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    Dbms

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    ------------------------------------------------- Course Objectives tested in this Exam are: * ------------------------------------------------- Understand normalization concepts and data structures * ------------------------------------------------- Complete physical database design * ------------------------------------------------- Perform database query processing using SQL * ------------------------------------------------- Understand multi-user and administration issues

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    1. Front-end and back-end selection 2 3.2.2. Front-end selection 2 3.3. Economical feasibility 2 3.4. Operational Feasibility 2 3.5. Schedule feasibility 2 4. General Information 2 4.1. Entities 2 4.2. ERD Diagram 2 4.3. Data Dictionary and Normalization 2 5. Testing 2 6. Conclusion 2 List of Tables Table 1: Entity course 2 Table 2: Entity Lecturer 2 Table 3: Entity Room 2 Table 4: Entity subject 2 Table 5: Entity subject_timetable 2 1. Introduction

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    Evolution of Data Models

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    The Evolution of Data Models The quest for better data management has led to different models that attempt to resolve the file system’s critical shortcomings. Because each data model evolved from its predecessors‚ it is essential to examine the major data models in roughly chronological order. 1.1 The Hierarchical Model A Hierarchical Database Model is a data model in which the data is organized into a tree-like structure. The structure allows representing information using parent/child relationships:

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    System 2-1 2.4 Graphical User Interface 2-1 2.5 Normalization 2-2 2.6 Programming Language Theories 2-3 2.7 Database Theory 2-4 2.8 Picture Manipulation Theory 3 Theoretical Framework 2-4 Computerized Reservation System for KTV Bar with Point of Sale 3-1 3.1 Introduction 3-1 3.2 System Design Specification 3-1 3.2.1 Data Flow Diagram (DFD) 3-1 3.2.2 Entity Relationship Diagram (ERD) 3-2 3-3 3.3 Summary 3-3 Symbols for Flow Diagram

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    The Physical Data Model (PDM) describes how the information represented in the Logical Data Model is actually implemented‚ how the information-exchange requirements are implemented‚ and how the data entities and their relationships are maintained. There should be a mapping from a given Logical Data Model to the Physical Data Model if both models are used. The form of the Physical Data Model can vary greatly‚ as shown in Figure 31. For some purposes‚ an additional entity-relationship style diagram

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    Databasse

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    FACULTY OF MEDIA‚ INFORMATION & COMMUNICATION TECHNOLOGY DATABASE SYSTEMS 201 Due Date: Chapters Covered: 06 MAY 2013 Database System Data Analysis Entity Relationship Modeling Enhanced E-R Models Normalization Structured Query Language Joins and Views Sub queries and Schema 100 DIP –DBS 201 Maximum Marks: Unique Assignment Number: Background This assignment is based on the content to be covered in the first semester. Naturally all material provided or prescribed will be used. Purpose: The purpose

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    online information system

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    ONLINE FACULTY AND STAFF INFORMATION SYSTEM FOR NUEVA ECIJA UNIVERSITY OF SCIENCE AND TECHNOLOGY GENERAL TINIO CAMPUS An Undergraduate Thesis Presented to: The Faculty of the College of Information and Communication Technology Nueva Ecija University of Science and Technology Cabanatuan City In Partial Fulfillment Of the Requirements for the Degree Bachelor of Science in Information Technology Major in Programming By: Mark Nicholson C. De Maliwat John Carlo V. Capulong

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    its assumptions with users‚ make the necessary changes‚ and repeat the cycle until you are sure you understand the critical issues. In this background lesson‚ you are going to use a data modeling technique—specifically‚ EntityRelationship Diagrams (ERDs)—to model the business scenario from Lesson 2. The data model you create in this lesson will form the foundation of the database that you use throughout the remaining lessons. Before you sit down in front of the keyboard and start creating a database

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    The discussions of the different types of mistakes that are made in the design phase that led to a poor database design are also discussed. Mistakes include the lack of careful planning‚ proper normalization of data‚ poor naming conventions‚ lack of sufficient documentation and extensive testing. The ERD for the database will be revealed along with the choice of the program to manage the database and allow for versatility for various platforms‚ applications‚ and features. Huffman Trucking’s

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    Proposal: SR-ht-003 for Huffman Trucking Proposal: SR-ht-003 for Huffman Trucking Huffman Trucking ’s central maintenance facility in Cleveland‚ Ohio and presently has hubs in Los Angeles‚ California‚ St. Louis‚ Missouri‚ and Bayonne‚ New Jersey. To effectively manage their business‚ it is critical that Huffman Trucking can share information regarding vehicles maintenance with each of its hubs‚ including parts inventory and vendor data. Huffman Trucking needs a solution that would allow them

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