical Design - Internal schema The physical data model represents the process of adding information to the database. Normalization typically occurs by dividing an entity table into two or more tables and defining relationships between the tables. Specify foreign keys, which identify the relationship between different entities. Logical data models: - Include all entities and relationships between them. Logical Design - High level schema This model contains more detail than the conceptual ER model, without regard to how information will be physically implemented in the database. Attributes and keys may be included here. Conceptual data models: - Include important entities and the relationship between them. Conceptual ERDs can be used as the foundation for logical data models. Conceptual Design - High level schema This ER model establishes a broad view of what should be included in the model set. The result of this step is a concisely written set of users' requirements. During this step, the database designers interview or consult prospective database users to understand and document their data requirements. Requirements collection and analysis The first step is requirements collection and analysis. The most high-level type is a conceptual data model the next highest is the logical data model, and the lowest-level (and therefore most detailed) type is the physical data model. DATA MODELS There are several ways to model entity-relationship diagrams. To create conceptual, logical and physical design of the system.Ģ. To analysis and gather basic requirements of a database system. GOAL: To understand the complete design process of a mini word database system. Requirements collection and analysis 3 ii.
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